今日学术视野(2019.6.26)

astro-ph.CO - 宇宙学和天体物理学

cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AP - 偏微分方程分析 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.data-an - 数据分析、 统计和概率 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [astro-ph.CO]A Halo Merger Tree Generation and Evaluation Framework
• [cs.AI]A Bandit Approach to Posterior Dialog Orchestration Under a Budget
• [cs.AI]A robot’s sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say
• [cs.AI]Implicitly Learning to Reason in First-Order Logic
• [cs.AI]Inductive general game playing
• [cs.AI]Inverse reinforcement learning conditioned on brain scan
• [cs.AI]Optimal Solution Predictions for Mixed Integer Programs
• [cs.AI]Query-driven PAC-Learning for Reasoning
• [cs.AR]A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications
• [cs.CL]A Multitask Network for Localization and Recognition of Text in Images
• [cs.CL]A Tensorized Transformer for Language Modeling
• [cs.CL]A computational model of early language acquisition from audiovisual experiences of young infants
• [cs.CL]Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
• [cs.CL]Business Taxonomy Construction Using Concept-Level Hierarchical Clustering
• [cs.CL]Classification and Clustering of Arguments with Contextualized Word Embeddings
• [cs.CL]Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
• [cs.CL]DAL: Dual Adversarial Learning for Dialogue Generation
• [cs.CL]Decomposable Neural Paraphrase Generation
• [cs.CL]Emotionally-Aware Chatbots: A Survey
• [cs.CL]Evaluating Computational Language Models with Scaling Properties of Natural Language
• [cs.CL]Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models
• [cs.CL]Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
• [cs.CL]Investigating Biases in Textual Entailment Datasets
• [cs.CL]Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
• [cs.CL]LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)
• [cs.CL]Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation
• [cs.CL]Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
• [cs.CL]Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization
• [cs.CL]On the Definition of Japanese Word
• [cs.CL]RLTM: An Efficient Neural IR Framework for Long Documents
• [cs.CL]Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
• [cs.CL]Semantically Driven Auto-completion
• [cs.CL]Sequence Generation: From Both Sides to the Middle
• [cs.CL]Smaller Text Classifiers with Discriminative Cluster Embeddings
• [cs.CL]SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech
• [cs.CL]Systematic improvement of user engagement with academic titles using computational linguistics
• [cs.CL]Translationese in Machine Translation Evaluation
• [cs.CL]Variational Sequential Labelers for Semi-Supervised Learning
• [cs.CR]A Game-Theoretic Approach to Adversarial Linear Support Vector Classification
• [cs.CR]A UK Case Study on Cybersecurity Education and Accreditation
• [cs.CR]Developing cybersecurity education and awareness programmes for Small and medium-sized enterprises (SMEs)
• [cs.CR]The Value of Collaboration in Convex Machine Learning with Differential Privacy
• [cs.CR]Towards a Blockchain based digital identity verification, record attestation and record sharing system
• [cs.CV]A Comparative Review of Recent Kinect-based Action Recognition Algorithms
• [cs.CV]A Cyclically-Trained Adversarial Network for Invariant Representation Learning
• [cs.CV]Adaptive Period Embedding for Representing Oriented Objects in Aerial Images
• [cs.CV]Adversarial Multimodal Network for Movie Question Answering
• [cs.CV]Audio-Visual Kinship Verification
• [cs.CV]Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019
• [cs.CV]Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays
• [cs.CV]CMRNet: Camera to LiDAR-Map Registration
• [cs.CV]CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
• [cs.CV]Cascade R-CNN: High Quality Object Detection and Instance Segmentation
• [cs.CV]Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking
• [cs.CV]Deep Exemplar-based Video Colorization
• [cs.CV]Deep Instance-Level Hard Negative Mining Model for Histopathology Images
• [cs.CV]Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
• [cs.CV]Deep learning approach to description and classification of fungi microscopic images
• [cs.CV]Dense Scale Network for Crowd Counting
• [cs.CV]Densely Connected Search Space for More Flexible Neural Architecture Search
• [cs.CV]ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
• [cs.CV]GANalyze: Toward Visual Definitions of Cognitive Image Properties
• [cs.CV]Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
• [cs.CV]Image Retrieval and Pattern Spotting using Siamese Neural Network
• [cs.CV]Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments
• [cs.CV]Integrating Knowledge and Reasoning in Image Understanding
• [cs.CV]Iris Verification with Convolutional Neural Network
• [cs.CV]LMVP: Video Predictor with Leaked Motion Information
• [cs.CV]Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
• [cs.CV]Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks
• [cs.CV]Remote Estimation of Free-Flow Speeds
• [cs.CV]Resolution-invariant Person Re-Identification
• [cs.CV]Saliency Detection With Fully Convolutional Neural Network
• [cs.CV]Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
• [cs.CV]SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning
• [cs.CV]Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images
• [cs.CY]A Model of the Optimal Selection of Crypto Assets
• [cs.CY]When is the best time to learn? — Evidence from an introductory statistics course
• [cs.DB]Bag Query Containment and Information Theory
• [cs.DC]AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data
• [cs.DC]Asymmetric Distributed Trust
• [cs.DC]Computation Offloading and Resource Allocation for Backhaul Limited Cooperative MEC Systems
• [cs.DC]Efficient Peer-to-Peer Content Sharing for Learning in Virtual Worlds
• [cs.DC]Heterogeneous Active Messages (HAM) — Implementing Lightweight Remote Procedure Calls in C++
• [cs.DC]ZOFI: Zero-Overhead Fault Injection Tool for Fast Transient Fault Coverage Analysis
• [cs.DS]Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs
• [cs.ET]A reaction network scheme which implements inference and learning for Hidden Markov Models
• [cs.GR]Interactive Subspace Exploration on Generative Image Modelling
• [cs.GT]Foolproof Cooperative Learning
• [cs.GT]Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
• [cs.HC]Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories
• [cs.HC]Hybrid-Learning approach toward situation recognition and handling
• [cs.HC]Scenarios for Educational and Game Activities using Internet of Things Data
• [cs.IR]Cross-lingual Data Transformation and Combination for Text Classification
• [cs.IR]Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
• [cs.IT]A novel soft-aided bit-marking decoder for product codes
• [cs.IT]Blind decoding in $α$-Stable noise: An online learning approach
• [cs.IT]Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
• [cs.IT]Coded Distributed Computing: Performance Limits and Code Designs
• [cs.IT]Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization
• [cs.IT]List Decoding of Insertion and Deletion Codes
• [cs.IT]Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO versus Cooperative MIMO
• [cs.IT]Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations
• [cs.IT]New Optimal $Z$-Complementary Code Sets from Matrices of Polynomials
• [cs.IT]On Low Density Majority Codes
• [cs.IT]On q-ary codes with two distances d and d+1
• [cs.IT]On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications
• [cs.IT]Task-based Solutions to Embedded Index Coding
• [cs.LG]A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction
• [cs.LG]A Study of State Aliasing in Structured Prediction with RNNs
• [cs.LG]Adversarial Computation of Optimal Transport Maps
• [cs.LG]Adversarial Examples to Fool Iris Recognition Systems
• [cs.LG]Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
• [cs.LG]An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space
• [cs.LG]An enhanced KNN-based twin support vector machine with stable learning rules
• [cs.LG]Asymmetric Random Projections
• [cs.LG]Bayesian Optimization with Directionally Constrained Search
• [cs.LG]Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
• [cs.LG]Binary Stochastic Representations for Large Multi-class Classification
• [cs.LG]Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
• [cs.LG]Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
• [cs.LG]Deep Conservative Policy Iteration
• [cs.LG]Defending Against Adversarial Examples with K-Nearest Neighbor
• [cs.LG]Distribution-Independent PAC Learning of Halfspaces with Massart Noise
• [cs.LG]Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
• [cs.LG]Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
• [cs.LG]Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications
• [cs.LG]Flattening a Hierarchical Clustering through Active Learning
• [cs.LG]Generating Counterfactual and Contrastive Explanations using SHAP
• [cs.LG]Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel
• [cs.LG]In Hindsight: A Smooth Reward for Steady Exploration
• [cs.LG]Inferring Latent dimension of Linear Dynamical System with Minimum Description Length
• [cs.LG]Learning Activation Functions: A new paradigm of understanding Neural Networks
• [cs.LG]Learning Belief Representations for Imitation Learning in POMDPs
• [cs.LG]Learning Set-equivariant Functions with SWARM Mappings
• [cs.LG]Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation
• [cs.LG]Lifelong Learning Starting From Zero
• [cs.LG]Making the Cut: A Bandit-based Approach to Tiered Interviewing
• [cs.LG]Modern Deep Reinforcement Learning Algorithms
• [cs.LG]Nested Cavity Classifier: performance and remedy
• [cs.LG]On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
• [cs.LG]One-Shot Neural Architecture Search Through A Posteriori Distribution Guided Sampling
• [cs.LG]Optimal Use of Experience in First Person Shooter Environments
• [cs.LG]Proximal Distilled Evolutionary Reinforcement Learning
• [cs.LG]Quality of Uncertainty Quantification for Bayesian Neural Network Inference
• [cs.LG]Ranking Policy Gradient
• [cs.LG]Reinforcement Learning with Convex Constraints
• [cs.LG]Scalable Differentially Private Generative Student Model via PATE
• [cs.LG]SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
• [cs.LG]Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners
• [cs.LG]Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units
• [cs.LG]The Cost of a Reductions Approach to Private Fair Optimization
• [cs.LG]The NN-Stacking: Feature weighted linear stacking through neural networks
• [cs.LG]To each route its own ETA: A generative modeling framework for ETA prediction
• [cs.LG]Transfer of Machine Learning Fairness across Domains
• [cs.LG]Universal Bayes consistency in metric spaces
• [cs.LG]Unsupervised Ensemble Classification with Dependent Data
• [cs.LG]Variations on the Chebyshev-Lagrange Activation Function
• [cs.LO]A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors
• [cs.MM]Had You Looked Where I’m Looking: Cross-user Similarities in Viewing Behavior for 360$^{\circ}$ Video and Caching Implications
• [cs.NE]Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks
• [cs.NE]The phase diagram of approximation rates for deep neural networks
• [cs.NI]Integrated Access Backhauled Networks
• [cs.NI]Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges
• [cs.RO]3D Multi-Robot Patrolling with a Two-Level Coordination Strategy
• [cs.RO]A Distributed Predictive Control Approach for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems
• [cs.RO]An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors
• [cs.RO]DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL
• [cs.RO]Effective Estimation of Contact Force and Torque for Vision-based Tactile Sensor with Helmholtz-Hodge Decomposition
• [cs.RO]Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors
• [cs.RO]Learning Grasp Affordance Reasoning through Semantic Relations
• [cs.RO]Quality Amplification of Error Prone Navigation for Swarms of Micro Aerial Vehicles (with Detailed Simulations)
• [cs.RO]Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor
• [cs.RO]Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics
• [cs.RO]Wind Gust Detection using Physical Sensors in Quadcopters
• [cs.SD]Classical Music Prediction and Composition by means of Variational Autoencoders
• [cs.SD]Keyword Spotting for Hearing Assistive Devices Robust to External Speakers
• [cs.SD]Self Multi-Head Attention for Speaker Recognition
• [cs.SD]Single-Channel Speech Separation with Auxiliary Speaker Embeddings
• [cs.SD]Who said that?: Audio-visual speaker diarisation of real-world meetings
• [cs.SI]Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures
• [eess.AS]End-to-End ASR for Code-switched Hindi-English Speech
• [eess.IV]Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
• [eess.IV]Automatic Intracranial Brain Segmentation from Computed Tomography Head Images
• [eess.IV]Boosting the rule-out accuracy of deep disease detection using class weight modifiers
• [eess.IV]Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
• [eess.IV]Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
• [eess.IV]Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations
• [eess.IV]Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
• [eess.IV]Improving CCTA based lesions’ hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
• [eess.IV]Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
• [eess.IV]Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants
• [eess.IV]Remote Sensor Design for Visual Recognition with Convolutional Neural Networks
• [eess.IV]Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training
• [eess.SP]Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems
• [eess.SP]Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks
• [eess.SP]Compressive Sensing Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO
• [eess.SP]Deep urban unaided precise GNSS vehicle positioning
• [eess.SP]Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach
• [eess.SP]Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks
• [eess.SP]On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels
• [eess.SP]Reinforcement Learning-Based Trajectory Design for the Drone Base Stations
• [eess.SP]UAV-Involved Wireless Physical-Layer Secure Communications: Overview and Research Directions
• [eess.SP]Wireless Communications Through Reconfigurable Intelligent Surfaces
• [eess.SY]On DICE-free Smart Cities, Particulate Matter, and Feedback-Enabled Access Control
• [math.AP]Mumford-Shah functionals on graphs and their asymptotics
• [math.CO]A note on the linkage construction for constant dimension codes
• [math.OC]A Fine-Grained Variant of the Hierarchy of Lasserre
• [math.OC]Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems
• [math.OC]Re-Weighted $\ell_1$ Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights
• [math.PR]Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory
• [math.ST]Algebraic Statistics in Practice: Applications to Networks
• [math.ST]Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model
• [math.ST]Bivariate FCLT for the Sample Quantile and Measures of Dispersion for Augmented GARCH($p$,$q$) processes
• [math.ST]Local Exchangeability
• [math.ST]Parametric estimation for convolutionally observed diffusion processes
• [math.ST]Relative variation indexes for multivariate continuous distributions on $[0,\infty)^k$ and extensions
• [math.ST]Sensitivity Analysis and Generalized Chaos Expansions. Lower Bounds for Sobol indices
• [math.ST]Sequential estimation of quantiles with applications to A/B-testing and best-arm identification
• [math.ST]Structure learning in graphical models by covariance queries
• [math.ST]The Measurement of Statistical Evidence as the Basis for Statistical Reasoning
• [physics.chem-ph]Unifying machine learning and quantum chemistry — a deep neural network for molecular wavefunctions
• [physics.data-an]Uncertainty in the Predictive Capability of Detectors that Process Waveforms from Explosions
• [q-bio.NC]A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
• [q-bio.NC]Neural networks with motivation
• [q-bio.NC]Visualizing Representational Dynamics with Multidimensional Scaling Alignment
• [stat.AP]Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements
• [stat.AP]Design and analysis considerations for a sequentially randomized HIV prevention trial
• [stat.AP]Quantitative evaluation of regulatory policies for reducing deforestation using the bent-cable regression model
• [stat.AP]Scalable Online Survey Framework: from Sampling to Analysis
• [stat.AP]The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
• [stat.CO]Copula Density Estimation by Finite Mixture of Parametric Copula Densities
• [stat.ME]A note on sum and difference of correlated chi-squared variables
• [stat.ME]Averaging causal estimators in high dimensions
• [stat.ME]Density Estimation on a Network
• [stat.ME]Inference for multiple heterogeneous networks with a common invariant subspace
• [stat.ME]Robust convex clustering: How does fusion penalty enhance robustness?
• [stat.ML]A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators
• [stat.ML]A neurally plausible model learns successor representations in partially observable environments
• [stat.ML]A support vector regression-based multi-fidelity surrogate model
• [stat.ML]Best Split Nodes for Regression Trees
• [stat.ML]Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
• [stat.ML]Compositionally-Warped Gaussian Processes
• [stat.ML]Density-based Clustering with Best-scored Random Forest
• [stat.ML]Fisher and Kernel Fisher Discriminant Analysis: Tutorial
• [stat.ML]Model Bridging: To Interpretable Simulation Model From Neural Network
• [stat.ML]Multi-task Learning for Aggregated Data using Gaussian Processes
• [stat.ML]Parzen Filters for Spectral Decomposition of Signals
• [stat.ML]Recurrent Adversarial Service Times
• [stat.ML]Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
• [stat.ML]The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations

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• [astro-ph.CO]A Halo Merger Tree Generation and Evaluation Framework
Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Jenny A. González, Nelson D. Padilla, Diego Dujovne
http://arxiv.org/abs/1906.09382v1

• [cs.AI]A Bandit Approach to Posterior Dialog Orchestration Under a Budget
Sohini Upadhyay, Mayank Agarwal, Djallel Bounneffouf, Yasaman Khazaeni
http://arxiv.org/abs/1906.09384v1

• [cs.AI]A robot’s sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say
Johan F. Hoorn, Denice J. Tuinhof
http://arxiv.org/abs/1906.09689v1

• [cs.AI]Implicitly Learning to Reason in First-Order Logic
Vaishak Belle, Brendan Juba
http://arxiv.org/abs/1906.10106v1

• [cs.AI]Inductive general game playing
Andrew Cropper, Richard Evans, Mark Law
http://arxiv.org/abs/1906.09627v1

• [cs.AI]Inverse reinforcement learning conditioned on brain scan
Tofara Moyo
http://arxiv.org/abs/1906.09770v1

• [cs.AI]Optimal Solution Predictions for Mixed Integer Programs
Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang, Yinghui Xu, Le Song
http://arxiv.org/abs/1906.09575v1

• [cs.AI]Query-driven PAC-Learning for Reasoning
Brendan Juba
http://arxiv.org/abs/1906.10118v1

• [cs.AR]A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications
Omer Anjum, Wen-Mei Hwu, Jinjun Xiong
http://arxiv.org/abs/1906.09380v1

• [cs.CL]A Multitask Network for Localization and Recognition of Text in Images
Mohammad Reza Sarshogh, Keegan E. Hines
http://arxiv.org/abs/1906.09266v1

• [cs.CL]A Tensorized Transformer for Language Modeling
Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Dawei Song, Ming Zhou
http://arxiv.org/abs/1906.09777v1

• [cs.CL]A computational model of early language acquisition from audiovisual experiences of young infants
Okko Räsänen, Khazar Khorrami
http://arxiv.org/abs/1906.09832v1

• [cs.CL]Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, Rosalind Picard
http://arxiv.org/abs/1906.09308v1

• [cs.CL]Business Taxonomy Construction Using Concept-Level Hierarchical Clustering
Haodong Bai, Frank Z. Xing, Erik Cambria, Win-Bin Huang
http://arxiv.org/abs/1906.09694v1

• [cs.CL]Classification and Clustering of Arguments with Contextualized Word Embeddings
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych
http://arxiv.org/abs/1906.09821v1

• [cs.CL]Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura
http://arxiv.org/abs/1906.09795v1

• [cs.CL]DAL: Dual Adversarial Learning for Dialogue Generation
Shaobo Cui, Rongzhong Lian, Di Jiang, Yuanfeng Song, Siqi Bao, Yong Jiang
http://arxiv.org/abs/1906.09556v1

• [cs.CL]Decomposable Neural Paraphrase Generation
Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu
http://arxiv.org/abs/1906.09741v1

• [cs.CL]Emotionally-Aware Chatbots: A Survey
Endang Wahyu Pamungkas
http://arxiv.org/abs/1906.09774v1

• [cs.CL]Evaluating Computational Language Models with Scaling Properties of Natural Language
Shuntaro Takahashi, Kumiko Tanaka-Ishii
http://arxiv.org/abs/1906.09379v1

• [cs.CL]Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models
Chris Hokamp, John Glover, Demian Gholipour
http://arxiv.org/abs/1906.09675v1

• [cs.CL]Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly
http://arxiv.org/abs/1906.09317v1

• [cs.CL]Investigating Biases in Textual Entailment Datasets
Shawn Tan, Yikang Shen, Chin-wei Huang, Aaron Courville
http://arxiv.org/abs/1906.09635v1

• [cs.CL]Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
Maximilian Spliethöver, Jonas Klaff, Hendrik Heuer
http://arxiv.org/abs/1906.10068v1

• [cs.CL]LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)
Daniel Loureiro, Alipio Jorge
http://arxiv.org/abs/1906.10002v1

• [cs.CL]Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation
Daniel Loureiro, Alipio Jorge
http://arxiv.org/abs/1906.10007v1

• [cs.CL]Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
Caio Corro, Ivan Titov
http://arxiv.org/abs/1906.09992v1

• [cs.CL]Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization
Hadrien Van Lierde, Tommy W. S. Chow
http://arxiv.org/abs/1906.09445v1

• [cs.CL]On the Definition of Japanese Word
Yugo Murawaki
http://arxiv.org/abs/1906.09719v1

• [cs.CL]RLTM: An Efficient Neural IR Framework for Long Documents
Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu
http://arxiv.org/abs/1906.09404v1

• [cs.CL]Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
http://arxiv.org/abs/1906.09444v1

• [cs.CL]Semantically Driven Auto-completion
Konstantine Arkoudas, Mohamed Yahya
http://arxiv.org/abs/1906.09450v1

• [cs.CL]Sequence Generation: From Both Sides to the Middle
Long Zhou, Jiajun Zhang, Chengqing Zong, Heng Yu
http://arxiv.org/abs/1906.09601v1

• [cs.CL]Smaller Text Classifiers with Discriminative Cluster Embeddings
Mingda Chen, Kevin Gimpel
http://arxiv.org/abs/1906.09532v1

• [cs.CL]SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech
Shreyas Seshadri, Okko Räsänen
http://arxiv.org/abs/1906.09825v1

• [cs.CL]Systematic improvement of user engagement with academic titles using computational linguistics
Nim Dvir, Ruti Gafni
http://arxiv.org/abs/1906.09569v1

• [cs.CL]Translationese in Machine Translation Evaluation
Yvette Graham, Barry Haddow, Philipp Koehn
http://arxiv.org/abs/1906.09833v1

• [cs.CL]Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel
http://arxiv.org/abs/1906.09535v1

• [cs.CR]A Game-Theoretic Approach to Adversarial Linear Support Vector Classification
Farhad Farokhi
http://arxiv.org/abs/1906.09721v1

• [cs.CR]A UK Case Study on Cybersecurity Education and Accreditation
Tom Crick, James H. Davenport, Alastair Irons, Tom Prickett
http://arxiv.org/abs/1906.09584v1

• [cs.CR]Developing cybersecurity education and awareness programmes for Small and medium-sized enterprises (SMEs)
Maria Bada, Jason R. C. Nurse
http://arxiv.org/abs/1906.09594v1

• [cs.CR]The Value of Collaboration in Convex Machine Learning with Differential Privacy
Nan Wu, Farhad Farokhi, David Smith, Mohamed Ali Kaafar
http://arxiv.org/abs/1906.09679v1

• [cs.CR]Towards a Blockchain based digital identity verification, record attestation and record sharing system
Mehmet Aydar, Serkan Ayvaz
http://arxiv.org/abs/1906.09791v1

• [cs.CV]A Comparative Review of Recent Kinect-based Action Recognition Algorithms
Lei Wang, Du Q. Huynh, Piotr Koniusz
http://arxiv.org/abs/1906.09955v1

• [cs.CV]A Cyclically-Trained Adversarial Network for Invariant Representation Learning
Jiawei Chen, Janusz Konrad, Prakash Ishwar
http://arxiv.org/abs/1906.09313v1

• [cs.CV]Adaptive Period Embedding for Representing Oriented Objects in Aerial Images
Yixing Zhu, Xueqing Wu, Jun Du
http://arxiv.org/abs/1906.09447v1

• [cs.CV]Adversarial Multimodal Network for Movie Question Answering
Zhaoquan Yuan, Siyuan Sun, Lixin Duan, Xiao Wu, Changsheng Xu
http://arxiv.org/abs/1906.09844v1

• [cs.CV]Audio-Visual Kinship Verification
Xiaoting Wu, Eric Granger, Xiaoyi Feng
http://arxiv.org/abs/1906.10096v1

• [cs.CV]Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019
Xiaohan Wang, Yu Wu, Linchao Zhu, Yi Yang
http://arxiv.org/abs/1906.09383v1

• [cs.CV]Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays
Tanveer Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
http://arxiv.org/abs/1906.09336v1

• [cs.CV]CMRNet: Camera to LiDAR-Map Registration
Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti, Wolfram Burgard
http://arxiv.org/abs/1906.10109v1

• [cs.CV]CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell
http://arxiv.org/abs/1906.09676v1

• [cs.CV]Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai, Nuno Vasconcelos
http://arxiv.org/abs/1906.09756v1

• [cs.CV]Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking
Niu Yan, Jihong Ouyang
http://arxiv.org/abs/1906.09884v1

• [cs.CV]Deep Exemplar-based Video Colorization
Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen
http://arxiv.org/abs/1906.09909v1

• [cs.CV]Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
http://arxiv.org/abs/1906.09681v1

• [cs.CV]Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng
http://arxiv.org/abs/1906.09433v1

• [cs.CV]Deep learning approach to description and classification of fungi microscopic images
Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Włoch
http://arxiv.org/abs/1906.09449v1

• [cs.CV]Dense Scale Network for Crowd Counting
Feng Dai, Hao Liu, Yike Ma, Juan Cao, Qiang Zhao, Yongdong Zhang
http://arxiv.org/abs/1906.09707v1

• [cs.CV]Densely Connected Search Space for More Flexible Neural Architecture Search
Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
http://arxiv.org/abs/1906.09607v1

• [cs.CV]ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
Yu Wang, Quan Zhou, Xiaofu Wu
http://arxiv.org/abs/1906.09826v1

• [cs.CV]GANalyze: Toward Visual Definitions of Cognitive Image Properties
Authors, :, Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
http://arxiv.org/abs/1906.10112v1

• [cs.CV]Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu
http://arxiv.org/abs/1906.09288v1

• [cs.CV]Image Retrieval and Pattern Spotting using Siamese Neural Network
Kelly L. Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira
http://arxiv.org/abs/1906.09513v1

• [cs.CV]Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments
Kai Niu, Yan Huang, Wanli Ouyang, Liang Wang
http://arxiv.org/abs/1906.09610v1

• [cs.CV]Integrating Knowledge and Reasoning in Image Understanding
Somak Aditya, Yezhou Yang, Chitta Baral
http://arxiv.org/abs/1906.09954v1

• [cs.CV]Iris Verification with Convolutional Neural Network
Radim Spetlik, Ivan Razumenic
http://arxiv.org/abs/1906.09472v1

• [cs.CV]LMVP: Video Predictor with Leaked Motion Information
Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin
http://arxiv.org/abs/1906.10101v1

• [cs.CV]Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
Hideki Oki, Takio Kurita
http://arxiv.org/abs/1906.09739v1

• [cs.CV]Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks
Sumant Sharma, Simone D’Amico
http://arxiv.org/abs/1906.09868v1

• [cs.CV]Remote Estimation of Free-Flow Speeds
Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
http://arxiv.org/abs/1906.10104v1

• [cs.CV]Resolution-invariant Person Re-Identification
Shunan Mao, Shiliang Zhang, Ming Yang
http://arxiv.org/abs/1906.09748v1

• [cs.CV]Saliency Detection With Fully Convolutional Neural Network
Hooman Misaghi, Reza Askari Moghadam, Ali Mahmoudi, Kurosh Madani
http://arxiv.org/abs/1906.09806v1

• [cs.CV]Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin, Nagender Aneja, Samuel Abramov
http://arxiv.org/abs/1906.09587v1

• [cs.CV]SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning
Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu
http://arxiv.org/abs/1906.10048v1

• [cs.CV]Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images
Jakub Nalepa, Michal Myller, Michal Kawulok
http://arxiv.org/abs/1906.09631v1

• [cs.CY]A Model of the Optimal Selection of Crypto Assets
Silvia Bartolucci, Andrei Kirilenko
http://arxiv.org/abs/1906.09632v1

• [cs.CY]When is the best time to learn? — Evidence from an introductory statistics course
Till Massing, Natalie Reckmann, Alexander Blasberg, Benjamin Otto, Christoph Hanck, Michael Goedicke
http://arxiv.org/abs/1906.09864v1

• [cs.DB]Bag Query Containment and Information Theory
Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu
http://arxiv.org/abs/1906.09727v1

• [cs.DC]AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data
Nguyen Ho, Huy Vo, Mai Vu, Torben Bach Pedersen
http://arxiv.org/abs/1906.09995v1

• [cs.DC]Asymmetric Distributed Trust
Christian Cachin, Björn Tackmann
http://arxiv.org/abs/1906.09314v1

• [cs.DC]Computation Offloading and Resource Allocation for Backhaul Limited Cooperative MEC Systems
Phuong-Duy Nguyen, Vu Nguyen Ha, Long Bao Le
http://arxiv.org/abs/1906.09548v1

• [cs.DC]Efficient Peer-to-Peer Content Sharing for Learning in Virtual Worlds
Bingqing Shen, Jingzhi Guo
http://arxiv.org/abs/1906.09438v1

• [cs.DC]Heterogeneous Active Messages (HAM) — Implementing Lightweight Remote Procedure Calls in C++
Matthias Noack
http://arxiv.org/abs/1906.09702v1

• [cs.DC]ZOFI: Zero-Overhead Fault Injection Tool for Fast Transient Fault Coverage Analysis
Vasileios Porpodas
http://arxiv.org/abs/1906.09390v1

• [cs.DS]Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs
Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang
http://arxiv.org/abs/1906.09372v1

• [cs.ET]A reaction network scheme which implements inference and learning for Hidden Markov Models
Abhinav Singh, Carsten Wiuf, Abhishek Behra, Manoj Gopalkrishnan
http://arxiv.org/abs/1906.09410v1

• [cs.GR]Interactive Subspace Exploration on Generative Image Modelling
Toby Chong Long Hin, I-Chao Shen, Issei Sato, Takeo Igarashi
http://arxiv.org/abs/1906.09840v1

• [cs.GT]Foolproof Cooperative Learning
Alexis Jacq, Julien Perolat, Matthieu Geist, Olivier Pietquin
http://arxiv.org/abs/1906.09831v1

• [cs.GT]Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
Alexey Drutsa
http://arxiv.org/abs/1906.09331v1

• [cs.HC]Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories
Julen Urain, Jan Peters
http://arxiv.org/abs/1906.09802v1

• [cs.HC]Hybrid-Learning approach toward situation recognition and handling
Hossein Rajaby Faghihi, Mohammad Amin Fazli, Jafar Habibi
http://arxiv.org/abs/1906.09816v1

• [cs.HC]Scenarios for Educational and Game Activities using Internet of Things Data
Chrysanthi Tziortzioti, Irene Mavrommati, Georgios Mylonas, Andrea Vitaletti, Ioannis Chatzigiannakis
http://arxiv.org/abs/1906.09934v1

• [cs.IR]Cross-lingual Data Transformation and Combination for Text Classification
Jun Jiang, Shumao Pang, Xia Zhao, Liwei Wang, Andrew Wen, Hongfang Liu, Qianjin Feng
http://arxiv.org/abs/1906.09543v1

• [cs.IR]Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang
http://arxiv.org/abs/1906.09506v1

• [cs.IT]A novel soft-aided bit-marking decoder for product codes
Gabriele Liga, Alireza Sheikh, Alex Alvarado
http://arxiv.org/abs/1906.09792v1

• [cs.IT]Blind decoding in $α$-Stable noise: An online learning approach
Vishnu Raj, Sheetal Kalyani
http://arxiv.org/abs/1906.09811v1

• [cs.IT]Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
Qianqian Yang, Parisa Hassanzadeh, Deniz Gündüz, Elza Erkip
http://arxiv.org/abs/1906.09970v1

• [cs.IT]Coded Distributed Computing: Performance Limits and Code Designs
Mohammad Vahid Jamali, Mahdi Soleymani, Hessam Mahdavifar
http://arxiv.org/abs/1906.10105v1

• [cs.IT]Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization
Yifei Yang, Beixiong Zheng, Shuowen Zhang, Rui Zhang
http://arxiv.org/abs/1906.09956v1

• [cs.IT]List Decoding of Insertion and Deletion Codes
Shu Liu, Ivan Tjuawinata, Chaoping Xing
http://arxiv.org/abs/1906.09705v1

• [cs.IT]Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO versus Cooperative MIMO
Zhilin Chen, Foad Sohrabi, Wei Yu
http://arxiv.org/abs/1906.09494v1

• [cs.IT]Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations
Anuththara Rupasinghe, Behtash Babadi
http://arxiv.org/abs/1906.09359v1

• [cs.IT]New Optimal $Z$-Complementary Code Sets from Matrices of Polynomials
Shibsankar Das, Udaya Parampalli, Sudhan Majhi, Zilong Liu
http://arxiv.org/abs/1906.09542v1

• [cs.IT]On Low Density Majority Codes
Hajir Roozbehani, Yury Polyanskiy
http://arxiv.org/abs/1906.09812v1

• [cs.IT]On q-ary codes with two distances d and d+1
P. Boyvalenkov, K. Delchev, D. Zinoviev, V. Zinoviev
http://arxiv.org/abs/1906.09645v1

• [cs.IT]On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications
Jin-Yuan Wang, Hong Ge, Min Lin, Jun-Bo Wang, Jianxin Dai, Mohamed-Slim Alouini
http://arxiv.org/abs/1906.09512v1

• [cs.IT]Task-based Solutions to Embedded Index Coding
Ishay Haviv
http://arxiv.org/abs/1906.09794v1

• [cs.LG]A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction
Mohamed Hammad
http://arxiv.org/abs/1906.09358v1

• [cs.LG]A Study of State Aliasing in Structured Prediction with RNNs
Layla El Asri, Adam Trischler
http://arxiv.org/abs/1906.09310v1

• [cs.LG]Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar, Aaron Courville
http://arxiv.org/abs/1906.09691v1

• [cs.LG]Adversarial Examples to Fool Iris Recognition Systems
Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi
http://arxiv.org/abs/1906.09300v1

• [cs.LG]Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, Shengyu Zhang
http://arxiv.org/abs/1906.09427v1

• [cs.LG]An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space
Cun Mu, Binwei Yang, Zheng Yan
http://arxiv.org/abs/1906.10095v1

• [cs.LG]An enhanced KNN-based twin support vector machine with stable learning rules
A. Mir, Jalal A. Nasiri
http://arxiv.org/abs/1906.09443v1

• [cs.LG]Asymmetric Random Projections
Nick Ryder, Zohar Karnin, Edo Liberty
http://arxiv.org/abs/1906.09489v1

• [cs.LG]Bayesian Optimization with Directionally Constrained Search
Yang Li, Yaqiang Yao
http://arxiv.org/abs/1906.09459v1

• [cs.LG]Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen
http://arxiv.org/abs/1906.09693v1

• [cs.LG]Binary Stochastic Representations for Large Multi-class Classification
Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer
http://arxiv.org/abs/1906.09838v1

• [cs.LG]Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
http://arxiv.org/abs/1906.09882v1

• [cs.LG]Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu
http://arxiv.org/abs/1906.09551v1

• [cs.LG]Deep Conservative Policy Iteration
Nino Vieillard, Olivier Pietquin, Matthieu Geist
http://arxiv.org/abs/1906.09784v1

• [cs.LG]Defending Against Adversarial Examples with K-Nearest Neighbor
Chawin Sitawarin, David Wagner
http://arxiv.org/abs/1906.09525v1

• [cs.LG]Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos
http://arxiv.org/abs/1906.10075v1

• [cs.LG]Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Justin Domke, Daniel Sheldon
http://arxiv.org/abs/1906.10115v1

• [cs.LG]Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
Ruo-Chun Tzeng, Shan-Hung Wu
http://arxiv.org/abs/1906.09602v1

• [cs.LG]Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications
Nimisha Ghosh, Rourab Paul, Satyabrata Maity, Krishanu Maity, Sayantan Saha
http://arxiv.org/abs/1906.09769v1

• [cs.LG]Flattening a Hierarchical Clustering through Active Learning
Claudio Gentile, Fabio Vitale, Anand Rajagopalan
http://arxiv.org/abs/1906.09458v1

• [cs.LG]Generating Counterfactual and Contrastive Explanations using SHAP
Shubham Rathi
http://arxiv.org/abs/1906.09293v1

• [cs.LG]Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel
Ye Zhu, Kai Ming Ting
http://arxiv.org/abs/1906.09744v1

• [cs.LG]In Hindsight: A Smooth Reward for Steady Exploration
Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme
http://arxiv.org/abs/1906.09781v1

• [cs.LG]Inferring Latent dimension of Linear Dynamical System with Minimum Description Length
Yang Li
http://arxiv.org/abs/1906.09536v1

• [cs.LG]Learning Activation Functions: A new paradigm of understanding Neural Networks
Mohit Goyal, Rajan Goyal, Brejesh Lall
http://arxiv.org/abs/1906.09529v1

• [cs.LG]Learning Belief Representations for Imitation Learning in POMDPs
Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
http://arxiv.org/abs/1906.09510v1

• [cs.LG]Learning Set-equivariant Functions with SWARM Mappings
Roland Vollgraf
http://arxiv.org/abs/1906.09400v1

• [cs.LG]Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation
Nikki Lijing Kuang, Clement H. C. Leung
http://arxiv.org/abs/1906.09340v1

• [cs.LG]Lifelong Learning Starting From Zero
Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani
http://arxiv.org/abs/1906.09852v1

• [cs.LG]Making the Cut: A Bandit-based Approach to Tiered Interviewing
Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson
http://arxiv.org/abs/1906.09621v1

• [cs.LG]Modern Deep Reinforcement Learning Algorithms
Sergey Ivanov, Alexander D’yakonov
http://arxiv.org/abs/1906.10025v1

• [cs.LG]Nested Cavity Classifier: performance and remedy
Waleed A. Mustafa, Waleed A. Yousef
http://arxiv.org/abs/1906.09669v1

• [cs.LG]On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan
http://arxiv.org/abs/1906.09624v1

• [cs.LG]One-Shot Neural Architecture Search Through A Posteriori Distribution Guided Sampling
Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng
http://arxiv.org/abs/1906.09557v1

• [cs.LG]Optimal Use of Experience in First Person Shooter Environments
Matthew Aitchison
http://arxiv.org/abs/1906.09734v1

• [cs.LG]Proximal Distilled Evolutionary Reinforcement Learning
Cristian Bodnar, Ben Day, Pietro Lio’
http://arxiv.org/abs/1906.09807v1

• [cs.LG]Quality of Uncertainty Quantification for Bayesian Neural Network Inference
Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez
http://arxiv.org/abs/1906.09686v1

• [cs.LG]Ranking Policy Gradient
Kaixiang Lin, Jiayu Zhou
http://arxiv.org/abs/1906.09674v1

• [cs.LG]Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudik, Robert Schapire
http://arxiv.org/abs/1906.09323v1

• [cs.LG]Scalable Differentially Private Generative Student Model via PATE
Yunhui Long, Suxin Lin, Zhuolin Yang, Carl A. Gunter, Bo Li
http://arxiv.org/abs/1906.09338v1

• [cs.LG]SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
Marek Śmieja, Maciej Wołczyk, Jacek Tabor, Bernhard C. Geiger
http://arxiv.org/abs/1906.09333v1

• [cs.LG]Statistical Learning Machines from ATR to DNA Microarrays: design, assessment, and advice for practitioners
Waleed A. Yousef
http://arxiv.org/abs/1906.10019v1

• [cs.LG]Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units
Prathamesh Deshpande, Sunita Sarawagi
http://arxiv.org/abs/1906.09926v1

• [cs.LG]The Cost of a Reductions Approach to Private Fair Optimization
Daniel Alabi
http://arxiv.org/abs/1906.09613v1

• [cs.LG]The NN-Stacking: Feature weighted linear stacking through neural networks
Victor Coscrato, Marco Henrique de Almeida Inácio, Rafael Izbicki
http://arxiv.org/abs/1906.09735v1

• [cs.LG]To each route its own ETA: A generative modeling framework for ETA prediction
Charul, Pravesh Biyani
http://arxiv.org/abs/1906.09925v1

• [cs.LG]Transfer of Machine Learning Fairness across Domains
Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi
http://arxiv.org/abs/1906.09688v1

• [cs.LG]Universal Bayes consistency in metric spaces
Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
http://arxiv.org/abs/1906.09855v1

• [cs.LG]Unsupervised Ensemble Classification with Dependent Data
Panagiotis A. Traganitis, Georgios B. Giannakis
http://arxiv.org/abs/1906.09356v1

• [cs.LG]Variations on the Chebyshev-Lagrange Activation Function
Yuchen Li, Frank Rudzicz, Jekaterina Novikova
http://arxiv.org/abs/1906.10064v1

• [cs.LO]A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors
Josephine Lamp, Simone Silvetti, Marc Breton, Laura Nenzi, Lu Feng
http://arxiv.org/abs/1906.10073v1

• [cs.MM]Had You Looked Where I’m Looking: Cross-user Similarities in Viewing Behavior for 360$^{\circ}$ Video and Caching Implications
Niklas Carlsson, Derek Eager
http://arxiv.org/abs/1906.09779v1

• [cs.NE]Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks
Yi-Fei PU, Jian Wang
http://arxiv.org/abs/1906.09524v1

• [cs.NE]The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky, Anton Zhevnerchuk
http://arxiv.org/abs/1906.09477v1

• [cs.NI]Integrated Access Backhauled Networks
Oumer Teyeb, Ajmal Muhammad, Gunnar Mildh, Erik Dahlman, Filip Barac, Behrooz Makki
http://arxiv.org/abs/1906.09298v1

• [cs.NI]Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges
Furqan Jameel, Zheng Chang, Jun Huang, Tapani Ristaniemi
http://arxiv.org/abs/1906.09918v1

• [cs.RO]3D Multi-Robot Patrolling with a Two-Level Coordination Strategy
Luigi Freda, Mario Gianni, Fiora Pirri, Abel Gawel, Renaud Dube, Roland Siegwart, Cesar Cadena
http://arxiv.org/abs/1906.09591v1

• [cs.RO]A Distributed Predictive Control Approach for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems
Shahab Heshmati-Alamdari, George C. Karras, Kostas J. Kyriakopoulos
http://arxiv.org/abs/1906.09563v1

• [cs.RO]An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors
Wenchao Ding, Wenliang Gao, Kaixuan Wang, Shaojie Shen
http://arxiv.org/abs/1906.09785v1

• [cs.RO]DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
http://arxiv.org/abs/1906.10099v1

• [cs.RO]Effective Estimation of Contact Force and Torque for Vision-based Tactile Sensor with Helmholtz-Hodge Decomposition
Yazhan Zhang, Zicheng Kan, Yang Yang, Alexander Yu Tse, Michael Yu Wang
http://arxiv.org/abs/1906.09460v1

• [cs.RO]Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors
Èric Pairet, Paola Ardón, Michael Mistry, Yvan Petillot
http://arxiv.org/abs/1906.09941v1

• [cs.RO]Learning Grasp Affordance Reasoning through Semantic Relations
Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan
http://arxiv.org/abs/1906.09836v1

• [cs.RO]Quality Amplification of Error Prone Navigation for Swarms of Micro Aerial Vehicles (with Detailed Simulations)
Michel Barbeau, Joaquin Garcia-Alfaro, Evangelos Kranakis, Fillipe Santos
http://arxiv.org/abs/1906.09505v1

• [cs.RO]Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor
Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen
http://arxiv.org/abs/1906.09788v1

• [cs.RO]Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics
Marcel Menner, Lukas Neuner, Lars Lünenburger, Melanie N. Zeilinger
http://arxiv.org/abs/1906.09847v1

• [cs.RO]Wind Gust Detection using Physical Sensors in Quadcopters
Suwen Gu, Menghao Lin
http://arxiv.org/abs/1906.09371v1

• [cs.SD]Classical Music Prediction and Composition by means of Variational Autoencoders
Daniel Rivero, Enrique Fernandez-Blanco, Alejandro Pazos
http://arxiv.org/abs/1906.09972v1

• [cs.SD]Keyword Spotting for Hearing Assistive Devices Robust to External Speakers
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
http://arxiv.org/abs/1906.09417v1

• [cs.SD]Self Multi-Head Attention for Speaker Recognition
Miquel India, Pooyan Safari, Javier Hernando
http://arxiv.org/abs/1906.09890v1

• [cs.SD]Single-Channel Speech Separation with Auxiliary Speaker Embeddings
Shuo Liu, Gil Keren, Björn Schuller
http://arxiv.org/abs/1906.09997v1

• [cs.SD]Who said that?: Audio-visual speaker diarisation of real-world meetings
Joon Son Chung, Bong-Jin Lee, Icksang Han
http://arxiv.org/abs/1906.10042v1

• [cs.SI]Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures
Mateusz Nurek, Radosław Michalski
http://arxiv.org/abs/1906.09576v1

• [eess.AS]End-to-End ASR for Code-switched Hindi-English Speech
Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram, Rupesh Mehta, Preethi Jyothi
http://arxiv.org/abs/1906.09426v1

• [eess.IV]Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
Ali Moghimi, Ce Yang, James A. Anderson
http://arxiv.org/abs/1906.09666v1

• [eess.IV]Automatic Intracranial Brain Segmentation from Computed Tomography Head Images
Bhavya Ajani
http://arxiv.org/abs/1906.09726v1

• [eess.IV]Boosting the rule-out accuracy of deep disease detection using class weight modifiers
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer Syeda-Mahmood
http://arxiv.org/abs/1906.09354v1

• [eess.IV]Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf
http://arxiv.org/abs/1906.10011v1

• [eess.IV]Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo
http://arxiv.org/abs/1906.10057v1

• [eess.IV]Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations
Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, J. Jeffery Carr, Bennett A. Landman
http://arxiv.org/abs/1906.09549v1

• [eess.IV]Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
http://arxiv.org/abs/1906.10089v1

• [eess.IV]Improving CCTA based lesions’ hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen
http://arxiv.org/abs/1906.09763v1

• [eess.IV]Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan Yuille
http://arxiv.org/abs/1906.09540v1

• [eess.IV]Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants
Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Fan Wu, Zhicheng Jiao, Jian Yang, Xingbo Gao
http://arxiv.org/abs/1906.09684v1

• [eess.IV]Remote Sensor Design for Visual Recognition with Convolutional Neural Networks
Lucas Jaffe, Michael Zelinski, Wesam Sakla
http://arxiv.org/abs/1906.09677v1

• [eess.IV]Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training
Wenhao Jiang, Zhiyu Liu, Kit-Hang Lee, Shihui Chen, Yui-Lun Ng, Qi Dou, Hing-Chiu Chang, Ka-Wai Kwok
http://arxiv.org/abs/1906.09745v1

• [eess.SP]Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems
Xianling Meng, Wei Wang, Yitu Wang, Vincent K. N. Lau, Zhaoyang Zhang
http://arxiv.org/abs/1906.09762v1

• [eess.SP]Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks
Johanna Rock, Mate Toth, Elmar Messner, Paul Meissner, Franz Pernkopf
http://arxiv.org/abs/1906.10044v1

• [eess.SP]Compressive Sensing Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO
Malong Ke, Zhen Gao, Yongpeng Wu, Xiqi Gao, Robert Schober
http://arxiv.org/abs/1906.09867v1

• [eess.SP]Deep urban unaided precise GNSS vehicle positioning
Todd E. Humphreys, Matthew J. Murrian, Lakshay Narula
http://arxiv.org/abs/1906.09539v1

• [eess.SP]Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach
Yan Yang, Juan Yu, Zhifang Yang, Mingxu Xiang, Ren Liu
http://arxiv.org/abs/1906.09951v1

• [eess.SP]Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks
Min Fu, Yong Zhou, Yuanming Shi
http://arxiv.org/abs/1906.09434v1

• [eess.SP]On the Performance of Massive MIMO Systems With Low-Resolution ADCs Over Rician Fading Channels
Tianle Liu, Jun Tong, Qinghua Guo, Jiangtao Xi, Yanguang Yu, Zhitao Xiao
http://arxiv.org/abs/1906.09841v1

• [eess.SP]Reinforcement Learning-Based Trajectory Design for the Drone Base Stations
Behzad Khamidehi, Elvino S. Sousa
http://arxiv.org/abs/1906.09550v1

• [eess.SP]UAV-Involved Wireless Physical-Layer Secure Communications: Overview and Research Directions
Hui-Ming Wang, Xu Zhang, Jia-Cheng Jiang
http://arxiv.org/abs/1906.09701v1

• [eess.SP]Wireless Communications Through Reconfigurable Intelligent Surfaces
Ertugrul Basar, Marco Di Renzo, Julien de Rosny, Merouane Debbah, Mohamed-Slim Alouini, Rui Zhang
http://arxiv.org/abs/1906.09490v1

• [eess.SY]On DICE-free Smart Cities, Particulate Matter, and Feedback-Enabled Access Control
Panagiota Katsikouli, Pietro Ferraro, David Timoney, Robert Shorten
http://arxiv.org/abs/1906.10050v1

• [math.AP]Mumford-Shah functionals on graphs and their asymptotics
Marco Caroccia, Antonin Chambolle, Dejan Slepčev
http://arxiv.org/abs/1906.09521v1

• [math.CO]A note on the linkage construction for constant dimension codes
Sascha Kurz
http://arxiv.org/abs/1906.09780v1

• [math.OC]A Fine-Grained Variant of the Hierarchy of Lasserre
Wann-Jiun Ma, Jakub Marecek, Martin Mevissen
http://arxiv.org/abs/1906.09586v1

• [math.OC]Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems
Jingyi Zhu, Long Wang, James C. Spall
http://arxiv.org/abs/1906.09533v1

• [math.OC]Re-Weighted $\ell_1$ Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights
Matías Valdés, Marcelo Fiori
http://arxiv.org/abs/1906.09329v1

• [math.PR]Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory
Jeremiah Birrell, Markos Katsoulakis, Luc Rey-Bellet
http://arxiv.org/abs/1906.09282v1

• [math.ST]Algebraic Statistics in Practice: Applications to Networks
Marta Casanellas, Sonja Petrović, Caroline Uhler
http://arxiv.org/abs/1906.09537v1

• [math.ST]Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model
Zeng Li, Fang Han, Jianfeng Yao
http://arxiv.org/abs/1906.09639v1

• [math.ST]Bivariate FCLT for the Sample Quantile and Measures of Dispersion for Augmented GARCH($p$,$q$) processes
Marcel Bräutigam, Marie Kratz
http://arxiv.org/abs/1906.09332v1

• [math.ST]Local Exchangeability
Trevor Campbell, Saifuddin Syed, Chiao-Yu Yang, Michael I. Jordan, Tamara Broderick
http://arxiv.org/abs/1906.09507v1

• [math.ST]Parametric estimation for convolutionally observed diffusion processes
Shogo H Nakakita, Masayuki Uchida
http://arxiv.org/abs/1906.10056v1

• [math.ST]Relative variation indexes for multivariate continuous distributions on $[0,\infty)^k$ and extensions
Célestin C. Kokonendji, Aboubacar Y. Touré, Amadou Sawadogo
http://arxiv.org/abs/1906.09485v1

• [math.ST]Sensitivity Analysis and Generalized Chaos Expansions. Lower Bounds for Sobol indices
O Roustant, F. Gamboa, B Iooss
http://arxiv.org/abs/1906.09883v1

• [math.ST]Sequential estimation of quantiles with applications to A/B-testing and best-arm identification
Steven R. Howard, Aaditya Ramdas
http://arxiv.org/abs/1906.09712v1

• [math.ST]Structure learning in graphical models by covariance queries
Gábor Lugosi, Jakub Truszkowski, Vasiliki Velona, Piotr Zwiernik
http://arxiv.org/abs/1906.09501v1

• [math.ST]The Measurement of Statistical Evidence as the Basis for Statistical Reasoning
Michael Evans
http://arxiv.org/abs/1906.09484v1

• [physics.chem-ph]Unifying machine learning and quantum chemistry — a deep neural network for molecular wavefunctions
K. T. Schütt, M. Gastegger, A. Tkatchenko, K. -R. Müller, R. J. Maurer
http://arxiv.org/abs/1906.10033v1

• [physics.data-an]Uncertainty in the Predictive Capability of Detectors that Process Waveforms from Explosions
Joshua D Carmichael, Robert J Nemzek
http://arxiv.org/abs/1906.09350v1

• [q-bio.NC]A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
Pablo Lanillos, Daniel Oliva, Anja Philippsen, Yuichi Yamashita, Yukie Nagai, Gordon Cheng
http://arxiv.org/abs/1906.10015v1

• [q-bio.NC]Neural networks with motivation
Sergey A. Shuvaev, Ngoc B. Tran, Marcus Stephenson-Jones, Bo Li, Alexei A. Koulakov
http://arxiv.org/abs/1906.09528v1

• [q-bio.NC]Visualizing Representational Dynamics with Multidimensional Scaling Alignment
Baihan Lin, Marieke Mur, Tim Kietzmann, Nikolaus Kriegeskorte
http://arxiv.org/abs/1906.09264v1

• [stat.AP]Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements
Chen Gu, Ulrich Mok, Youssef M. Marzouk, Germán A Prieto Gomez, Farrokh Sheibani, J. Brian Evans, Bradford H. Hager
http://arxiv.org/abs/1906.10098v1

• [stat.AP]Design and analysis considerations for a sequentially randomized HIV prevention trial
David Benkeser, Keith Horvath, Cathy Reback, Joshua Rusow, Michael Hudgens
http://arxiv.org/abs/1906.09304v1

• [stat.AP]Quantitative evaluation of regulatory policies for reducing deforestation using the bent-cable regression model
Megan C Evans, Grace Chiu, Philip Gibbons, Andrew K Macintosh
http://arxiv.org/abs/1906.09365v1

• [stat.AP]Scalable Online Survey Framework: from Sampling to Analysis
Weitao Duan, Qian Wang, Rogier Verhulst, Ya Xu
http://arxiv.org/abs/1906.10082v1

• [stat.AP]The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
Xuan Yin, Liangjie Hong
http://arxiv.org/abs/1906.09757v1

• [stat.CO]Copula Density Estimation by Finite Mixture of Parametric Copula Densities
Leming Qu, Yang Lu
http://arxiv.org/abs/1906.09388v1

• [stat.ME]A note on sum and difference of correlated chi-squared variables
Alberto Ferrari
http://arxiv.org/abs/1906.09982v1

• [stat.ME]Averaging causal estimators in high dimensions
Joseph Antonelli, Matthew Cefalu
http://arxiv.org/abs/1906.09303v1

• [stat.ME]Density Estimation on a Network
Yang Liu, David Ruppert
http://arxiv.org/abs/1906.09473v1

• [stat.ME]Inference for multiple heterogeneous networks with a common invariant subspace
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
http://arxiv.org/abs/1906.10026v1

• [stat.ME]Robust convex clustering: How does fusion penalty enhance robustness?
Chenyu Liu, Qiang Sun, Kean Ming Tan
http://arxiv.org/abs/1906.09581v1

• [stat.ML]A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators
Xun Zhang, William B. Haskell, Zhisheng Ye
http://arxiv.org/abs/1906.09437v1

• [stat.ML]A neurally plausible model learns successor representations in partially observable environments
Eszter Vertes, Maneesh Sahani
http://arxiv.org/abs/1906.09480v1

• [stat.ML]A support vector regression-based multi-fidelity surrogate model
Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song
http://arxiv.org/abs/1906.09439v1

• [stat.ML]Best Split Nodes for Regression Trees
Jason M. Klusowski
http://arxiv.org/abs/1906.10086v1

• [stat.ML]Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon
http://arxiv.org/abs/1906.09531v1

• [stat.ML]Compositionally-Warped Gaussian Processes
Felipe Tobar, Gonzalo Rios
http://arxiv.org/abs/1906.09665v1

• [stat.ML]Density-based Clustering with Best-scored Random Forest
Hanyuan Hang, Yuchao Cai, Hanfang Yang
http://arxiv.org/abs/1906.10094v1

• [stat.ML]Fisher and Kernel Fisher Discriminant Analysis: Tutorial
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
http://arxiv.org/abs/1906.09436v1

• [stat.ML]Model Bridging: To Interpretable Simulation Model From Neural Network
Keiichi Kisamori, Keisuke Yamazaki
http://arxiv.org/abs/1906.09391v1

• [stat.ML]Multi-task Learning for Aggregated Data using Gaussian Processes
Fariba Yousefi, Michael Thomas Smith, Mauricio A Alvarez
http://arxiv.org/abs/1906.09412v1

• [stat.ML]Parzen Filters for Spectral Decomposition of Signals
Dino Oglic, Zoran Cvetkovic, Peter Sollich
http://arxiv.org/abs/1906.09526v1

• [stat.ML]Recurrent Adversarial Service Times
César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schuecker, Bogdan Georgiev, Christian Bauckhage
http://arxiv.org/abs/1906.09808v1

• [stat.ML]Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
Creighton Heaukulani, Mark van der Wilk
http://arxiv.org/abs/1906.09360v1

• [stat.ML]The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations
Wenjian Liu, Ning Ning
http://arxiv.org/abs/1906.09479v1