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.GT - 计算机科学与博弈论
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
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
math.NA - 数值分析
physics.comp-ph - 计算物理学
quant-ph - 量子物理
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Block Argumentation
• [cs.AI]Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
• [cs.CL]Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages
• [cs.CL]Chinese Word Segmentation: Another Decade Review (2007-2017)
• [cs.CL]Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction
• [cs.CL]Improving Sequence-to-Sequence Learning via Optimal Transport
• [cs.CV]Adapting Convolutional Neural Networks for Geographical Domain Shift
• [cs.CV]Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
• [cs.CV]CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint
• [cs.CV]DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
• [cs.CV]Embedded CNN based vehicle classification and counting in non-laned road traffic
• [cs.CV]Fast High-Dimensional Kernel Filtering
• [cs.CV]Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
• [cs.CV]Generative Adversarial Classifier for Handwriting Characters Super-Resolution
• [cs.CV]Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
• [cs.CV]Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration
• [cs.CV]Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification
• [cs.CV]Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks
• [cs.CV]ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining
• [cs.CY]An Empirical Survey on Co-simulation: Promising Standards, Challenges and Research Needs
• [cs.CY]TEduChain: A Platform for Crowdsourcing Tertiary Education Fund using Blockchain Technology
• [cs.DC]An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System
• [cs.DC]Are Smart Contracts and Blockchains Suitable for Decentralized Railway Control?
• [cs.DC]Cloud Resource Optimization for Processing Multiple Streams of Visual Data
• [cs.DC]Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes
• [cs.DC]Heterogeneous FPGA+GPU Embedded Systems: Challenges and Opportunities
• [cs.DC]On-line Application Autotuning Exploiting Ensemble Models
• [cs.DC]The ANTAREX Domain Specific Language for High Performance Computing
• [cs.DC]Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App
• [cs.DS]Accelerated Experimental Design for Pairwise Comparisons
• [cs.GT]Computing Optimal Coarse Correlated Equilibria in Sequential Games
• [cs.GT]Computing large market equilibria using abstractions
• [cs.IR]Cold-start Playlist Recommendation with Multitask Learning
• [cs.IR]Identifying Unclear Questions in Community Question Answering Websites
• [cs.IR]Ranking Online Consumer Reviews
• [cs.IT]A Note on the Transformation to Enable Optimal Repair in MDS Codes for Distributed Storage Systems
• [cs.IT]An information theoretic model for summarization, and some basic results
• [cs.IT]Array Pattern Synthesis: A Tighter Robust Model and ADMM-Based Solution
• [cs.IT]Cocktail BPSK: Achievable Data Rate beyond Channel Capacity
• [cs.IT]Coded Caching based on Combinatorial Designs
• [cs.IT]Degrees of Freedom Region of the MIMO Broadcast Channel with Partial CSIT: An Application of Sum-set Inequalities Based on Aligned Image Sets
• [cs.IT]Gambling and Rényi Divergence
• [cs.IT]Massive Random Access with Common Alarm Messages
• [cs.IT]Modular design to transform codes for the wiretap channel of type I into codes for the wiretap channel of type II
• [cs.IT]On Distance Properties of Convolutional Polar Codes
• [cs.IT]On Epsilon-MSCR Codes for Two Erasures
• [cs.IT]On Estimation under Noisy Order Statistics
• [cs.IT]On the Achievable Rate of a Sample-based Practical Photon-counting Receiver
• [cs.IT]Optimal Space-Time Block Code Designs Based on Irreducible Polynomials of Degree Two
• [cs.IT]Outage in Motorway Multi-Lane VANETs with Hardcore Headway Distance Using Synthetic Traces
• [cs.IT]Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks
• [cs.IT]SPARCs for Unsourced Random Access
• [cs.IT]The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery
• [cs.LG]Estimating the effective dimension of large biological datasets using Fisher separability analysis
• [cs.LG]Gromov-Wasserstein Learning for Graph Matching and Node Embedding
• [cs.LG]On-Policy Trust Region Policy Optimisation with Replay Buffers
• [cs.LG]Protein Classification using Machine Learning and Statistical Techniques: A Comparative Analysis
• [cs.LG]Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent
• [cs.LG]Robust Anomaly Detection in Images using Adversarial Autoencoders
• [cs.LG]TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
• [cs.LG]Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
• [cs.LG]WALL-E: An Efficient Reinforcement Learning Research Framework
• [cs.NE]Infeasibility and structural bias in Differential Evolution
• [cs.NE]Optimizing Deep Neural Networks with Multiple Search Neuroevolution
• [cs.NE]Predicting Performance using Approximate State Space Model for Liquid State Machines
• [cs.NI]Scheduling Jobs with Random Resource Requirements in Computing Clusters
• [cs.RO]Look before you sweep: Visibility-aware motion planning
• [cs.SI]Characterizing the Use of Images by State-Sponsored Troll Accounts on Twitter
• [math.NA]FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups
• [physics.comp-ph]Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
• [quant-ph]Entanglement-Assisted Quantum Data Compression
• [stat.ME]A Random Forest Approach for Modeling Bounded Outcomes
• [stat.ME]A robust functional time series forecasting method
• [stat.ML]Kernel Change-point Detection with Auxiliary Deep Generative Models
• [stat.ML]Nonconvex Rectangular Matrix Completion via Gradient Descent without Regularization
• [stat.ML]Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model
• [stat.ML]Probabilistic symmetry and invariant neural networks
• [stat.ML]Splitting Methods for Convex Bi-Clustering and Co-Clustering
·····································
• [cs.AI]Block Argumentation
Ryuta Arisaka, Stefano Bistarelli, Francesco Santini
http://arxiv.org/abs/1901.06378v1
• [cs.AI]Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum
http://arxiv.org/abs/1901.06085v1
• [cs.CL]Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages
Theresa Breiner, Chieu Nguyen, Daan van Esch, Jeremy O'Brien
http://arxiv.org/abs/1901.06039v1
• [cs.CL]Chinese Word Segmentation: Another Decade Review (2007-2017)
Hai Zhao, Deng Cai, Changning Huang, Chunyu Kit
http://arxiv.org/abs/1901.06079v1
• [cs.CL]Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction
Yijia Zhang, Zhiyong Lu
http://arxiv.org/abs/1901.06103v1
• [cs.CL]Improving Sequence-to-Sequence Learning via Optimal Transport
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
http://arxiv.org/abs/1901.06283v1
• [cs.CV]Adapting Convolutional Neural Networks for Geographical Domain Shift
Pavel Ostyakov, Sergey I. Nikolenko
http://arxiv.org/abs/1901.06345v1
• [cs.CV]Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi
http://arxiv.org/abs/1901.06140v1
• [cs.CV]CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint
Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang
http://arxiv.org/abs/1901.06111v1
• [cs.CV]DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
Sheng He, Lambert Schomaker
http://arxiv.org/abs/1901.06081v1
• [cs.CV]Embedded CNN based vehicle classification and counting in non-laned road traffic
Mayank Singh Chauhan, Arshdeep Singh, Mansi Khemka, Arneish Prateek, Rijurekha Sen
http://arxiv.org/abs/1901.06358v1
• [cs.CV]Fast High-Dimensional Kernel Filtering
Pravin Nair, Kunal N. Chaudhury
http://arxiv.org/abs/1901.06112v1
• [cs.CV]Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang, Lei Zhang, Sijia Yu, Danil Prokhorov, Xue Mei, Haibin Ling
http://arxiv.org/abs/1901.06340v1
• [cs.CV]Generative Adversarial Classifier for Handwriting Characters Super-Resolution
Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang
http://arxiv.org/abs/1901.06199v1
• [cs.CV]Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Wei Sun, Tianfu Wu
http://arxiv.org/abs/1901.06322v1
• [cs.CV]Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration
Unni V. S., Sanjay Ghosh, Kunal N. Chaudhury
http://arxiv.org/abs/1901.06110v1
• [cs.CV]Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification
Weitao Feng, Zhihao Hu, Wei Wu, Junjie Yan, Wanli Ouyang
http://arxiv.org/abs/1901.06129v1
• [cs.CV]Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks
Oleksandr Bailo, DongShik Ham, Young Min Shin
http://arxiv.org/abs/1901.06219v1
• [cs.CV]ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
http://arxiv.org/abs/1901.06359v1
• [cs.CY]An Empirical Survey on Co-simulation: Promising Standards, Challenges and Research Needs
Gerald Schweiger, Claudio Gomes, Georg Engel, Josef-Peter Schoeggl, Alfred Posch, Irene Hafner, Thierry Nouidu
http://arxiv.org/abs/1901.06262v1
• [cs.CY]TEduChain: A Platform for Crowdsourcing Tertiary Education Fund using Blockchain Technology
Mahmood A. Rashid, Krishneel Deo, Divnesh Prasad, Kunal Singh, Sarvesh Chand, Mansour Assaf
http://arxiv.org/abs/1901.06327v1
• [cs.DC]An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System
Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Martin Golasowski, Joao Bispo, Pedro Pinto, Jan Martinovic, Katerina Slaninova, Joao M. P. Cardoso, Cristina Silvano
http://arxiv.org/abs/1901.06210v1
• [cs.DC]Are Smart Contracts and Blockchains Suitable for Decentralized Railway Control?
Michael Kuperberg, Daniel Kindler, Sabina Jeschke
http://arxiv.org/abs/1901.06236v1
• [cs.DC]Cloud Resource Optimization for Processing Multiple Streams of Visual Data
Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
http://arxiv.org/abs/1901.06347v1
• [cs.DC]Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes
Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Andrea Beccari, Carlo Cavazzoni, Cristina Silvano
http://arxiv.org/abs/1901.06229v1
• [cs.DC]Heterogeneous FPGA+GPU Embedded Systems: Challenges and Opportunities
Mohammad Hosseinabady, Mohd Amiruddin Bin Zainol, Jose Nunez-Yanez
http://arxiv.org/abs/1901.06331v1
• [cs.DC]On-line Application Autotuning Exploiting Ensemble Models
Tomas Martinovic, Davide Gadioli, Gianluca Palermo, Cristina Silvano
http://arxiv.org/abs/1901.06228v1
• [cs.DC]The ANTAREX Domain Specific Language for High Performance Computing
Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. Beccari, Luca Benini, Loïc Besnard, João Bispo, Radim Cmar, João M. P. Cardoso, Carlo Cavazzoni, Daniele Cesarini, Stefano Cherubin, Federico Ficarelli, Davide Gadioli, Martin Golasowski, Antonio Libri, Jan Martinovič, Gianluca Palermo, Pedro Pinto, Erven Rohou, Kateřina Slaninová, Emanuele Vitali
http://arxiv.org/abs/1901.06175v1
• [cs.DC]Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App
Davide Gadioli, Gianluca Palermo, Stefano Cherubin, Emanuele Vitali, Giovanni Agosta, Candida Manelfi, Andrea R. Beccari, Carlo Cavazzoni, Nico Sanna, Cristina Silvano
http://arxiv.org/abs/1901.06363v1
• [cs.DS]Accelerated Experimental Design for Pairwise Comparisons
Yuan Guo, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
http://arxiv.org/abs/1901.06080v1
• [cs.GT]Computing Optimal Coarse Correlated Equilibria in Sequential Games
Andrea Celli, Stefano Coniglio, Nicola Gatti
http://arxiv.org/abs/1901.06221v1
• [cs.GT]Computing large market equilibria using abstractions
Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolas E. Stier-Moses
http://arxiv.org/abs/1901.06230v1
• [cs.IR]Cold-start Playlist Recommendation with Multitask Learning
Dawei Chen, Cheng Soon Ong, Aditya Krishna Menon
http://arxiv.org/abs/1901.06125v1
• [cs.IR]Identifying Unclear Questions in Community Question Answering Websites
Jan Trienes, Krisztian Balog
http://arxiv.org/abs/1901.06168v1
• [cs.IR]Ranking Online Consumer Reviews
Sunil Saumya, Jyoti Prakash Singh, Abdullah Mohammed Baabdullah, Nripendra P. Rana, Yogesh k. Dwivedi
http://arxiv.org/abs/1901.06274v1
• [cs.IT]A Note on the Transformation to Enable Optimal Repair in MDS Codes for Distributed Storage Systems
Jie Li, Xiaohu Tang
http://arxiv.org/abs/1901.06067v1
• [cs.IT]An information theoretic model for summarization, and some basic results
Eric Graves, Qiang Ning, Prithwish Basu
http://arxiv.org/abs/1901.06376v1
• [cs.IT]Array Pattern Synthesis: A Tighter Robust Model and ADMM-Based Solution
Jintai Yang, Jingran Lin, Qingjiang Shi, Qiang Li
http://arxiv.org/abs/1901.06089v1
• [cs.IT]Cocktail BPSK: Achievable Data Rate beyond Channel Capacity
Bingli Jiao, Yuli Yang, Mingxi Yin
http://arxiv.org/abs/1901.06122v1
• [cs.IT]Coded Caching based on Combinatorial Designs
Shailja Agrawal, K V Sushena Sree, Prasad Krishnan
http://arxiv.org/abs/1901.06383v1
• [cs.IT]Degrees of Freedom Region of the MIMO Broadcast Channel with Partial CSIT: An Application of Sum-set Inequalities Based on Aligned Image Sets
Arash Gholami Davoodi, Syed A. Jafar
http://arxiv.org/abs/1901.06010v1
• [cs.IT]Gambling and Rényi Divergence
Cédric Bleuler, Amos Lapidoth, Christoph Pfister
http://arxiv.org/abs/1901.06278v1
• [cs.IT]Massive Random Access with Common Alarm Messages
Kristoffer Stern, Anders E. Kalør, Beatriz Soret, Petar Popovski
http://arxiv.org/abs/1901.06339v1
• [cs.IT]Modular design to transform codes for the wiretap channel of type I into codes for the wiretap channel of type II
Eric Graves, Allison Beemer
http://arxiv.org/abs/1901.06377v1
• [cs.IT]On Distance Properties of Convolutional Polar Codes
Ruslan Morozov, Peter Trifonov
http://arxiv.org/abs/1901.06341v1
• [cs.IT]On Epsilon-MSCR Codes for Two Erasures
Bh. Rekha Devi, V. Lalitha
http://arxiv.org/abs/1901.06336v1
• [cs.IT]On Estimation under Noisy Order Statistics
Alex Dytso, Martina Cardone, Mishfad S. Veedu, H. Vincent Poor
http://arxiv.org/abs/1901.06294v1
• [cs.IT]On the Achievable Rate of a Sample-based Practical Photon-counting Receiver
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
http://arxiv.org/abs/1901.06218v1
• [cs.IT]Optimal Space-Time Block Code Designs Based on Irreducible Polynomials of Degree Two
Carina Alves, Eliton M. Moro
http://arxiv.org/abs/1901.06200v1
• [cs.IT]Outage in Motorway Multi-Lane VANETs with Hardcore Headway Distance Using Synthetic Traces
Konstantinos Koufos, Carl P. Dettmann
http://arxiv.org/abs/1901.06368v1
• [cs.IT]Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks
Ha-Vu Tran, Georges Kaddoum
http://arxiv.org/abs/1901.05999v1
• [cs.IT]SPARCs for Unsourced Random Access
Alexander Fengler, Peter Jung, Giuseppe Caire
http://arxiv.org/abs/1901.06234v1
• [cs.IT]The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery
Niklas Koep, Arash Behboodi, Rudolf Mathar
http://arxiv.org/abs/1901.06214v1
• [cs.LG]Estimating the effective dimension of large biological datasets using Fisher separability analysis
Luca Albergante, Jonathan Bac, Andrei Zinovyev
http://arxiv.org/abs/1901.06328v1
• [cs.LG]Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
http://arxiv.org/abs/1901.06003v1
• [cs.LG]On-Policy Trust Region Policy Optimisation with Replay Buffers
Dmitry Kangin, Nicolas Pugeault
http://arxiv.org/abs/1901.06212v1
• [cs.LG]Protein Classification using Machine Learning and Statistical Techniques: A Comparative Analysis
Chhote Lal Prasad Gupta, Anand Bihari, Sudhakar Tripathi
http://arxiv.org/abs/1901.06152v1
• [cs.LG]Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent
Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan
http://arxiv.org/abs/1901.06054v1
• [cs.LG]Robust Anomaly Detection in Images using Adversarial Autoencoders
Laura Beggel, Michael Pfeiffer, Bernd Bischl
http://arxiv.org/abs/1901.06355v1
• [cs.LG]TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano, Pablo Gil, Jose Garcia-Rodriguez
http://arxiv.org/abs/1901.06181v1
• [cs.LG]Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
Uzair Ahmed, Asifullah Khan, Saddam Hussain Khan, Abdul Basit, Irfan Ul Haq, Yeon Soo Lee
http://arxiv.org/abs/1901.06091v1
• [cs.LG]WALL-E: An Efficient Reinforcement Learning Research Framework
Tianbing Xu, Andrew Zhang, Liang Zhao
http://arxiv.org/abs/1901.06086v1
• [cs.NE]Infeasibility and structural bias in Differential Evolution
Fabio Caraffini, Anna V. Kononova, David Corne
http://arxiv.org/abs/1901.06153v1
• [cs.NE]Optimizing Deep Neural Networks with Multiple Search Neuroevolution
Ahmed Aly, David Weikersdorfer, Claire Delaunay
http://arxiv.org/abs/1901.05988v1
• [cs.NE]Predicting Performance using Approximate State Space Model for Liquid State Machines
Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly
http://arxiv.org/abs/1901.06240v1
• [cs.NI]Scheduling Jobs with Random Resource Requirements in Computing Clusters
Konstantinos Psychas, Javad Ghaderi
http://arxiv.org/abs/1901.05998v1
• [cs.RO]Look before you sweep: Visibility-aware motion planning
Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez
http://arxiv.org/abs/1901.06109v1
• [cs.SI]Characterizing the Use of Images by State-Sponsored Troll Accounts on Twitter
Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn
http://arxiv.org/abs/1901.05997v1
• [math.NA]FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups
Bastian Seifert
http://arxiv.org/abs/1901.06254v1
• [physics.comp-ph]Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris
http://arxiv.org/abs/1901.06314v1
• [quant-ph]Entanglement-Assisted Quantum Data Compression
Zahra Baghali Khanian, Andreas Winter
http://arxiv.org/abs/1901.06346v1
• [stat.ME]A Random Forest Approach for Modeling Bounded Outcomes
Leonie Weinhold, Matthias Schmid, Marvin N. Wright, Moritz Berger
http://arxiv.org/abs/1901.06211v1
• [stat.ME]A robust functional time series forecasting method
Han Lin Shang
http://arxiv.org/abs/1901.06030v1
• [stat.ML]Kernel Change-point Detection with Auxiliary Deep Generative Models
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
http://arxiv.org/abs/1901.06077v1
• [stat.ML]Nonconvex Rectangular Matrix Completion via Gradient Descent without Regularization
Ji Chen, Dekai Liu, Xiaodong Li
http://arxiv.org/abs/1901.06116v1
• [stat.ML]Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model
Giovanni Di Gennaro, Amedeo Buonanno, Francesco A. N. Palmieri
http://arxiv.org/abs/1901.06201v1
• [stat.ML]Probabilistic symmetry and invariant neural networks
Benjamin Bloem-Reddy, Yee Whye Teh
http://arxiv.org/abs/1901.06082v1
• [stat.ML]Splitting Methods for Convex Bi-Clustering and Co-Clustering
Michael Weylandt
http://arxiv.org/abs/1901.06075v1
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