Statistics

Authors and titles for April 2020

[1101] arXiv:2004.09578 (cross-list from cs.LG) [pdf, other]

Title: CLOPS: Continual Learning of Physiological Signals

Dani Kiyasseh, Tingting Zhu, David A. Clifton

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1102] arXiv:2004.09579 (cross-list from eess.SY) [pdf, other]

Title: Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding

Qingchun Hou, Ning Zhang, Daniel S. Kirschen, Ershun Du, Yaohua Cheng, Chongqing Kang

Comments: 8 pages, 6 figures

Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1103] arXiv:2004.09589 (cross-list from cs.LG) [pdf, other]

Title: Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities

Timothy Chu, Gary L. Miller, Noel J. Walkington, Alex L. Wang

Subjects: Machine Learning (cs.LG); Discrete Mathematics (cs.DM); Machine Learning (stat.ML)

[1104] arXiv:2004.09602 (cross-list from cs.LG) [pdf, other]

Title: Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius

Comments: 20 pages, 7 figures

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1105] arXiv:2004.09608 (cross-list from cs.LG) [pdf, other]

Title: Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance

K. Fountoulakis, M. Liu, D. F. Gleich, M. W. Mahoney

Comments: 75 Pages, 21 Figures

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[1106] arXiv:2004.09612 (cross-list from cs.LG) [pdf, other]

Title: A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting

Carla Gonçalves, Ricardo J. Bessa, Pierre Pinson

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1107] arXiv:2004.09627 (cross-list from econ.EM) [pdf, other]

Title: Inference by Stochastic Optimization: A Free-Lunch Bootstrap

Jean-Jacques Forneron, Serena Ng

Subjects: Econometrics (econ.EM); Statistics Theory (math.ST)

[1108] arXiv:2004.09628 (cross-list from cs.LG) [pdf, other]

Title: Two-Level Lattice Neural Network Architectures for Control of Nonlinear Systems

James Ferlez, Xiaowu Sun, Yasser Shoukry

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Optimization and Control (math.OC); Machine Learning (stat.ML)

[1109] arXiv:2004.09656 (cross-list from cs.LG) [pdf, other]

Title: Tightening Exploration in Upper Confidence Reinforcement Learning

Hippolyte Bourel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi

Comments: Appeared in Proceedings of the 27th International Conference on Machine Learning (ICML 2020). This is an improved post-proceeding version correcting minor errors

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML)

[1110] arXiv:2004.09660 (cross-list from math.OC) [pdf, other]

Title: Data-Driven Optimization for Police Beat Design in South Fulton, Georgia

Shixiang Zhu, Alexander W. Bukharin, Le Lu, He Wang, Yao Xie

Subjects: Optimization and Control (math.OC); Applications (stat.AP)

[1111] arXiv:2004.09665 (cross-list from cs.LG) [pdf, other]

Title: Local Clustering with Mean Teacher for Semi-supervised Learning

Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai

Comments: 8 pages, 7 figures

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1112] arXiv:2004.09677 (cross-list from cs.LG) [pdf, other]

Title: Approximate exploitability: Learning a best response in large games

Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1113] arXiv:2004.09691 (cross-list from cs.LG) [pdf, other]

Title: A Data and Compute Efficient Design for Limited-Resources Deep Learning

Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling

Comments: Accepted for poster presentation at the Practical Machine Learning for Developing Countries (PML4DC) workshop, ICLR 2020

Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV); Machine Learning (stat.ML)

[1114] arXiv:2004.09702 (cross-list from cs.LG) [pdf, other]

Title: Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing

Will Y. Zou, Shuyang Du, James Lee, Jan Pedersen

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1115] arXiv:2004.09703 (cross-list from cs.LG) [pdf, other]

Title: Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects

Will Y. Zou, Smitha Shyam, Michael Mui, Mingshi Wang, Jan Pedersen, Zoubin Ghahramani

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1116] arXiv:2004.09710 (cross-list from cs.LG) [pdf, other]

Title: Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions

Gianlucca Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani

Comments: IJCNN-2020. July 19-24th, 2020. Glasgow (UK)

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1117] arXiv:2004.09721 (cross-list from cs.SI) [pdf, other]

Title: Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews

Viet Trinh, Vikrant More, Samira Zare, Sheideh Homayon

Comments: 5 pages, 3 figures, 3 tables

Subjects: Social and Information Networks (cs.SI); Information Retrieval (cs.IR); Machine Learning (stat.ML)

[1118] arXiv:2004.09735 (cross-list from cs.LG) [pdf, other]

Title: On the Compressive Power of Boolean Threshold Autoencoders

Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu

Comments: 13 pages, 3 figures, 1 table

Journal-ref: IEEE Transactions on Neural Networks and Learning Systems, 2021

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1119] arXiv:2004.09740 (cross-list from cs.LG) [pdf, other]

Title: AdaX: Adaptive Gradient Descent with Exponential Long Term Memory

Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1120] arXiv:2004.09748 (cross-list from eess.SY) [pdf, other]

Title: Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis

Timothy L. Molloy

Comments: 19 pages, 2 figures, Accepted for publication in IEEE Transactions on Automatic Control

Subjects: Systems and Control (eess.SY); Statistics Theory (math.ST)

[1121] arXiv:2004.09756 (cross-list from eess.SY) [pdf, other]

Title: An adaptive neuro-fuzzy model for attitude estimation and 2 control a 3 DOF system

Xin Wang, SeyedMehdi Abtahi, Mahmood Chahari, Tianyu Zhao

Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1122] arXiv:2004.09764 (cross-list from cs.LG) [pdf, other]

Title: Discrete Variational Attention Models for Language Generation

Xianghong Fang, Haoli Bai, Zenglin Xu, Michael Lyu, Irwin King

Comments: 7 pages, 3 figures

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)

[1123] arXiv:2004.09770 (cross-list from econ.EM) [pdf, other]

Title: Revealing Cluster Structures Based on Mixed Sampling Frequencies

Yeonwoo Rho, Yun Liu, Hie Joo Ahn

Subjects: Econometrics (econ.EM); Methodology (stat.ME)

[1124] arXiv:2004.09788 (cross-list from eess.IV) [pdf, other]

Title: Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI

Jinyoung Kim, Remi Patriat, Jordan Kaplan, Oren Solomon, Noam Harel

Comments: 56 pages (one column), 13 figures, 5 tables, supplementary materials, Accepted for publication in IEEE Access

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1125] arXiv:2004.09808 (cross-list from cs.LG) [pdf, other]

Title: Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks

Chaojie Ji, Ruxin Wang, Hongyan Wu

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1126] arXiv:2004.09820 (cross-list from cs.LG) [pdf, other]

Title: Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets

Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang

Comments: 10 pages, 4 figures

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1127] arXiv:2004.09845 (cross-list from cs.LG) [pdf, other]

Title: LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition

Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng

Comments: Accepted as a conference paper in IPCAI 2020

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1128] arXiv:2004.09846 (cross-list from cs.LG) [pdf, other]

Title: SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning

Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar

Comments: 7 pages, 10 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1129] arXiv:2004.09863 (cross-list from cs.LG) [pdf, other]

Title: A novel embedded min-max approach for feature selection in nonlinear support vector machine classification

Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda

Comments: Published at European Journal of Operational Research

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[1130] arXiv:2004.09900 (cross-list from cs.LG) [pdf, other]

Title: An RNN-Survival Model to Decide Email Send Times

Harvineet Singh, Moumita Sinha, Atanu R. Sinha, Sahil Garg, Neha Banerjee

Comments: 11 pages, 3 figures, 2 tables

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1131] arXiv:2004.09931 (cross-list from cs.AI) [pdf, other]

Title: Knowledge Refactoring for Inductive Program Synthesis

Sebastijan Dumancic, Tias Guns, Andrew Cropper

Comments: 7 pages, 6 figures

Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1132] arXiv:2004.09986 (cross-list from cs.AI) [pdf, other]

Title: EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams -- With Application to Power Quality Disturbance Detection and Classification

Daniel Leite, Leticia Decker, Marcio Santana, Paulo Souza

Comments: 10 pages, 6 figures, 1 table, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020)

Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)

[1133] arXiv:2004.10019 (cross-list from cs.LG) [pdf, other]

Title: Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition

Zihan Zhang, Yuan Zhou, Xiangyang Ji

Comments: 26 pages

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[1134] arXiv:2004.10076 (cross-list from cs.LG) [pdf, other]

Title: Tensor Networks for Medical Image Classification

Raghavendra Selvan, Erik B Dam

Comments: Accepted for publication at International Conference on Medical Imaging with Deep Learning (MIDL), 2020. Reviews on Openreview here: this https URL

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1135] arXiv:2004.10098 (cross-list from cs.LG) [pdf, other]

Title: Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors

Nikhil Mehta, Kevin J Liang, Vinay K Verma, Lawrence Carin

Comments: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 Post-conference updates: Fixed typo in equation (11) and updated references

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1136] arXiv:2004.10126 (cross-list from cs.LG) [pdf, other]

Title: Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation

Takato Yasuno

Comments: 15pages, 12 figures

Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV); Machine Learning (stat.ML)

[1137] arXiv:2004.10130 (cross-list from cs.CV) [pdf, other]

Title: Natural Disaster Classification using Aerial Photography Explainable for Typhoon Damaged Feature

Takato Yasuno, Masazumi Amakata, Masahiro Okano

Comments: 10pages, 5figures

Journal-ref: ICPR2020 Workshops and Challenges (forthcoming on 10 January 2021)

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Machine Learning (stat.ML)

[1138] arXiv:2004.10162 (cross-list from cs.LG) [pdf, other]

Title: EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Sanchari Sen, Balaraman Ravindran, Anand Raghunathan

Comments: Published as a conference paper at ICLR 2020

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1139] arXiv:2004.10170 (cross-list from cs.LG) [pdf, other]

Title: A Mathematical Programming approach to Binary Supervised Classification with Label Noise

Víctor Blanco, Alberto Japón, Justo Puerto

Comments: 17 pages, 5 figures, 2 tables

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[1140] arXiv:2004.10178 (cross-list from cs.LG) [pdf, other]

Title: Forecasting directional movements of stock prices for intraday trading using LSTM and random forests

Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo

Subjects: Machine Learning (cs.LG); Statistical Finance (q-fin.ST); Machine Learning (stat.ML)

[1141] arXiv:2004.10188 (cross-list from cs.CL) [pdf, other]

Title: Residual Energy-Based Models for Text

Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

Comments: long journal version

Journal-ref: Journal of Machine Learning Research 21 (2020) 1-41

Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1142] arXiv:2004.10190 (cross-list from cs.LG) [pdf, other]

Title: Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning

Ryan Julian, Benjamin Swanson, Gaurav S. Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman

Comments: 8.5 pages, 9 figures. See video overview and experiments at this https URL and project website at this https URL

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Robotics (cs.RO); Machine Learning (stat.ML)

[1143] arXiv:2004.10240 (cross-list from cs.LG) [pdf, other]

Title: Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle Maddix, Caner Turkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Francois-Xavier Aubet, Laurent Callot, Tim Januschowski

Comments: 33 pages, 6 figures

Journal-ref: ACM Computing Surveys (2022)

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1144] arXiv:2004.10245 (cross-list from cs.LG) [pdf, other]

Title: On-the-Fly Joint Feature Selection and Classification

Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1145] arXiv:2004.10250 (cross-list from cs.LG) [pdf, other]

Title: Certifying Joint Adversarial Robustness for Model Ensembles

Mainuddin Ahmad Jonas, David Evans

Comments: Open source code for our implementation and for reproducing our experiments is available at this https URL

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML)

[1146] arXiv:2004.10267 (cross-list from cs.LG) [pdf, other]

Title: Decomposed Adversarial Learned Inference

Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1147] arXiv:2004.10281 (cross-list from cs.LG) [pdf, other]

Title: Probabilistic Safety for Bayesian Neural Networks

Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska

Comments: UAI 2020; 13 pages, 5 figures, 1 table

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1148] arXiv:2004.10291 (cross-list from q-bio.PE) [pdf, other]

Title: Estimaci\'on del n\'umero de reproducci\'on de la epidemia COVID-19 en Culiac\'an Sinaloa, M\'exico

Martín H. Félix-Medina

Comments: 12 pages, 7 figures, in Spanish

Subjects: Populations and Evolution (q-bio.PE); Applications (stat.AP)

[1149] arXiv:2004.10342 (cross-list from cs.LG) [pdf, other]

Title: Federated Learning with Only Positive Labels

Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1150] arXiv:2004.10356 (cross-list from cs.LG) [pdf, other]

Title: Quantifying With Only Positive Training Data

Denis dos Reis, Marcílio de Souto, Elaine de Sousa, Gustavo Batista

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)