cs.AI - 人工智能
cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 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.MA - 多代理系统 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.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.GN - 一般拓扑学 math.OC - 优化与控制 math.ST - 统计理论 q-bio.BM - 生物分子 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
• [cs.AI]Augmented Data Science: Towards Industrialization and Democratization of Data Science
• [cs.AI]Cascade Size Distributions and Why They Matter
• [cs.AI]Force-based Algorithm for Motion Planning of Large Agent Teams
• [cs.AI]Interactive Fiction Games: A Colossal Adventure
• [cs.AI]Learning First-Order Symbolic Planning Representations from Plain Graphs
• [cs.AI]MOSS: End-to-End Dialog System Framework with Modular Supervision
• [cs.CL]A Robust Hybrid Approach for Textual Document Classification
• [cs.CL]ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
• [cs.CL]Anonymising Queries by Semantic Decomposition
• [cs.CL]CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction
• [cs.CL]Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning
• [cs.CL]CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
• [cs.CL]Core Semantic First: A Top-down Approach for AMR Parsing
• [cs.CL]Fine-Grained Entity Typing for Domain Independent Entity Linking
• [cs.CL]Frustratingly Easy Natural Question Answering
• [cs.CL]Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
• [cs.CL]Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
• [cs.CL]Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
• [cs.CL]Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
• [cs.CL]Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
• [cs.CL]Speculative Beam Search for Simultaneous Translation
• [cs.CL]Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
• [cs.CL]UER: An Open-Source Toolkit for Pre-training Models
• [cs.CL]Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
• [cs.CL]Visualizing Trends of Key Roles in News Articles
• [cs.CL]VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
• [cs.CL]What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
• [cs.CV]3D Ken Burns Effect from a Single Image
• [cs.CV]A Camera That CNNs: Towards Embedded Neural Networks onPixel Processor Arrays
• [cs.CV]Accelerating Training using Tensor Decomposition
• [cs.CV]Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
• [cs.CV]An Iterative Approach for Multiple Instance Learning Problems
• [cs.CV]Are Sampling Heuristics Necessary in Object Detectors?
• [cs.CV]Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices
• [cs.CV]CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
• [cs.CV]CvxNets: Learnable Convex Decomposition
• [cs.CV]DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
• [cs.CV]Flow-Motion and Depth Network for Monocular Stereo and Beyond
• [cs.CV]Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
• [cs.CV]I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making
• [cs.CV]Multimodal Attention Branch Network for Perspective-Free Sentence Generation
• [cs.CV]On the Effect of Observed Subject Biases in Apparent Personality Analysis from Audio-visual Signals
• [cs.CV]PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression
• [cs.CV]Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
• [cs.CV]Specifying Object Attributes and Relations in Interactive Scene Generation
• [cs.CV]VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement
• [cs.CY]Algorithmic and Economic Perspectives on Fairness
• [cs.DC]Cache Where you Want! Reconciling Predictability and Coherent Caching
• [cs.DC]Differential Approximation and Sprinting for Multi-Priority Big Data Engines
• [cs.DC]Efficient Interleaved Batch Matrix Solvers for CUDA
• [cs.DC]Flow: Separating Consensus and Compute
• [cs.DC]Flow: Separating Consensus and Compute — Execution Verification
• [cs.DC]Fully Anonymous Shared Memory Algorithms
• [cs.DC]On the similarities and differences between the Cloud, Fog and the Edge
• [cs.DC]Tasks in Modular Proofs of Concurrent Algorithms
• [cs.DC]The Nubo Virtual Services Marketplace
• [cs.DS]Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds
• [cs.DS]Optimal Routing Schedules for Robots Operating in Aisle-Structures
• [cs.HC]InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd
• [cs.IR]Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
• [cs.IT]Further Applications of Wireless Communication Systems over $α-η-κ-μ$ Fading Channels
• [cs.IT]Hybrid Nano Communications
• [cs.IT]Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications
• [cs.IT]Repeat-Free Codes
• [cs.LG]A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
• [cs.LG]A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
• [cs.LG]An Empirical Investigation of Randomized Defenses against Adversarial Attacks
• [cs.LG]An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing
• [cs.LG]Coarse-scale PDEs from fine-scale observations via machine learning
• [cs.LG]Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation
• [cs.LG]Deep Prediction of Investor Interest: a Supervised Clustering Approach
• [cs.LG]Differentially Private Meta-Learning
• [cs.LG]Domain Aggregation Networks for Multi-Source Domain Adaptation
• [cs.LG]Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies
• [cs.LG]Feedback Learning for Improving the Robustness of Neural Networks
• [cs.LG]GRESNET: Graph Residuals for Reviving Deep Graph Neural Nets from Suspended Animation
• [cs.LG]Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently
• [cs.LG]Geometric Graph Convolutional Neural Networks
• [cs.LG]Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
• [cs.LG]Inspecting adversarial examples using the Fisher information
• [cs.LG]Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
• [cs.LG]Modular Meta-Learning with Shrinkage
• [cs.LG]On the Hardness of Robust Classification
• [cs.LG]ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction
• [cs.LG]The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication
• [cs.LG]The Randomized Midpoint Method for Log-Concave Sampling
• [cs.LG]Time-weighted Attentional Session-Aware Recommender System
• [cs.LO]Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
• [cs.MA]Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication
• [cs.NE]Effective transfer learning for hyperspectral image classification with deep convolutional neural networks
• [cs.NE]Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity
• [cs.NI]Challenges in the Decentralised Web: The Mastodon Case
• [cs.NI]SQLR: Short Term Memory Q-Learning for Elastic Provisioning
• [cs.RO]A New Approach to 3D ICP Covariance Estimation for Mobile Robotics
• [cs.RO]A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors
• [cs.RO]A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction
• [cs.RO]Cooperation-Aware Lane Change Control in Dense Traffic
• [cs.RO]Detecting Robotic Affordances on Novel Objects with Regional Attention and Attributes
• [cs.RO]Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images
• [cs.RO]Globally Optimal Grasp Planning using a Two-Stage Branch-And-Bound Algorithm
• [cs.RO]Learning to Live Life on the Edge: Online Learning for Data-Efficient Tactile Contour Following
• [cs.RO]Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces
• [cs.RO]RRT2.0 for Fast and Optimal Kinodynamic Sampling-Based Motion Planning
• [cs.RO]Robots that Take Advantage of Human Trust
• [cs.RO]SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
• [cs.RO]Tactile-Based Insertion for Dense Box-Packing
• [cs.RO]The Soft Landing Problem: Minimizing Energy Loss by a Legged Robot Impacting Yielding Terrain
• [cs.RO]Unsupervised Learning and Exploration of Reachable Outcome Space
• [cs.SI]Minimizing Margin of Victory for Fair Political and Educational Districting
• [cs.SI]Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms
• [econ.EM]Estimation and Applications of Quantile Regression for Binary Longitudinal Data
• [econ.EM]Fast Algorithms for the Quantile Regression Process
• [eess.AS]Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
• [eess.AS]TF-Attention-Net: An End To End Neural Network For Singing Voice Separation
• [eess.IV]A deep learning system for differential diagnosis of skin diseases
• [eess.IV]An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image
• [eess.IV]Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
• [eess.IV]Edge-Informed Single Image Super-Resolution
• [eess.IV]Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring
• [eess.IV]NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
• [eess.IV]PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI
• [eess.IV]Rethinking the CSC Model for Natural Images
• [eess.IV]Tomographic reconstruction to detect evolving structures
• [eess.SP]HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
• [eess.SP]Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor
• [eess.SP]Resource Allocation in Dynamic DF Relay for SWIPT Network with Circuit Power Consumption
• [eess.SP]Unitary Shift Operators on a Graph
• [eess.SY]Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization
• [eess.SY]Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
• [eess.SY]Ensemble Learning based Convexification of Power Flow with Application in OPF
• [eess.SY]Generalized Policy Iteration for Optimal Control in Continuous Time
• [eess.SY]Learning-based Model Predictive Control for Smart Building Thermal Management
• [math.GN]Tree congruence: quantifying similarity between dendrogram topologies
• [math.OC]Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony
• [math.ST]A refined determinantal inequality for correlation matrices
• [math.ST]A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology
• [math.ST]A taxonomy of estimator consistency on discrete estimation problems
• [math.ST]Optimal choice of $k$ for $k$-nearest neighbor regression
• [math.ST]Sharp Large Deviations for empirical correlation coefficients
• [math.ST]The Global Markov Property for a Mixture of DAGs
• [q-bio.BM]On an enhancement of RNA probing data using Information Theory
• [q-fin.RM]Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?
• [quant-ph]A chain rule for the quantum relative entropy
• [stat.AP]A Tutorial for Joint Modeling of Longitudinal and Time-to-Event Data in R
• [stat.AP]Multi-rater delta: extending the delta nominal measure of agreement between two raters to many raters
• [stat.AP]Present criteria for prophylactic ICD implantation: Insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project
• [stat.ME]A comparison of some conformal quantile regression methods
• [stat.ME]Bayesian Model Calibration for Extrapolative Prediction via Gibbs Posteriors
• [stat.ME]Fast expectation-maximization algorithms for spatial generalized linear mixed models
• [stat.ME]Insights and algorithms for the multivariate square-root lasso
• [stat.ME]Synthetic estimation for the complier average causal effect
• [stat.ML]Communication-Efficient Distributed Optimization in Networks with Gradient Tracking
• [stat.ML]Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data
• [stat.ML]De-biased Machine Learning for Compliers
• [stat.ML]Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes
• [stat.ML]Explicit-Duration Markov Switching Models
• [stat.ML]Generating Data using Monte Carlo Dropout
• [stat.ML]Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models
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• [cs.AI]Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony
http://arxiv.org/abs/1909.05460v1
• [cs.AI]Augmented Data Science: Towards Industrialization and Democratization of Data Science
Huseyin Uzunalioglu, Jin Cao, Chitra Phadke, Gerald Lehmann, Ahmet Akyamac, Ran He, Jeongran Lee, Maria Able
http://arxiv.org/abs/1909.05682v1
• [cs.AI]Cascade Size Distributions and Why They Matter
Rebekka Burkholz, John Quackenbush
http://arxiv.org/abs/1909.05416v1
• [cs.AI]Force-based Algorithm for Motion Planning of Large Agent Teams
Samaneh Hosseini Semnani, Anton de Ruiter, Hugh Liu
http://arxiv.org/abs/1909.05415v1
• [cs.AI]Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
http://arxiv.org/abs/1909.05398v1
• [cs.AI]Learning First-Order Symbolic Planning Representations from Plain Graphs
Blai Bonet, Hector Geffner
http://arxiv.org/abs/1909.05546v1
• [cs.AI]MOSS: End-to-End Dialog System Framework with Modular Supervision
Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu
http://arxiv.org/abs/1909.05528v1
• [cs.CL]A Robust Hybrid Approach for Textual Document Classification
Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
http://arxiv.org/abs/1909.05478v1
• [cs.CL]ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
http://arxiv.org/abs/1909.05608v1
• [cs.CL]Anonymising Queries by Semantic Decomposition
Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi
http://arxiv.org/abs/1909.05819v1
• [cs.CL]CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction
Jakub Náplava, Milan Straka
http://arxiv.org/abs/1909.05553v1
• [cs.CL]Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning
Christoph Stanik, Marlo Haering, Walid Maalej
http://arxiv.org/abs/1909.05504v1
• [cs.CL]CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Tao Yu, Rui Zhang, He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S Lasecki, Dragomir Radev
http://arxiv.org/abs/1909.05378v1
• [cs.CL]Core Semantic First: A Top-down Approach for AMR Parsing
Deng Cai, Wai Lam
http://arxiv.org/abs/1909.04303v2
• [cs.CL]Fine-Grained Entity Typing for Domain Independent Entity Linking
Yasumasa Onoe, Greg Durrett
http://arxiv.org/abs/1909.05780v1
• [cs.CL]Frustratingly Easy Natural Question Answering
Lin Pan, Rishav Chakravarti, Anthony Ferritto, Michael Glass, Alfio Gliozzo, Salim Roukos, Radu Florian, Avirup Sil
http://arxiv.org/abs/1909.05286v1
• [cs.CL]Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard
http://arxiv.org/abs/1909.05708v1
• [cs.CL]Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang
http://arxiv.org/abs/1909.05438v1
• [cs.CL]Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
http://arxiv.org/abs/1909.05840v1
• [cs.CL]Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Yichen Jiang, Mohit Bansal
http://arxiv.org/abs/1909.05803v1
• [cs.CL]Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaiane
http://arxiv.org/abs/1909.05246v1
• [cs.CL]Speculative Beam Search for Simultaneous Translation
Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang
http://arxiv.org/abs/1909.05421v1
• [cs.CL]Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan
http://arxiv.org/abs/1909.05855v1
• [cs.CL]UER: An Open-Source Toolkit for Pre-training Models
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du
http://arxiv.org/abs/1909.05658v1
• [cs.CL]Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu
http://arxiv.org/abs/1909.05448v1
• [cs.CL]Visualizing Trends of Key Roles in News Articles
Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang
http://arxiv.org/abs/1909.05449v1
• [cs.CL]VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu
http://arxiv.org/abs/1909.05424v1
• [cs.CL]What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
http://arxiv.org/abs/1909.05316v1
• [cs.CV]3D Ken Burns Effect from a Single Image
Simon Niklaus, Long Mai, Jimei Yang, Feng Liu
http://arxiv.org/abs/1909.05483v1
• [cs.CV]A Camera That CNNs: Towards Embedded Neural Networks onPixel Processor Arrays
Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas1
http://arxiv.org/abs/1909.05647v1
• [cs.CV]Accelerating Training using Tensor Decomposition
Mostafa Elhoushi, Ye Henry Tian, Zihao Chen, Farhan Shafiq, Joey Yiwei Li
http://arxiv.org/abs/1909.05675v1
• [cs.CV]Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
Yumeng Zhang, Li Chen, Yufeng Liu, Junhai Yong, Wen Zheng
http://arxiv.org/abs/1909.05666v1
• [cs.CV]An Iterative Approach for Multiple Instance Learning Problems
Kaili Wang, Jose Oramas, Tinne Tuytelaars
http://arxiv.org/abs/1909.05690v1
• [cs.CV]Are Sampling Heuristics Necessary in Object Detectors?
Joya Chen, Dong Liu, Tong Xu, Enhong Chen
http://arxiv.org/abs/1909.04868v2
• [cs.CV]Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices
Tiancheng Xia, Richard Jiang, YongQing Fu, Nanlin Jin
http://arxiv.org/abs/1909.05393v1
• [cs.CV]CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao
http://arxiv.org/abs/1909.05506v1
• [cs.CV]CvxNets: Learnable Convex Decomposition
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi
http://arxiv.org/abs/1909.05736v1
• [cs.CV]DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun
http://arxiv.org/abs/1909.05845v1
• [cs.CV]Flow-Motion and Depth Network for Monocular Stereo and Beyond
Kaixuan Wang, Shaojie Shen
http://arxiv.org/abs/1909.05452v1
• [cs.CV]Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong
http://arxiv.org/abs/1909.05587v1
• [cs.CV]I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making
Seyed Yahya Nikouei, Yu Chen, Alexander Aved, Erik Blasch, Timothy R. Faughnan
http://arxiv.org/abs/1909.05776v1
• [cs.CV]Multimodal Attention Branch Network for Perspective-Free Sentence Generation
Aly Magassouba, Komei Sugiura, Hisashi Kawai
http://arxiv.org/abs/1909.05664v1
• [cs.CV]On the Effect of Observed Subject Biases in Apparent Personality Analysis from Audio-visual Signals
Ricardo Darío Pérez Principi, Cristina Palmero, Julio C. S. Jacques Junior, Sergio Escalera
http://arxiv.org/abs/1909.05568v1
• [cs.CV]PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression
Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer
http://arxiv.org/abs/1909.05693v1
• [cs.CV]Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
Carlos Caetano, François Brémond, William Robson Schwartz
http://arxiv.org/abs/1909.05704v1
• [cs.CV]Specifying Object Attributes and Relations in Interactive Scene Generation
Oron Ashual, Lior Wolf
http://arxiv.org/abs/1909.05379v1
• [cs.CV]VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement
Dominik Bauer, Timothy Patten, Markus Vincze
http://arxiv.org/abs/1909.05730v1
• [cs.CY]Algorithmic and Economic Perspectives on Fairness
David C. Parkes, Rakesh V. Vohra, other workshop participants
http://arxiv.org/abs/1909.05282v1
• [cs.DC]Cache Where you Want! Reconciling Predictability and Coherent Caching
Ayoosh Bansal, Jayati Singh, Yifan Hao, Jen-Yang Wen, Renato Mancuso, Marco Caccamo
http://arxiv.org/abs/1909.05349v1
• [cs.DC]Differential Approximation and Sprinting for Multi-Priority Big Data Engines
Robert Birke, Isabelly Rocha, Juan Perez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen
http://arxiv.org/abs/1909.05531v1
• [cs.DC]Efficient Interleaved Batch Matrix Solvers for CUDA
Andrew Gloster, Enda Carroll, Miguel Bustamante, Lennon O’Naraigh
http://arxiv.org/abs/1909.04539v2
• [cs.DC]Flow: Separating Consensus and Compute
Alexander Hentschel, Dieter Shirley, Layne Lafrance
http://arxiv.org/abs/1909.05821v1
• [cs.DC]Flow: Separating Consensus and Compute — Execution Verification
Alexander Hentschel, Dieter Shirley, Layne Lafrance, Maor Zamski
http://arxiv.org/abs/1909.05832v1
• [cs.DC]Fully Anonymous Shared Memory Algorithms
Michel Raynal, Gadi Taubenfeld
http://arxiv.org/abs/1909.05576v1
• [cs.DC]On the similarities and differences between the Cloud, Fog and the Edge
Sašo Stanovnik, Matija Cankar
http://arxiv.org/abs/1909.05480v1
• [cs.DC]Tasks in Modular Proofs of Concurrent Algorithms
Armando Castañeda, Aurélie Hurault, Philippe Quéinnec, Matthieu Roy
http://arxiv.org/abs/1909.05537v1
• [cs.DC]The Nubo Virtual Services Marketplace
James Kempf, Sambit Nayak, Remi Robert, Jim Feng, Kunal Rajan Deshmukh, Anshu Shukla, Aleksandra Obeso Duque, Nanjangud Narendra, Johan Sjöberg
http://arxiv.org/abs/1909.04934v2
• [cs.DS]Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds
Xiaocheng Li, Yinyu Ye
http://arxiv.org/abs/1909.05499v1
• [cs.DS]Optimal Routing Schedules for Robots Operating in Aisle-Structures
Francesco Betti Sorbelli, Stefano Carpin, Federico Corò, Alfredo Navarra, Cristina M. Pinotti
http://arxiv.org/abs/1909.05711v1
• [cs.HC]InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd
Ting-Hao ‘Kenneth’ Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham
http://arxiv.org/abs/1909.05725v1
• [cs.IR]Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
Wang-Cheng Kang, Julian McAuley
http://arxiv.org/abs/1909.05475v1
• [cs.IT]Further Applications of Wireless Communication Systems over $α-η-κ-μ$ Fading Channels
Hussien Al-Hmood, H. S. Al-Raweshidy
http://arxiv.org/abs/1909.05473v1
• [cs.IT]Hybrid Nano Communications
S. M. Riazul Islam, M. Jalil Piran, Anish P. Shreesta, Farman Ali, Asif Iqbal, Kyung-Sup Kwak
http://arxiv.org/abs/1909.05743v1
• [cs.IT]Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications
Tongxin Li, Lucien Werner, Steven H. Low
http://arxiv.org/abs/1909.05487v1
• [cs.IT]Repeat-Free Codes
Ohad Elishco, Ryan Gabrys, Eitan Yaakobi, Muriel Médard
http://arxiv.org/abs/1909.05694v1
• [cs.LG]A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
Jiancheng Lyu, Spencer Sheen
http://arxiv.org/abs/1909.05623v1
• [cs.LG]A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
Anthony Bagnall, Markus Löning, Matthew Middlehurst, George Oastler
http://arxiv.org/abs/1909.05738v1
• [cs.LG]An Empirical Investigation of Randomized Defenses against Adversarial Attacks
Yannik Potdevin, Dirk Nowotka, Vijay Ganesh
http://arxiv.org/abs/1909.05580v1
• [cs.LG]An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing
Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang
http://arxiv.org/abs/1909.05388v1
• [cs.LG]Coarse-scale PDEs from fine-scale observations via machine learning
Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis
http://arxiv.org/abs/1909.05707v1
• [cs.LG]Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation
Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
http://arxiv.org/abs/1909.05288v1
• [cs.LG]Deep Prediction of Investor Interest: a Supervised Clustering Approach
Baptiste Barreau, Laurent Carlier, Damien Challet
http://arxiv.org/abs/1909.05289v1
• [cs.LG]Differentially Private Meta-Learning
Jeffrey Li, Mikhail Khodak, Sebastian Caldas, Ameet Talwalkar
http://arxiv.org/abs/1909.05830v1
• [cs.LG]Domain Aggregation Networks for Multi-Source Domain Adaptation
Junfeng Wen, Russell Greiner, Dale Schuurmans
http://arxiv.org/abs/1909.05352v1
• [cs.LG]Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies
Mohammad Pirhooshyaran, Lawrence V. Snyder, Katya Scheinberg
http://arxiv.org/abs/1909.05447v1
• [cs.LG]Feedback Learning for Improving the Robustness of Neural Networks
Chang Song, Zuoguan Wang, Hai Li
http://arxiv.org/abs/1909.05443v1
• [cs.LG]GRESNET: Graph Residuals for Reviving Deep Graph Neural Nets from Suspended Animation
Jiawei Zhang
http://arxiv.org/abs/1909.05729v1
• [cs.LG]Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently
Vishnu Suresh Lokhande, Sathya Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh
http://arxiv.org/abs/1909.05479v1
• [cs.LG]Geometric Graph Convolutional Neural Networks
Przemysław Spurek, Tomasz Danel, Jacek Tabor, Marek Śmieja, Łukasz Struski, Agnieszka Słowik, Łukasz Maziarka
http://arxiv.org/abs/1909.05310v1
• [cs.LG]Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair, Chelsea Finn
http://arxiv.org/abs/1909.05829v1
• [cs.LG]Inspecting adversarial examples using the Fisher information
Jörg Martin, Clemens Elster
http://arxiv.org/abs/1909.05527v1
• [cs.LG]Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
Dexter R. R. Scobee, S. Shankar Sastry
http://arxiv.org/abs/1909.05477v1
• [cs.LG]Modular Meta-Learning with Shrinkage
Yutian Chen, Abram L. Friesen, Feryal Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas
http://arxiv.org/abs/1909.05557v1
• [cs.LG]On the Hardness of Robust Classification
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell
http://arxiv.org/abs/1909.05822v1
• [cs.LG]ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction
Xueyuan She, Yun Long, Daehyun Kim, Saibal Mukhopadhyay
http://arxiv.org/abs/1909.05314v1
• [cs.LG]The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication
Sebastian U. Stich, Sai Praneeth Karimireddy
http://arxiv.org/abs/1909.05350v1
• [cs.LG]The Randomized Midpoint Method for Log-Concave Sampling
Ruoqi Shen, Yin Tat Lee
http://arxiv.org/abs/1909.05503v1
• [cs.LG]Time-weighted Attentional Session-Aware Recommender System
Mei Wang, Weizhi Li, Yan Yan
http://arxiv.org/abs/1909.05414v1
• [cs.LO]Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee
http://arxiv.org/abs/1909.05304v1
• [cs.MA]Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication
Bowen Jing, William Yin
http://arxiv.org/abs/1909.05815v1
• [cs.NE]Effective transfer learning for hyperspectral image classification with deep convolutional neural networks
Wojciech Masarczyk, Przemysław Głomb, Bartosz Grabowski, Mateusz Ostaszewski
http://arxiv.org/abs/1909.05507v1
• [cs.NE]Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity
Xueyuan She, Yun Long, Saibal Mukhopadhyay
http://arxiv.org/abs/1909.05401v1
• [cs.NI]Challenges in the Decentralised Web: The Mastodon Case
Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry, Gareth Tyson
http://arxiv.org/abs/1909.05801v1
• [cs.NI]SQLR: Short Term Memory Q-Learning for Elastic Provisioning
Constantine Ayimba, Paolo Casari, Vincenzo Mancuso
http://arxiv.org/abs/1909.05772v1
• [cs.RO]A New Approach to 3D ICP Covariance Estimation for Mobile Robotics
Martin Brossard, Silvère Bonnabel, Axel Barrau
http://arxiv.org/abs/1909.05722v1
• [cs.RO]A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors
Pietro Pierpaoli, Thinh Doan, Justing Romberg, Magnus Egerstedt
http://arxiv.org/abs/1909.05731v1
• [cs.RO]A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction
Alejandro M. Castro, Ante Qu, Naveen Kuppuswamy, Alex Alspach, Michael Sherman
http://arxiv.org/abs/1909.05700v1
• [cs.RO]Cooperation-Aware Lane Change Control in Dense Traffic
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott Moura
http://arxiv.org/abs/1909.05665v1
• [cs.RO]Detecting Robotic Affordances on Novel Objects with Regional Attention and Attributes
Fu-Jen Chu, Ruinian Xu, Patricio A. Vela
http://arxiv.org/abs/1909.05770v1
• [cs.RO]Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images
Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt
http://arxiv.org/abs/1909.05659v1
• [cs.RO]Globally Optimal Grasp Planning using a Two-Stage Branch-And-Bound Algorithm
Min Liu, Zherong Pan, Kai Xu, Dinesh Manocha
http://arxiv.org/abs/1909.05430v1
• [cs.RO]Learning to Live Life on the Edge: Online Learning for Data-Efficient Tactile Contour Following
Elizabeth A. Stone, Nathan F. Lepora, David A. W. Barton
http://arxiv.org/abs/1909.05808v1
• [cs.RO]Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces
T. Pardi, V. Ortenzi, C. Fairbairn, T. Pipe, A. M. Ghalamzan E., R. Stolkin
http://arxiv.org/abs/1909.05523v1
• [cs.RO]RRT2.0 for Fast and Optimal Kinodynamic Sampling-Based Motion Planning
Michal Kleinbort, Kiril Solovey, Riccardo Bonalli, Kostas E. Bekris, Dan Halperin
http://arxiv.org/abs/1909.05569v1
• [cs.RO]Robots that Take Advantage of Human Trust
Dylan P. Losey, Dorsa Sadigh
http://arxiv.org/abs/1909.05777v1
• [cs.RO]SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Yang Li, Florian Richter, Jingpei Lu, Emily K. Funk, Ryan K. Orosco, Jianke Zhu, Michael C. Yip
http://arxiv.org/abs/1909.05405v1
• [cs.RO]Tactile-Based Insertion for Dense Box-Packing
Siyuan Dong, Alberto Rodriguez
http://arxiv.org/abs/1909.05426v1
• [cs.RO]The Soft Landing Problem: Minimizing Energy Loss by a Legged Robot Impacting Yielding Terrain
Daniel J. Lynch, Kevin M. Lynch, Paul B. Umbanhowar
http://arxiv.org/abs/1909.05790v1
• [cs.RO]Unsupervised Learning and Exploration of Reachable Outcome Space
Paolo Giuseppe, Laflaquière Alban, Coninx Alexandre, Doncieux Stephane
http://arxiv.org/abs/1909.05508v1
• [cs.SI]Minimizing Margin of Victory for Fair Political and Educational Districting
Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi
http://arxiv.org/abs/1909.05583v1
• [cs.SI]Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms
Maria Glenski, Ellyn Ayton, Josh Mendoza, Svitlana Volkova
http://arxiv.org/abs/1909.05838v1
• [econ.EM]Estimation and Applications of Quantile Regression for Binary Longitudinal Data
Mohammad Arshad Rahman, Angela Vossmeyer
http://arxiv.org/abs/1909.05560v1
• [econ.EM]Fast Algorithms for the Quantile Regression Process
Victor Chernozhukov, Iván Fernández-Val, Blaise Melly
http://arxiv.org/abs/1909.05782v1
• [eess.AS]Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee
http://arxiv.org/abs/1909.05330v1
• [eess.AS]TF-Attention-Net: An End To End Neural Network For Singing Voice Separation
Tingle Li, Jiawei Chen, Haowen Hou, Ming Li
http://arxiv.org/abs/1909.05746v1
• [eess.IV]A deep learning system for differential diagnosis of skin diseases
Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Greg S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz
http://arxiv.org/abs/1909.05382v1
• [eess.IV]An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image
Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo
http://arxiv.org/abs/1909.05488v1
• [eess.IV]Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
http://arxiv.org/abs/1909.05321v1
• [eess.IV]Edge-Informed Single Image Super-Resolution
Kamyar Nazeri, Harrish Thasarathan, Mehran Ebrahimi
http://arxiv.org/abs/1909.05305v1
• [eess.IV]Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring
Norbert Kapinski, Jedrzej M. Nowosielski, Maciej E. Marchwiany, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski
http://arxiv.org/abs/1909.05687v1
• [eess.IV]NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory Slabaugh
http://arxiv.org/abs/1909.05249v1
• [eess.IV]PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI
Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg Michailovich, Michael Zibulevsky, Alex Bronstein
http://arxiv.org/abs/1909.05773v1
• [eess.IV]Rethinking the CSC Model for Natural Images
Dror Simon, Michael Elad
http://arxiv.org/abs/1909.05742v1
• [eess.IV]Tomographic reconstruction to detect evolving structures
Preeti Gopal, Sharat Chandran, Imants Svalbe, Ajit Rajwade
http://arxiv.org/abs/1909.05686v1
• [eess.SP]HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang
http://arxiv.org/abs/1909.05784v1
• [eess.SP]Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor
Yasin Almalioglu, Mehmet Turan, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham
http://arxiv.org/abs/1909.05774v1
• [eess.SP]Resource Allocation in Dynamic DF Relay for SWIPT Network with Circuit Power Consumption
Bhathiya Pilanawithana, Saman Atapattu, Jamie Evans
http://arxiv.org/abs/1909.05437v1
• [eess.SP]Unitary Shift Operators on a Graph
Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
http://arxiv.org/abs/1909.05767v1
• [eess.SY]Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization
Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche
http://arxiv.org/abs/1909.05699v1
• [eess.SY]Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin
http://arxiv.org/abs/1909.04694v2
• [eess.SY]Ensemble Learning based Convexification of Power Flow with Application in OPF
Ren Hu, Qifeng Li
http://arxiv.org/abs/1909.05748v1
• [eess.SY]Generalized Policy Iteration for Optimal Control in Continuous Time
Jingliang Duan, Shengbo Eben Li, Zhengyu Liu, Monimoy Bujarbaruah, Bo Cheng
http://arxiv.org/abs/1909.05402v1
• [eess.SY]Learning-based Model Predictive Control for Smart Building Thermal Management
Roja Eini, Sherif Abdelwahed
http://arxiv.org/abs/1909.05331v1
• [math.GN]Tree congruence: quantifying similarity between dendrogram topologies
Steven U. Vidovic
http://arxiv.org/abs/1909.05387v1
• [math.OC]Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
http://arxiv.org/abs/1909.05442v1
• [math.ST]A refined determinantal inequality for correlation matrices
Niushan Gao, Alexandra Kirillova, Zihao Tong
http://arxiv.org/abs/1909.05420v1
• [math.ST]A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology
Bérangère Bastien, Taha Boukhobza, Hélène Dumond, Anne Gégout-Petit, Aurélie Muller-Gueudin, Charlène Thiébaut
http://arxiv.org/abs/1909.05481v1
• [math.ST]A taxonomy of estimator consistency on discrete estimation problems
Michael Brand, Thomas Hendrey
http://arxiv.org/abs/1909.05582v1
• [math.ST]Optimal choice of $k$ for $k$-nearest neighbor regression
Mona Azadkia
http://arxiv.org/abs/1909.05495v1
• [math.ST]Sharp Large Deviations for empirical correlation coefficients
Thi Truong, Marguerite Zani
http://arxiv.org/abs/1909.05570v1
• [math.ST]The Global Markov Property for a Mixture of DAGs
Eric V. Strobl
http://arxiv.org/abs/1909.05418v1
• [q-bio.BM]On an enhancement of RNA probing data using Information Theory
Thomas J. X. Li, Christian M. Reidys
http://arxiv.org/abs/1909.05744v1
• [q-fin.RM]Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?
Gábor Petneházi, József Gáll
http://arxiv.org/abs/1909.05501v1
• [quant-ph]A chain rule for the quantum relative entropy
Kun Fang, Omar Fawzi, Renato Renner, David Sutter
http://arxiv.org/abs/1909.05826v1
• [stat.AP]A Tutorial for Joint Modeling of Longitudinal and Time-to-Event Data in R
Sezen Cekic, Stephen Aichele, Andreas M. Brandmaier, Ylva Köhncke, Paolo Ghisletta
http://arxiv.org/abs/1909.05661v1
• [stat.AP]Multi-rater delta: extending the delta nominal measure of agreement between two raters to many raters
A. Martín Andrés, M. Álvarez Hernández
http://arxiv.org/abs/1909.05575v1
• [stat.AP]Present criteria for prophylactic ICD implantation: Insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project
M. Zabel, S. Schlögl, A. Lubinski, J. H. Svendsen, A. Bauer, E. Arbelo, S. Brusich, D. Conen, I. Cygankiewicz, M. Dommasch, P. Flevari, J. Galuszka, J. Hansen, G. Hasenfuß, R. Hatala, H. V. Huikuri, T. Kenttä, T. Kuczejko, H. Haarmann, M. Harden, S. Iovev, S. Kääb, G. Kaliska, A. Katsimardos, J. D. Kasprzak, D. Qavoq, L. Lüthje, M. Malik, T. Novotny, N. Pavlovic, P. Perge, C. Röver, G. Schmidt, T. Shalganov, R. Sritharan, M. Svetlosak, Z. Sallo, J. Szavits-Nossan, V. Traykov, B. Vandenberk, V. Velchec, M. A. Vos, S. N. Willich, T. Friede, R. Willems, B. Merkely, C. Sticherling, the EU-CERT-ICD study investigators
http://arxiv.org/abs/1909.05571v1
• [stat.ME]A comparison of some conformal quantile regression methods
Matteo Sesia, Emmanuel J. Candès
http://arxiv.org/abs/1909.05433v1
• [stat.ME]Bayesian Model Calibration for Extrapolative Prediction via Gibbs Posteriors
Spencer Woody, Novin Ghaffari, Lauren Hund
http://arxiv.org/abs/1909.05428v1
• [stat.ME]Fast expectation-maximization algorithms for spatial generalized linear mixed models
Yawen Guan, Murali Haran
http://arxiv.org/abs/1909.05440v1
• [stat.ME]Insights and algorithms for the multivariate square-root lasso
Aaron J. Molstad
http://arxiv.org/abs/1909.05041v2
• [stat.ME]Synthetic estimation for the complier average causal effect
Denis Agniel, Bing Han, Matthew Cefalu
http://arxiv.org/abs/1909.05813v1
• [stat.ML]Communication-Efficient Distributed Optimization in Networks with Gradient Tracking
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
http://arxiv.org/abs/1909.05844v1
• [stat.ML]Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data
Yuta Saito, Shota Yasui
http://arxiv.org/abs/1909.05299v1
• [stat.ML]De-biased Machine Learning for Compliers
Rahul Singh, Liyang Sun
http://arxiv.org/abs/1909.05244v1
• [stat.ML]Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes
Nathan Kallus, Masatoshi Uehara
http://arxiv.org/abs/1909.05850v1
• [stat.ML]Explicit-Duration Markov Switching Models
Silvia Chiappa
http://arxiv.org/abs/1909.05800v1
• [stat.ML]Generating Data using Monte Carlo Dropout
Kristian Miok, Dong Nguyen-Doan, Daniela Zaharie, Marko Robnik-Šikonja
http://arxiv.org/abs/1909.05755v1
• [stat.ML]Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models
Faïcel Chamroukhi, Florian Lecocq, Hien D. Nguyen
http://arxiv.org/abs/1909.05494v1
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