astro-ph.EP - 地球与行星天体
cs.AI - 人工智能 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.SP - 信号处理 eess.SY - 系统和控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 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.EP]Automated crater shape retrieval using weakly-supervised deep learning
• [cs.AI]Categorizing Wireheading in Partially Embedded Agents
• [cs.AI]Customer Segmentation of Wireless Trajectory Data
• [cs.AI]Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
• [cs.CL]A Deep Generative Model for Code-Switched Text
• [cs.CL]Be Consistent! Improving Procedural Text Comprehension using Label Consistency
• [cs.CL]CUNI System for the WMT19 Robustness Task
• [cs.CL]Demonstration of a Neural Machine Translation System with Online Learning for Translators
• [cs.CL]Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
• [cs.CL]Incremental Adaptation of NMT for Professional Post-editors: A User Study
• [cs.CL]Informative Image Captioning with External Sources of Information
• [cs.CL]Learning Bilingual Word Embeddings Using Lexical Definitions
• [cs.CL]Low-Resource Corpus Filtering using Multilingual Sentence Embeddings
• [cs.CL]Mitigating Gender Bias in Natural Language Processing: Literature Review
• [cs.CR]Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
• [cs.CR]Quantitative Mitigation of Timing Side Channels
• [cs.CV]Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks
• [cs.CV]Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
• [cs.CV]Evolution Attack On Neural Networks
• [cs.CV]FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge
• [cs.CV]From Zero-Shot Learning to Cold-Start Recommendation
• [cs.CV]Fully Decoupled Neural Network Learning Using Delayed Gradients
• [cs.CV]Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
• [cs.CV]Predicting Future Opioid Incidences Today
• [cs.CV]Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
• [cs.CY]Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
• [cs.CY]Zero Latency for Emergencies: A Machine Learning based Approach to Quantify Impact of Construction Projects on Emergency Response in Urban Settings
• [cs.DB]A Comparative Survey of Recent Natural Language Interfaces for Databases
• [cs.DB]Explainable Fact Checking with Probabilistic Answer Set Programming
• [cs.DC]MinMax Algorithms for Stabilizing Consensus
• [cs.DC]Performance Comparison Between OpenCV Built in CPU and GPU Functions on Image Processing Operations
• [cs.DC]QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
• [cs.DC]Scalable and Probabilistic Leaderless BFT Consensus through Metastability
• [cs.DC]Scheduling for Flexible Manufacturing System with Objective Function to be Minimization of Total Processing Time and Unbalance of Machine Load
• [cs.DC]Semantics-aware Virtual Machine Image Management in IaaS Clouds
• [cs.DC]Toward a Standard Interface for User-Defined Scheduling in OpenMP
• [cs.DC]VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues
• [cs.DS]Fairness and Utilization in Allocating Resources with Uncertain Demand
• [cs.HC]Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts
• [cs.IR]Hierarchical Gating Networks for Sequential Recommendation
• [cs.IT]A New Achievable Rate-Distortion Region for Distributed Source Coding
• [cs.IT]LPD Communication: A Sequential Change-Point Detection Perspective
• [cs.IT]Multi-Server Private Information Retrieval with Coded Side Information
• [cs.IT]Some results about permutation properties of a kind of binomials over finite fields
• [cs.LG]A Deep Reinforcement Learning Approach for Global Routing
• [cs.LG]A Fourier Perspective on Model Robustness in Computer Vision
• [cs.LG]Adaptive Learning Rate Clipping Stabilizes Learning
• [cs.LG]Backpropagation-Friendly Eigendecomposition
• [cs.LG]Connectivity-Optimized Representation Learning via Persistent Homology
• [cs.LG]Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
• [cs.LG]Deep Leakage from Gradients
• [cs.LG]Deep Learning in the Automotive Industry: Recent Advances and Application Examples
• [cs.LG]Disentangled Skill Embeddings for Reinforcement Learning
• [cs.LG]Entropic Risk Measure in Policy Search
• [cs.LG]FlipTest: Fairness Auditing via Optimal Transport
• [cs.LG]Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
• [cs.LG]Intrinsic Weight Learning Approach for Multi-view Clustering
• [cs.LG]Joint Detection of Malicious Domains and Infected Clients
• [cs.LG]Learning as the Unsupervised Alignment of Conceptual Systems
• [cs.LG]Learning from weakly dependent data under Dobrushin’s condition
• [cs.LG]Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems
• [cs.LG]Meta-learning of textual representations
• [cs.LG]Neural Topographic Factor Analysis for fMRI Data
• [cs.LG]Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
• [cs.LG]Privacy Preserving QoE Modeling using Collaborative Learning
• [cs.LG]Quantum-Inspired Support Vector Machine
• [cs.LG]Randomized Exploration in Generalized Linear Bandits
• [cs.LG]Shaping Belief States with Generative Environment Models for RL
• [cs.LG]Sparse Spectrum Gaussian Process for Bayesian Optimisation
• [cs.LG]Theory of the Frequency Principle for General Deep Neural Networks
• [cs.LG]Thompson Sampling for Adversarial Bit Prediction
• [cs.LG]Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
• [cs.LG]When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
• [cs.MA]Topology Inference over Networks with Nonlinear Coupling
• [cs.NE]Derivation of the Variational Bayes Equations
• [cs.NE]Sharp Bounds on the Runtime of the (1+1) EA via Drift Analysis and Analytic Combinatorial Tools
• [cs.RO]A Robust Biped Locomotion Based on Linear-Quadratic-Gaussian Controller and Divergent Component of Motion
• [cs.RO]Autonomous Navigation of MAVs in Unknown Cluttered Environments
• [cs.RO]Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
• [cs.RO]Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraints
• [cs.RO]Learning Reward Functions by Integrating Human Demonstrations and Preferences
• [cs.RO]Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm
• [cs.RO]SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
• [cs.RO]Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
• [cs.SD]Query-based Deep Improvisation
• [cs.SD]Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling
• [cs.SI]Appliance of network theory in economic geography
• [cs.SI]Coupled Graph Neural Networks for Predicting the Popularity of Online Content
• [cs.SI]Engagement index for users and conversations in encrypted messages from WhatsApp groups
• [cs.SI]The Impact of Projection and Backboning on Network Topologies
• [eess.SP]Information Bottleneck Decoding of Rate-Compatible 5G-LDPC Codes
• [eess.SY]Revised Progressive-Hedging-Algorithm Based Two-layer Solution Scheme for Bayesian Reinforcement Learning
• [math.PR]Power and limitations of conformal martingales
• [math.ST]A Multiscale Scan Statistic for Adaptive Submatrix Localization
• [math.ST]Estimation of the Kronecker Covariance Model by Partial Means and Quadratic Form
• [math.ST]Intermediate efficiency of some weighted goodness-of-fit statistics
• [math.ST]Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data
• [physics.soc-ph]Community Detection in the Hyperbolic Space
• [physics.soc-ph]Gender gaps in urban mobility
• [physics.soc-ph]Inside the Echo Chamber: Disentangling network dynamics from polarization
• [physics.soc-ph]Simplex2Vec embeddings for community detection in simplicial complexes
• [stat.AP]A Flexible Pipeline for Prediction of Tropical Cyclone Paths
• [stat.CO]Pushing the Limits of Importance Sampling through Iterative Moment Matching
• [stat.ME]Maximum Approximate Bernstein Likelihood Estimation in Proportional Hazard Model for Interval-Censored Data
• [stat.ME]Mediation analysis for zero-inflated mediators with applications to microbiome data
• [stat.ME]New methods for multiple testing in permutation inference for the general linear model
• [stat.ME]On Statistical Properties of A Veracity Scoring Method for Spatial Data
• [stat.ME]Versatile linkage: a family of space-conserving strategies for agglomerative hierarchical clustering
• [stat.ML]Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information
• [stat.ML]First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
• [stat.ML]Limitations of Lazy Training of Two-layers Neural Networks
• [stat.ML]Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
• [stat.ML]Modeling and Forecasting Art Movements with CGANs
• [stat.ML]On Tree-based Methods for Similarity Learning
• [stat.ML]Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
• [stat.ML]Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes
·····································
• [astro-ph.EP]Automated crater shape retrieval using weakly-supervised deep learning
Mohamad Ali-Dib, Kristen Menou, Chenchong Zhu, Noah Hammond, Alan P. Jackson
http://arxiv.org/abs/1906.08826v1
• [cs.AI]Categorizing Wireheading in Partially Embedded Agents
Arushi Majha, Sayan Sarkar, Davide Zagami
http://arxiv.org/abs/1906.09136v1
• [cs.AI]Customer Segmentation of Wireless Trajectory Data
Matthew R Karlsen, Sotiris K. Moschoyiannis
http://arxiv.org/abs/1906.08874v1
• [cs.AI]Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
Shushman Choudhury, Mykel J. Kochenderfer
http://arxiv.org/abs/1906.09094v1
• [cs.CL]A Deep Generative Model for Code-Switched Text
Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti
http://arxiv.org/abs/1906.08972v1
• [cs.CL]Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
http://arxiv.org/abs/1906.08942v1
• [cs.CL]CUNI System for the WMT19 Robustness Task
Jindřich Helcl, Jindřich Libovický, Martin Popel
http://arxiv.org/abs/1906.09246v1
• [cs.CL]Demonstration of a Neural Machine Translation System with Online Learning for Translators
Miguel Domingo, Mercedes García-Martínez, Amando Estela, Laurent Bié, Alexandre Helle, Álvaro Peris, Francisco Casacuberta, Manuerl Herranz
http://arxiv.org/abs/1906.09000v1
• [cs.CL]Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang
http://arxiv.org/abs/1906.08931v1
• [cs.CL]Incremental Adaptation of NMT for Professional Post-editors: A User Study
Miguel Domingo, Mercedes García-Martínez, Álvaro Peris, Alexandre Helle, Amando Estela, Laurent Bié, Francisco Casacuberta, Manuel Herranz
http://arxiv.org/abs/1906.08996v1
• [cs.CL]Informative Image Captioning with External Sources of Information
Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut
http://arxiv.org/abs/1906.08876v1
• [cs.CL]Learning Bilingual Word Embeddings Using Lexical Definitions
Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang
http://arxiv.org/abs/1906.08939v1
• [cs.CL]Low-Resource Corpus Filtering using Multilingual Sentence Embeddings
Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, Holger Schwenk, Philipp Koehn
http://arxiv.org/abs/1906.08885v1
• [cs.CL]Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang
http://arxiv.org/abs/1906.08976v1
• [cs.CR]Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik
http://arxiv.org/abs/1906.08805v1
• [cs.CR]Quantitative Mitigation of Timing Side Channels
Saeid Tizpaz-Niari, Pavol Cerny, Ashutosh Trivedi
http://arxiv.org/abs/1906.08957v1
• [cs.CV]Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks
Jonas Prellberg, Oliver Kramer
http://arxiv.org/abs/1906.09020v1
• [cs.CV]Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann
http://arxiv.org/abs/1906.08967v1
• [cs.CV]Evolution Attack On Neural Networks
YiGui Luo, RuiJia Yang, Wei Sha, WeiYi Ding, YouTeng Sun, YiSi Wang
http://arxiv.org/abs/1906.09072v1
• [cs.CV]FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
http://arxiv.org/abs/1906.08960v1
• [cs.CV]From Zero-Shot Learning to Cold-Start Recommendation
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
http://arxiv.org/abs/1906.08511v2
• [cs.CV]Fully Decoupled Neural Network Learning Using Delayed Gradients
Huiping Zhuang, Yi Wang, Qinglai Liu, Zhiping Lin
http://arxiv.org/abs/1906.09108v1
• [cs.CV]Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer
http://arxiv.org/abs/1906.08953v1
• [cs.CV]Predicting Future Opioid Incidences Today
Sandipan Choudhuri, Kaustav Basu, Kevin Thomas, Arunabha Sen
http://arxiv.org/abs/1906.08891v1
• [cs.CV]Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong, Benjamin Sapp, James Philbin
http://arxiv.org/abs/1906.08945v1
• [cs.CY]Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg, Karen Levy
http://arxiv.org/abs/1906.09208v1
• [cs.CY]Zero Latency for Emergencies: A Machine Learning based Approach to Quantify Impact of Construction Projects on Emergency Response in Urban Settings
Zhengbo Zou, Semiha Ergan
http://arxiv.org/abs/1906.08910v1
• [cs.DB]A Comparative Survey of Recent Natural Language Interfaces for Databases
Katrin Affolter, Kurt Stockinger, Abraham Bernstein
http://arxiv.org/abs/1906.08990v1
• [cs.DB]Explainable Fact Checking with Probabilistic Answer Set Programming
Naser Ahmadi, Joohyung Lee, Paolo Papotti, Mohammed Saeed
http://arxiv.org/abs/1906.09198v1
• [cs.DC]MinMax Algorithms for Stabilizing Consensus
Bernadette Charron-Bost, Shlomo Moran
http://arxiv.org/abs/1906.09073v1
• [cs.DC]Performance Comparison Between OpenCV Built in CPU and GPU Functions on Image Processing Operations
Batuhan Hangün, Önder Eyecioğlu
http://arxiv.org/abs/1906.08819v1
• [cs.DC]QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
Fatima Haouari, Emna Baccour, Aiman Erbad, Amr Mohamed, Mohsen Guizani
http://arxiv.org/abs/1906.09086v1
• [cs.DC]Scalable and Probabilistic Leaderless BFT Consensus through Metastability
Team Rocket, Maofan Yin, Kevin Sekniqi, Robbert van Renesse, Emin Gün Sirer
http://arxiv.org/abs/1906.08936v1
• [cs.DC]Scheduling for Flexible Manufacturing System with Objective Function to be Minimization of Total Processing Time and Unbalance of Machine Load
U Yongnam, Ri Taehyong
http://arxiv.org/abs/1906.08926v1
• [cs.DC]Semantics-aware Virtual Machine Image Management in IaaS Clouds
Nishant Saurabh, Julian Remmers, Dragi Kimovski, Radu Prodan, Jorge G. Barbosa
http://arxiv.org/abs/1906.09122v1
• [cs.DC]Toward a Standard Interface for User-Defined Scheduling in OpenMP
Vivek Kale, Christian Iwainsky, Michael Klemm, Jonas Kondorfer, Florina Ciorba
http://arxiv.org/abs/1906.08911v1
• [cs.DC]VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues
Nishant Saurabh, Dragi Kimovski, Simon Ostermann, Radu Prodan
http://arxiv.org/abs/1906.09182v1
• [cs.DS]Fairness and Utilization in Allocating Resources with Uncertain Demand
Kate Donahue, Jon Kleinberg
http://arxiv.org/abs/1906.09050v1
• [cs.HC]Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts
Aadhavan M. Nambhi, Bhanu Prakash Reddy, Aarsh Prakash Agarwal, Gaurav Verma, Harvineet Singh, Iftikhar Ahamath Burhanuddin
http://arxiv.org/abs/1906.08973v1
• [cs.IR]Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang, Xue Liu
http://arxiv.org/abs/1906.09217v1
• [cs.IT]A New Achievable Rate-Distortion Region for Distributed Source Coding
Farhad Shirani, S. Sandeep Pradhan
http://arxiv.org/abs/1906.08810v1
• [cs.IT]LPD Communication: A Sequential Change-Point Detection Perspective
Ke-Wen Huang, Hui-Ming Wang, Don Towsley, H. Vincent Poor
http://arxiv.org/abs/1906.08938v1
• [cs.IT]Multi-Server Private Information Retrieval with Coded Side Information
Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, Alex Sprintson
http://arxiv.org/abs/1906.09259v1
• [cs.IT]Some results about permutation properties of a kind of binomials over finite fields
Xiaogang Liu
http://arxiv.org/abs/1906.09168v1
• [cs.LG]A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao, Wentai Zhang, Xuliang Dong, Barnabas Poczos, Kenji Shimada, Levent Burak Kara
http://arxiv.org/abs/1906.08809v1
• [cs.LG]A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer
http://arxiv.org/abs/1906.08988v1
• [cs.LG]Adaptive Learning Rate Clipping Stabilizes Learning
Jeffrey M. Ede, Richard Beanland
http://arxiv.org/abs/1906.09060v1
• [cs.LG]Backpropagation-Friendly Eigendecomposition
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
http://arxiv.org/abs/1906.09023v1
• [cs.LG]Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer
http://arxiv.org/abs/1906.09003v1
• [cs.LG]Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan
http://arxiv.org/abs/1906.09205v1
• [cs.LG]Deep Leakage from Gradients
Ligeng Zhu, Zhijian Liu, Song Han
http://arxiv.org/abs/1906.08935v1
• [cs.LG]Deep Learning in the Automotive Industry: Recent Advances and Application Examples
Kanwar Bharat Singh, Mustafa Ali Arat
http://arxiv.org/abs/1906.08834v1
• [cs.LG]Disentangled Skill Embeddings for Reinforcement Learning
Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam, Peter Vrancx, Jordi Grau-Moya
http://arxiv.org/abs/1906.09223v1
• [cs.LG]Entropic Risk Measure in Policy Search
David Nass, Boris Belousov, Jan Peters
http://arxiv.org/abs/1906.09090v1
• [cs.LG]FlipTest: Fairness Auditing via Optimal Transport
Emily Black, Samuel Yeom, Matt Fredrikson
http://arxiv.org/abs/1906.09218v1
• [cs.LG]Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
Ryan Rogers, Aaron Roth, Adam Smith, Nathan Srebro, Om Thakkar, Blake Woodworth
http://arxiv.org/abs/1906.09231v1
• [cs.LG]Intrinsic Weight Learning Approach for Multi-view Clustering
Feiping Nie, Jing Li, Xuelong Li
http://arxiv.org/abs/1906.08905v1
• [cs.LG]Joint Detection of Malicious Domains and Infected Clients
Paul Prasse, Rene Knaebel, Lukas Machlica, Tomas Pevny, Tobias Scheffer
http://arxiv.org/abs/1906.09084v1
• [cs.LG]Learning as the Unsupervised Alignment of Conceptual Systems
Brett D. Roads, Bradley C. Love
http://arxiv.org/abs/1906.09012v1
• [cs.LG]Learning from weakly dependent data under Dobrushin’s condition
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
http://arxiv.org/abs/1906.09247v1
• [cs.LG]Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems
Žiga Lukšič, Jovan Tanevski, Sašo Džeroski, Ljupčo Todorovski
http://arxiv.org/abs/1906.09088v1
• [cs.LG]Meta-learning of textual representations
Jorge Madrid, Hugo Jair Escalante, Eduardo Morales
http://arxiv.org/abs/1906.08934v1
• [cs.LG]Neural Topographic Factor Analysis for fMRI Data
Eli Sennesh, Zulqarnain Khan, Jennifer Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
http://arxiv.org/abs/1906.08901v1
• [cs.LG]Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh
http://arxiv.org/abs/1906.08879v1
• [cs.LG]Privacy Preserving QoE Modeling using Collaborative Learning
Selim Ickin, Konstantinos Vandikas, Markus Fiedler
http://arxiv.org/abs/1906.09248v1
• [cs.LG]Quantum-Inspired Support Vector Machine
Chen Ding, Tian-Yi Bao, He-Liang Huang
http://arxiv.org/abs/1906.08902v1
• [cs.LG]Randomized Exploration in Generalized Linear Bandits
Branislav Kveton, Manzil Zaheer, Csaba Szepesvari, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
http://arxiv.org/abs/1906.08947v1
• [cs.LG]Shaping Belief States with Generative Environment Models for RL
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord
http://arxiv.org/abs/1906.09237v1
• [cs.LG]Sparse Spectrum Gaussian Process for Bayesian Optimisation
Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
http://arxiv.org/abs/1906.08898v1
• [cs.LG]Theory of the Frequency Principle for General Deep Neural Networks
Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang
http://arxiv.org/abs/1906.09235v1
• [cs.LG]Thompson Sampling for Adversarial Bit Prediction
Yuval Lewi, Haim Kaplan, Yishay Mansour
http://arxiv.org/abs/1906.09059v1
• [cs.LG]Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Joshua Hanson, Maxim Raginsky
http://arxiv.org/abs/1906.09211v1
• [cs.LG]When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar
http://arxiv.org/abs/1906.08792v1
• [cs.MA]Topology Inference over Networks with Nonlinear Coupling
Augusto Santos, Vincenzo Matta, Ali H. Sayed
http://arxiv.org/abs/1906.09029v1
• [cs.NE]Derivation of the Variational Bayes Equations
Alianna J. Maren
http://arxiv.org/abs/1906.08804v1
• [cs.NE]Sharp Bounds on the Runtime of the (1+1) EA via Drift Analysis and Analytic Combinatorial Tools
Hsien-Kuei Hwang, Carsten Witt
http://arxiv.org/abs/1906.09047v1
• [cs.RO]A Robust Biped Locomotion Based on Linear-Quadratic-Gaussian Controller and Divergent Component of Motion
Mohammadreza Kasaei, Nuno Lau, Artur Pereira
http://arxiv.org/abs/1906.09239v1
• [cs.RO]Autonomous Navigation of MAVs in Unknown Cluttered Environments
Leobardo Campos-Macías, Rodrigo Aldana-López, Rafael de la Guardia, José I. Parra-Vilchis, David Gómez-Gutiérrez
http://arxiv.org/abs/1906.08839v1
• [cs.RO]Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee
http://arxiv.org/abs/1906.08989v1
• [cs.RO]Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraints
Cagri Kilic, Jason N. Gross, Nicholas Ohi, Ryan Watson, Jared Strader, Thomas Swiger, Scott Harper, Yu Gu
http://arxiv.org/abs/1906.08849v1
• [cs.RO]Learning Reward Functions by Integrating Human Demonstrations and Preferences
Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh
http://arxiv.org/abs/1906.08928v1
• [cs.RO]Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm
Zinan Liu, Arne Hitzmann, Shuhei Ikemoto, Svenja Stark, Jan Peters, Koh Hosoda
http://arxiv.org/abs/1906.09013v1
• [cs.RO]SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
Tuo Feng, Dongbing Gu
http://arxiv.org/abs/1906.08889v1
• [cs.RO]Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg
http://arxiv.org/abs/1906.08880v1
• [cs.SD]Query-based Deep Improvisation
Shlomo Dubnov
http://arxiv.org/abs/1906.09155v1
• [cs.SD]Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling
Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai
http://arxiv.org/abs/1906.08977v1
• [cs.SI]Appliance of network theory in economic geography
Alexandra Barina, Gabriel Barina, Mihai Udrescu
http://arxiv.org/abs/1906.08946v1
• [cs.SI]Coupled Graph Neural Networks for Predicting the Popularity of Online Content
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
http://arxiv.org/abs/1906.09032v1
• [cs.SI]Engagement index for users and conversations in encrypted messages from WhatsApp groups
Moshe Cotacallapa, Didier A. Vega-Oliveros
http://arxiv.org/abs/1906.08875v1
• [cs.SI]The Impact of Projection and Backboning on Network Topologies
Michele Coscia, Luca Rossi
http://arxiv.org/abs/1906.09081v1
• [eess.SP]Information Bottleneck Decoding of Rate-Compatible 5G-LDPC Codes
Maximilian Stark, Linfang Wang, Richard D. Wesel, Gerhard Bauch
http://arxiv.org/abs/1906.08985v1
• [eess.SY]Revised Progressive-Hedging-Algorithm Based Two-layer Solution Scheme for Bayesian Reinforcement Learning
Xin Huang, Duan Li, Daniel Zhuoyu Long
http://arxiv.org/abs/1906.09035v1
• [math.PR]Power and limitations of conformal martingales
Vladimir Vovk
http://arxiv.org/abs/1906.09256v1
• [math.ST]A Multiscale Scan Statistic for Adaptive Submatrix Localization
Yuchao Liu, Ery Arias-Castro
http://arxiv.org/abs/1906.08884v1
• [math.ST]Estimation of the Kronecker Covariance Model by Partial Means and Quadratic Form
Oliver B. Linton, Haihan Tang
http://arxiv.org/abs/1906.08908v1
• [math.ST]Intermediate efficiency of some weighted goodness-of-fit statistics
Bogdan Ćmiel, Tadeusz Inglot, Teresa Ledwina
http://arxiv.org/abs/1906.09143v1
• [math.ST]Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data
James A. Grant, David S. Leslie
http://arxiv.org/abs/1906.08799v1
• [physics.soc-ph]Community Detection in the Hyperbolic Space
Matteo Bruno, Sandro Ferreira Sousa, Furkan Gursoy, Matteo Serafino, Francesca V. Vianello, Ana Vranić, Marián Boguñá
http://arxiv.org/abs/1906.09082v1
• [physics.soc-ph]Gender gaps in urban mobility
Laetitia Gauvin, Michele Tizzoni, Simone Piaggesi, Andrew Young, Natalia Adler, Stefaan Verhulst, Leo Ferres, Ciro Cattuto
http://arxiv.org/abs/1906.09092v1
• [physics.soc-ph]Inside the Echo Chamber: Disentangling network dynamics from polarization
Duilio Balsamo, Valeria Gelardi, Chengyuan Han, Daniele Rama, Abhishek Samantray, Claudia Zucca, Michele Starnini
http://arxiv.org/abs/1906.09076v1
• [physics.soc-ph]Simplex2Vec embeddings for community detection in simplicial complexes
Jacob Charles Wright Billings, Mirko Hu, Giulia Lerda, Alexey N. Medvedev, Francesco Mottes, Adrian Onicas, Andrea Santoro, Giovanni Petri
http://arxiv.org/abs/1906.09068v1
• [stat.AP]A Flexible Pipeline for Prediction of Tropical Cyclone Paths
Niccolò Dalmasso, Robin Dunn, Benjamin LeRoy, Chad Schafer
http://arxiv.org/abs/1906.08832v1
• [stat.CO]Pushing the Limits of Importance Sampling through Iterative Moment Matching
Topi Paananen, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari
http://arxiv.org/abs/1906.08850v1
• [stat.ME]Maximum Approximate Bernstein Likelihood Estimation in Proportional Hazard Model for Interval-Censored Data
Zhong Guan
http://arxiv.org/abs/1906.08882v1
• [stat.ME]Mediation analysis for zero-inflated mediators with applications to microbiome data
Zhigang Li, Janaka S. S. Liyanage, A. James O’Malley, Susmita Datta, Raad Z. Gharaibeh, Christian Jobin, Modupe O. Coker, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Margaret R. Karagas
http://arxiv.org/abs/1906.09175v1
• [stat.ME]New methods for multiple testing in permutation inference for the general linear model
Tomas Mrkvicka, Mari Myllymaki, Naveen Naidu Narisetty
http://arxiv.org/abs/1906.09004v1
• [stat.ME]On Statistical Properties of A Veracity Scoring Method for Spatial Data
Arnab Chakraborty, Soumendra N. Lahiri
http://arxiv.org/abs/1906.08843v1
• [stat.ME]Versatile linkage: a family of space-conserving strategies for agglomerative hierarchical clustering
Alberto Fernández, Sergio Gómez
http://arxiv.org/abs/1906.09222v1
• [stat.ML]Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
http://arxiv.org/abs/1906.08952v1
• [stat.ML]First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Thanh Huy Nguyen, Umut Şimşekli, Mert Gürbüzbalaban, Gaël Richard
http://arxiv.org/abs/1906.09069v1
• [stat.ML]Limitations of Lazy Training of Two-layers Neural Networks
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
http://arxiv.org/abs/1906.08899v1
• [stat.ML]Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
http://arxiv.org/abs/1906.09255v1
• [stat.ML]Modeling and Forecasting Art Movements with CGANs
Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth Flaxman
http://arxiv.org/abs/1906.09230v1
• [stat.ML]On Tree-based Methods for Similarity Learning
Stéphan Clémençon, Robin Vogel
http://arxiv.org/abs/1906.09243v1
• [stat.ML]Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Robin Vogel, Aurélien Bellet, Stephan Clémençon, Ons Jelassi, Guillaume Papa
http://arxiv.org/abs/1906.09234v1
• [stat.ML]Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes
Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
http://arxiv.org/abs/1906.09199v1