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.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.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.SP - 信号处理
math.MG -公制几何
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence
• [cs.AI]Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning
• [cs.AI]Learning to Learn in Simulation
• [cs.AI]Learning to Schedule Communication in Multi-agent Reinforcement Learning
• [cs.CL]Abstractive Summarization of Spoken and Written Conversation
• [cs.CL]An Ensemble Dialogue System for Facts-Based Sentence Generation
• [cs.CL]End-to-End Open-Domain Question Answering with BERTserini
• [cs.CL]The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
• [cs.CL]Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
• [cs.CR]PUTWorkbench: Analysing Privacy in AI-intensive Systems
• [cs.CV]6D Object Pose Estimation without PnP
• [cs.CV]A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints
• [cs.CV]A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
• [cs.CV]AVP: Physics-informed Data Generation for Small-data Learning
• [cs.CV]An RNN-based IMM Filter Surrogate
• [cs.CV]DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search
• [cs.CV]Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
• [cs.CV]Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
• [cs.CV]Partial Fingerprint Detection Using Core Point Location
• [cs.CV]Revisiting a single-stage method for face detection
• [cs.CV]SASSE: Scalable and Adaptable 6-DOF Pose Estimation
• [cs.CV]TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis
• [cs.CV]Very Long Term Field of View Prediction for 360-degree Video Streaming
• [cs.CY]Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online
• [cs.DC]Blaze: Simplified High Performance Cluster Computing
• [cs.DC]Expressive Power of Oblivious Consensus Protocols
• [cs.DC]Low-latency job scheduling with preemption for the development of deep learning
• [cs.DC]ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems
• [cs.DS]Inferring the strength of social ties: a community-driven approach
• [cs.HC]Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs
• [cs.HC]East Asians with Internet Addiction: Prevalence Rates and Support Use Patterns
• [cs.IR]Mobile Information Retrieval
• [cs.IT]Error Rate Analysis of Amplitude-Coherent Detection over Rician Fading Channels with Receiver Diversity
• [cs.IT]Exploiting NOMA/OMA for Multi-UAV Communications in Large-Scale Networks
• [cs.IT]Identification, Secrecy, Template, and Privacy-Leakage of Biometric Identification System under Noisy Enrollment
• [cs.IT]Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations
• [cs.IT]MIMO Capacity with Average Total and Per-Antenna Power Constraints
• [cs.IT]Message transmission over classical quantum channels with a Jammer with side information; correlation as resource and common randomness generating
• [cs.IT]Recursive projection-aggregation decoding of Reed-Muller codes
• [cs.LG]A Modular Approach to Block-diagonal Hessian Approximations for Second-order Optimization Methods
• [cs.LG]A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
• [cs.LG]A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise
• [cs.LG]Bootstrapped Coordinate Search for Multidimensional Scaling
• [cs.LG]Confusion matrices and rough set data analysis
• [cs.LG]Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals
• [cs.LG]Deep Tree Transductions - A Short Survey
• [cs.LG]Distribution-Dependent Analysis of Gibbs-ERM Principle
• [cs.LG]Interactively shaping robot behaviour with unlabeled human instructions
• [cs.LG]Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data
• [cs.LG]Linear Inequality Constraints for Neural Network Activations
• [cs.LG]Metric Learning on Manifolds
• [cs.LG]Minimum description length as an objective function for non-negative matrix factorization
• [cs.LG]Optimal Nonparametric Inference via Deep Neural Network
• [cs.LG]PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
• [cs.LG]Parameter-free Online Convex Optimization with Sub-Exponential Noise
• [cs.LG]Perturbative GAN: GAN with Perturbation Layers
• [cs.LG]Relevance Factor VAE: Learning and Identifying Disentangled Factors
• [cs.LG]Robust Regression via Online Feature Selection under Adversarial Data Corruption
• [cs.LG]Robust supervised classification and feature selection using a primal-dual method
• [cs.LG]Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
• [cs.LG]Total stochastic gradient algorithms and applications in reinforcement learning
• [cs.LG]What is the dimension of your binary data?
• [cs.LG]XOC: Explainable Observer-Classifier for Explainable Binary Decisions
• [cs.MA]Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health
• [cs.NE]A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
• [cs.NE]AlphaStar: An Evolutionary Computation Perspective
• [cs.NE]Evaluating MAP-Elites on Constrained Optimization Problems
• [cs.NE]Optimally Scheduling CNN Convolutions for Efficient Memory Access
• [cs.RO]EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets
• [cs.RO]Functional Object-Oriented Network for Manipulation Learning
• [cs.RO]Learning Soft Tissue Dynamics in Image Space for Automated Bimanual Tissue Manipulation with Surgical Robots
• [cs.RO]Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts
• [cs.SD]A variance modeling framework based on variational autoencoders for speech enhancement
• [cs.SD]An Ensemble SVM-based Approach for Voice Activity Detection
• [cs.SE]How to "DODGE" Complex Software Analytics?
• [cs.SI]Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy
• [cs.SI]Detection of Violent Extremists in Social Media
• [cs.SI]Literature Survey on Finding Influential Communities in Large Scale Networks
• [econ.EM]A Sieve-SMM Estimator for Dynamic Models
• [eess.SP]Dictionary learning approach to monitoring of wind turbine drivetrain bearings
• [eess.SP]Dynamical Component Analysis (DyCA) and its application on epileptic EEG
• [math.MG]A Delsarte-Style Proof of the Bukh-Cox Bound
• [math.NA]Randomized Riemannian Preconditioning for Quadratically Constrained Problems
• [math.OC]Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
• [math.OC]On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems
• [math.PR]Some machine learning schemes for high-dimensional nonlinear PDEs
• [math.ST]Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics
• [math.ST]Consistent Risk Estimation in High-Dimensional Linear Regression
• [math.ST]Estimation of smooth densities in Wasserstein distance
• [physics.soc-ph]Anomaly detection in complex networks as a diagnosis of model over-simplification
• [physics.soc-ph]Error-Correcting Decoders for Communities in Networks
• [q-bio.NC]Comparison of brain connectomes using geodesic distance on manifold:a twin study
• [q-bio.QM]Reducing variability in along-tract analysis with diffusion profile realignment
• [quant-ph]Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers
• [stat.CO]Unbiased Smoothing using Particle Independent Metropolis-Hastings
• [stat.ME]Identification and Estimation of Causal Effects from Dependent Data
• [stat.ME]Survival Forests under Test: Impact of the Proportional Hazards Assumption on Prognostic and Predictive Forests for ALS Survival
• [stat.ML]A Forest from the Trees: Generation through Neighborhoods
• [stat.ML]Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
• [stat.ML]Exploiting locality in high-dimensional factorial hidden Markov models
• [stat.ML]Fatal Brain Damage
• [stat.ML]Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders
• [stat.ML]Global convergence of neuron birth-death dynamics
• [stat.ML]Learning Hierarchical Interactions at Scale: A Convex Optimization Approach
• [stat.ML]Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards
• [stat.ML]Spaces of Clusterings
• [stat.ML]The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits
·····································
• [cs.AI]Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence
Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha
http://arxiv.org/abs/1902.01769v1
• [cs.AI]Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning
Shushman Choudhury, Mykel J. Kochenderfer
http://arxiv.org/abs/1902.01560v1
• [cs.AI]Learning to Learn in Simulation
Ervin Teng, Bob Iannucci
http://arxiv.org/abs/1902.01569v1
• [cs.AI]Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi
http://arxiv.org/abs/1902.01554v1
• [cs.CL]Abstractive Summarization of Spoken and Written Conversation
Prakhar Ganesh, Saket Dingliwal
http://arxiv.org/abs/1902.01615v1
• [cs.CL]An Ensemble Dialogue System for Facts-Based Sentence Generation
Ryota Tanaka, Akihide Ozeki, Shugo Kato, Akinobu Lee
http://arxiv.org/abs/1902.01529v1
• [cs.CL]End-to-End Open-Domain Question Answering with BERTserini
Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin
http://arxiv.org/abs/1902.01718v1
• [cs.CL]The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein
http://arxiv.org/abs/1902.01541v1
• [cs.CL]Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
http://arxiv.org/abs/1902.01509v1
• [cs.CR]PUTWorkbench: Analysing Privacy in AI-intensive Systems
Saurabh Srivastava, Vinay P. Namboodiri, T. V. Prabhakar
http://arxiv.org/abs/1902.01580v1
• [cs.CV]6D Object Pose Estimation without PnP
Jin Liu
http://arxiv.org/abs/1902.01728v1
• [cs.CV]A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints
Alvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann
http://arxiv.org/abs/1902.01534v1
• [cs.CV]A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
Icaro O. de Oliveira, Keiko V. O. Fonseca, Rodrigo Minetto
http://arxiv.org/abs/1902.01496v1
• [cs.CV]AVP: Physics-informed Data Generation for Small-data Learning
Jialei Chen, Yujia Xie, Kan Wang, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian
http://arxiv.org/abs/1902.01522v1
• [cs.CV]An RNN-based IMM Filter Surrogate
Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens
http://arxiv.org/abs/1902.01739v1
• [cs.CV]DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search
Guillaume Michel, Mohammed Amine Alaoui, Alice Lebois, Amal Feriani, Mehdi Felhi
http://arxiv.org/abs/1902.01654v1
• [cs.CV]Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
Süleyman Aslan, Uğur Güdükbay, B. Uğur Töreyin, A. Enis Çetin
http://arxiv.org/abs/1902.01824v1
• [cs.CV]Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
Roberto Valle, José M. Buenaposada, Antonio Valdés, Luis Baumela
http://arxiv.org/abs/1902.01831v1
• [cs.CV]Partial Fingerprint Detection Using Core Point Location
Wajih Ullah Baig, Adeel Ejaz, Umar Munir, Kashif Sardar
http://arxiv.org/abs/1902.01400v1
• [cs.CV]Revisiting a single-stage method for face detection
Nguyen Van Quang, Hiromasa Fujihara
http://arxiv.org/abs/1902.01559v1
• [cs.CV]SASSE: Scalable and Adaptable 6-DOF Pose Estimation
Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders Eriksson, Michael Milford
http://arxiv.org/abs/1902.01549v1
• [cs.CV]TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis
Chenge Li, Gregory Dobler, Xin Feng, Yao Wang
http://arxiv.org/abs/1902.01466v1
• [cs.CV]Very Long Term Field of View Prediction for 360-degree Video Streaming
Chenge Li, Weixi Zhang, Yong Liu, Yao Wang
http://arxiv.org/abs/1902.01439v1
• [cs.CY]Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online
Genevieve Gorrell, Mehmet E. Bakir, Ian Roberts, Mark A. Greenwood, Benedetta Iavarone, Kalina Bontcheva
http://arxiv.org/abs/1902.01752v1
• [cs.DC]Blaze: Simplified High Performance Cluster Computing
Junhao Li, Hang Zhang
http://arxiv.org/abs/1902.01437v1
• [cs.DC]Expressive Power of Oblivious Consensus Protocols
Michael Blondin, Javier Esparza, Stefan Jaax
http://arxiv.org/abs/1902.01668v1
• [cs.DC]Low-latency job scheduling with preemption for the development of deep learning
Hidehito Yabuuchi, Daisuke Taniwaki, Shingo Omura
http://arxiv.org/abs/1902.01613v1
• [cs.DC]ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems
Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi
http://arxiv.org/abs/1902.01457v1
• [cs.DS]Inferring the strength of social ties: a community-driven approach
Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
http://arxiv.org/abs/1902.01832v1
• [cs.HC]Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs
Benjamin Renoust, Haolin Ren, Guy Melançon
http://arxiv.org/abs/1902.01564v1
• [cs.HC]East Asians with Internet Addiction: Prevalence Rates and Support Use Patterns
Stephen Wong, Cass Dykeman
http://arxiv.org/abs/1902.00757v1
• [cs.IR]Mobile Information Retrieval
Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
http://arxiv.org/abs/1902.01790v1
• [cs.IT]Error Rate Analysis of Amplitude-Coherent Detection over Rician Fading Channels with Receiver Diversity
Mohammad Al-Jarrah, Ki-Hong Park, Arafat Al-Dweik, Mohamed-Slim Alouini
http://arxiv.org/abs/1902.01812v1
• [cs.IT]Exploiting NOMA/OMA for Multi-UAV Communications in Large-Scale Networks
Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen
http://arxiv.org/abs/1902.01793v1
• [cs.IT]Identification, Secrecy, Template, and Privacy-Leakage of Biometric Identification System under Noisy Enrollment
Vamoua Yachongka, Hideki Yagi
http://arxiv.org/abs/1902.01663v1
• [cs.IT]Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations
Biqian Feng, Zhijun Liao, Yongpeng Wu, Juening Jin, Derrick Wing Kwan Ng, Xiang-Gen Xia, Xinbao Gong
http://arxiv.org/abs/1902.01585v1
• [cs.IT]MIMO Capacity with Average Total and Per-Antenna Power Constraints
Giorgio Taricco
http://arxiv.org/abs/1902.01817v1
• [cs.IT]Message transmission over classical quantum channels with a Jammer with side information; correlation as resource and common randomness generating
Holger Boche, Minglai Cai, Ning Cai
http://arxiv.org/abs/1902.01764v1
• [cs.IT]Recursive projection-aggregation decoding of Reed-Muller codes
Min Ye, Emmanuel Abbe
http://arxiv.org/abs/1902.01470v1
• [cs.LG]A Modular Approach to Block-diagonal Hessian Approximations for Second-order Optimization Methods
Felix Dangel, Philipp Hennig
http://arxiv.org/abs/1902.01813v1
• [cs.LG]A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei
http://arxiv.org/abs/1902.00980v2
• [cs.LG]A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise
Francis Bach, Kfir Y. Levy
http://arxiv.org/abs/1902.01637v1
• [cs.LG]Bootstrapped Coordinate Search for Multidimensional Scaling
Efthymios Tzinis
http://arxiv.org/abs/1902.01482v1
• [cs.LG]Confusion matrices and rough set data analysis
Ivo Düntsch, Günther Gediga
http://arxiv.org/abs/1902.01487v1
• [cs.LG]Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals
Seyedroohollah Hosseini, Xuan Guo
http://arxiv.org/abs/1902.01799v1
• [cs.LG]Deep Tree Transductions - A Short Survey
Davide Bacciu, Antonio Bruno
http://arxiv.org/abs/1902.01737v1
• [cs.LG]Distribution-Dependent Analysis of Gibbs-ERM Principle
Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári
http://arxiv.org/abs/1902.01846v1
• [cs.LG]Interactively shaping robot behaviour with unlabeled human instructions
Anis Najar, Olivier Sigaud, Mohamed Chetouani
http://arxiv.org/abs/1902.01670v1
• [cs.LG]Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
http://arxiv.org/abs/1902.01506v1
• [cs.LG]Linear Inequality Constraints for Neural Network Activations
Thomas Frerix, Daniel Cremers, Matthias Nießner
http://arxiv.org/abs/1902.01785v1
• [cs.LG]Metric Learning on Manifolds
Max Aalto, Nakul Verma
http://arxiv.org/abs/1902.01738v1
• [cs.LG]Minimum description length as an objective function for non-negative matrix factorization
Steven Squires, Adam Prugel Bennett, Mahesan Niranjan
http://arxiv.org/abs/1902.01632v1
• [cs.LG]Optimal Nonparametric Inference via Deep Neural Network
Ruiqi Liu, Ben Boukai, Zuofeng Shang
http://arxiv.org/abs/1902.01687v1
• [cs.LG]PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
Johan Mathe, Nina Miolane, Nicolas Sebastien, Jeremie Lequeux
http://arxiv.org/abs/1902.01453v1
• [cs.LG]Parameter-free Online Convex Optimization with Sub-Exponential Noise
Kwang-Sung Jun, Francesco Orabona
http://arxiv.org/abs/1902.01500v1
• [cs.LG]Perturbative GAN: GAN with Perturbation Layers
Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'uchi, Ryousei Takano, Wakana Nogami, Tomohiro Kudoh
http://arxiv.org/abs/1902.01514v1
• [cs.LG]Relevance Factor VAE: Learning and Identifying Disentangled Factors
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
http://arxiv.org/abs/1902.01568v1
• [cs.LG]Robust Regression via Online Feature Selection under Adversarial Data Corruption
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
http://arxiv.org/abs/1902.01729v1
• [cs.LG]Robust supervised classification and feature selection using a primal-dual method
Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau
http://arxiv.org/abs/1902.01600v1
• [cs.LG]Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt
http://arxiv.org/abs/1902.01659v1
• [cs.LG]Total stochastic gradient algorithms and applications in reinforcement learning
Paavo Parmas
http://arxiv.org/abs/1902.01722v1
• [cs.LG]What is the dimension of your binary data?
Nikolaj Tatti, Taneli Mielikainen, Aristides Gionis, Heikki Mannila
http://arxiv.org/abs/1902.01480v1
• [cs.LG]XOC: Explainable Observer-Classifier for Explainable Binary Decisions
Stephan Alaniz, Zeynep Akata
http://arxiv.org/abs/1902.01780v1
• [cs.MA]Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health
Daniel Stroud, Christian Wagner, Peer-Olaf Siebers
http://arxiv.org/abs/1902.01642v1
• [cs.NE]A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
Cengiz Pehlevan
http://arxiv.org/abs/1902.01429v1
• [cs.NE]AlphaStar: An Evolutionary Computation Perspective
Kai Arulkumaran, Antoine Cully, Julian Togelius
http://arxiv.org/abs/1902.01724v1
• [cs.NE]Evaluating MAP-Elites on Constrained Optimization Problems
Stefano Fioravanzo, Giovanni Iacca
http://arxiv.org/abs/1902.00703v2
• [cs.NE]Optimally Scheduling CNN Convolutions for Efficient Memory Access
Arthur Stoutchinin, Francesco Conti, Luca Benini
http://arxiv.org/abs/1902.01492v1
• [cs.RO]EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets
Markus Suchi, Timothy Patten, Markus Vincze
http://arxiv.org/abs/1902.01626v1
• [cs.RO]Functional Object-Oriented Network for Manipulation Learning
David Paulius, Yongqiang Huang, Roger Milton, William D. Buchanan, Jeanine Sam, Yu Sun
http://arxiv.org/abs/1902.01537v1
• [cs.RO]Learning Soft Tissue Dynamics in Image Space for Automated Bimanual Tissue Manipulation with Surgical Robots
Changyeob Shin, Peter Walker Ferguson, Sahba Aghajani Pedram, Ji Ma, Erik P. Dutson, Jacob Rosen
http://arxiv.org/abs/1902.01459v1
• [cs.RO]Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts
Mathew Halm, Michael Posa
http://arxiv.org/abs/1902.01462v1
• [cs.SD]A variance modeling framework based on variational autoencoders for speech enhancement
Simon Leglaive, Laurent Girin, Radu Horaud
http://arxiv.org/abs/1902.01605v1
• [cs.SD]An Ensemble SVM-based Approach for Voice Activity Detection
Jayanta Dey, Md Sanzid Bin Hossain, Mohammad Ariful Haque
http://arxiv.org/abs/1902.01544v1
• [cs.SE]How to "DODGE" Complex Software Analytics?
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
http://arxiv.org/abs/1902.01838v1
• [cs.SI]Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy
Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex "Sandy" Pentland, Gigliola Vaglini
http://arxiv.org/abs/1902.01601v1
• [cs.SI]Detection of Violent Extremists in Social Media
Hamidreza Alvari, Soumajyoti Sarkar, Paulo Shakarian
http://arxiv.org/abs/1902.01577v1
• [cs.SI]Literature Survey on Finding Influential Communities in Large Scale Networks
Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal
http://arxiv.org/abs/1902.01629v1
• [econ.EM]A Sieve-SMM Estimator for Dynamic Models
Jean-Jacques Forneron
http://arxiv.org/abs/1902.01456v1
• [eess.SP]Dictionary learning approach to monitoring of wind turbine drivetrain bearings
Sergio Martin-del-Campo, Fredrik Sandin, Daniel Strömbergsson
http://arxiv.org/abs/1902.01426v1
• [eess.SP]Dynamical Component Analysis (DyCA) and its application on epileptic EEG
Katharina Korn, Bastian Seifert, Christian Uhl
http://arxiv.org/abs/1902.01777v1
• [math.MG]A Delsarte-Style Proof of the Bukh-Cox Bound
Mark Magsino, Dustin G. Mixon, Hans Parshall
http://arxiv.org/abs/1902.00926v2
• [math.NA]Randomized Riemannian Preconditioning for Quadratically Constrained Problems
Boris Shustin, Haim Avron
http://arxiv.org/abs/1902.01635v1
• [math.OC]Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
Alinson S. Xavier, Feng Qiu, Shabbir Ahmed
http://arxiv.org/abs/1902.01697v1
• [math.OC]On the Convergence of Projected-Gradient Methods with Low-Rank Projections for Smooth Convex Minimization over Trace-Norm Balls and Related Problems
Dan Garber
http://arxiv.org/abs/1902.01644v1
• [math.PR]Some machine learning schemes for high-dimensional nonlinear PDEs
Côme Huré, Huyên Pham, Xavier Warin
http://arxiv.org/abs/1902.01599v1
• [math.ST]Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics
Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix
http://arxiv.org/abs/1902.01596v1
• [math.ST]Consistent Risk Estimation in High-Dimensional Linear Regression
Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu
http://arxiv.org/abs/1902.01753v1
• [math.ST]Estimation of smooth densities in Wasserstein distance
Jonathan Weed, Quentin Berthet
http://arxiv.org/abs/1902.01778v1
• [physics.soc-ph]Anomaly detection in complex networks as a diagnosis of model over-simplification
Luiz G. A. Alves, Alberto Aleta, Francisco A. Rodrigues, Yamir Moreno, Luis A. Nunes Amaral
http://arxiv.org/abs/1902.00716v1
• [physics.soc-ph]Error-Correcting Decoders for Communities in Networks
Krishna C. Bathina, Filippo Radicchi
http://arxiv.org/abs/1902.00896v1
• [q-bio.NC]Comparison of brain connectomes using geodesic distance on manifold:a twin study
A. Yamin, M. Dayan, L. Squarcina, P. Brambilla, V. Murino, V. Diwadkar, D. Sona
http://arxiv.org/abs/1902.01395v1
• [q-bio.QM]Reducing variability in along-tract analysis with diffusion profile realignment
Samuel St-Jean, Maxime Chamberland, Max A. Viergever, Alexander Leemans
http://arxiv.org/abs/1902.01399v1
• [quant-ph]Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers
Yunong Shi, Nelson Leung, Pranav Gokhale, Zane Rossi, David I. Schuster, Henry Hoffman, Fred T. Chong
http://arxiv.org/abs/1902.01474v1
• [stat.CO]Unbiased Smoothing using Particle Independent Metropolis-Hastings
Lawrence Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob
http://arxiv.org/abs/1902.01781v1
• [stat.ME]Identification and Estimation of Causal Effects from Dependent Data
Eli Sherman, Ilya Shpitser
http://arxiv.org/abs/1902.01443v1
• [stat.ME]Survival Forests under Test: Impact of the Proportional Hazards Assumption on Prognostic and Predictive Forests for ALS Survival
Natalia Korepanova, Heidi Seibold, Verena Steffen, Torsten Hothorn
http://arxiv.org/abs/1902.01587v1
• [stat.ML]A Forest from the Trees: Generation through Neighborhoods
Yang Li, Tianxiang Gao, Junier Oliva
http://arxiv.org/abs/1902.01435v1
• [stat.ML]Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
http://arxiv.org/abs/1902.01520v1
• [stat.ML]Exploiting locality in high-dimensional factorial hidden Markov models
Lorenzo Rimella, Nick Whiteley
http://arxiv.org/abs/1902.01639v1
• [stat.ML]Fatal Brain Damage
El Mahdi El Mhamdi, Rachid Guerraoui, Sergei Volodin
http://arxiv.org/abs/1902.01686v1
• [stat.ML]Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders
Baruch Epstein, Ron Meir
http://arxiv.org/abs/1902.01449v1
• [stat.ML]Global convergence of neuron birth-death dynamics
Grant Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden
http://arxiv.org/abs/1902.01843v1
• [stat.ML]Learning Hierarchical Interactions at Scale: A Convex Optimization Approach
Hussein Hazimeh, Rahul Mazumder
http://arxiv.org/abs/1902.01542v1
• [stat.ML]Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards
Sakshi Arya, Yuhong Yang
http://arxiv.org/abs/1902.00819v2
• [stat.ML]Spaces of Clusterings
Alexander Rolle, Luis Scoccola
http://arxiv.org/abs/1902.01436v1
• [stat.ML]The Generalized Likelihood Ratio Test meets klUCB: an Improved Algorithm for Piece-Wise Non-Stationary Bandits
Lilian Besson, Emilie Kaufmann
http://arxiv.org/abs/1902.01575v1
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