Machine Learning

Authors and titles for September 2021

[601] arXiv:2109.09832 [pdf, other]

Title: Weak Signals in the Mobility Landscape: Car Sharing in Ten European Cities

Chiara Boldrini, Raffaele Bruno, Haitam Laarabi

Comments: This work was partially funded by the ESPRIT, REPLICATE and SoBigData projects, which have received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 653395, No 691735, and No 654024, respectively. arXiv admin note: text overlap with arXiv:1708.00497

Journal-ref: EPJ Data Sci. 8, 7 (2019)

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)

[602] arXiv:2109.09833 [pdf, other]

Title: Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang

Comments: 18 pages

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

[603] arXiv:2109.09847 [pdf, other]

Title: Fast TreeSHAP: Accelerating SHAP Value Computation for Trees

Jilei Yang

Comments: 22 pages (including 10-page appendix), 2 figures

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

[604] arXiv:2109.09855 [pdf, other]

Title: Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits

Guojun Xiong, Jian Li, Rahul Singh

Comments: Appeared in AAAI 2022 with title "Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits"

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

[605] arXiv:2109.09856 [pdf, other]

Title: SFFDD: Deep Neural Network with Enriched Features for Failure Prediction with Its Application to Computer Disk Driver

Lanfa Frank Wang, Danjue Li

Comments: 11 pages, 20 figures

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

[606] arXiv:2109.09868 [pdf, other]

Title: ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems

Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT)

[607] arXiv:2109.09869 [pdf, other]

Title: Robustness Analysis of Deep Learning Frameworks on Mobile Platforms

Amin Eslami Abyane, Hadi Hemmati

Subjects: Machine Learning (cs.LG); Software Engineering (cs.SE)

[608] arXiv:2109.09876 [pdf, other]

Title: Context-Specific Representation Abstraction for Deep Option Learning

Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

Comments: Accepted at AAAI 2022

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

[609] arXiv:2109.09888 [pdf, other]

Title: Chemical-Reaction-Aware Molecule Representation Learning

Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke

Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Quantitative Methods (q-bio.QM)

[610] arXiv:2109.09889 [pdf, html, other]

Title: A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning

Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller

Comments: 19 pages, 21 figures

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

[611] arXiv:2109.09901 [pdf, other]

Title: Modeling Adversarial Noise for Adversarial Training

Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu

Subjects: Machine Learning (cs.LG)

[612] arXiv:2109.09917 [pdf, other]

Title: Meta-Model Structure Selection: Building Polynomial NARX Model for Regression and Classification

W. R. Lacerda Junior, S. A. M. Martins, E. G. Nepomuceno

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

[613] arXiv:2109.09948 [pdf, html, other]

Title: Neural networks with trainable matrix activation functions

Zhengqi Liu, Shuhao Cao, Yuwen Li, Ludmil Zikatanov

Subjects: Machine Learning (cs.LG)

[614] arXiv:2109.09958 [pdf, other]

Title: FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants

Yanjiao Chen, Yijie Bai, Richard Mitev, Kaibo Wang, Ahmad-Reza Sadeghi, Wenyuan Xu

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

[615] arXiv:2109.09975 [pdf, other]

Title: Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures

Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams

Comments: Accepted at Autonomous Robots. Author version, with 11 pages, 5 figures, 2 tables. Journal extension of "Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures" (Wang et al. RSS 2020, arXiv:2005.13458)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)

[616] arXiv:2109.10020 [pdf, other]

Title: Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks

Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang

Comments: 10 pages

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

[617] arXiv:2109.10021 [pdf, other]

Title: Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning

Alexey Kutalev, Alisa Lapina

Comments: 16 pages, 7 figures

Subjects: Machine Learning (cs.LG)

[618] arXiv:2109.10034 [pdf, other]

Title: Learning offline: memory replay in biological and artificial reinforcement learning

Emma L. Roscow, Raymond Chua, Rui Ponte Costa, Matt W. Jones, Nathan Lepora

Comments: In press at Trends in Neurosciences

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC)

[619] arXiv:2109.10047 [pdf, other]

Title: Search For Deep Graph Neural Networks

Guosheng Feng, Chunnan Wang, Hongzhi Wang

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

[620] arXiv:2109.10053 [pdf, other]

Title: Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making

Yi Yang, Ying Wu, Mei Li, Xiangyu Chang, Yong Tan

Subjects: Machine Learning (cs.LG); Methodology (stat.ME)

[621] arXiv:2109.10061 [pdf, other]

Title: Graph Neural Networks for Graph Drawing

Matteo Tiezzi, Gabriele Ciravegna, Marco Gori

Comments: Accepted for publication in IEEE Transaction of Neural Networks and Learning Systems (TNNLS) 2022, Special Issue on Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications

Subjects: Machine Learning (cs.LG)

[622] arXiv:2109.10072 [pdf, other]

Title: Scenario generation for market risk models using generative neural networks

Solveig Flaig, Gero Junike

Journal-ref: Risks 10.11 (2022): 199

Subjects: Machine Learning (cs.LG); Mathematical Finance (q-fin.MF); Risk Management (q-fin.RM)

[623] arXiv:2109.10082 [pdf, other]

Title: DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series

Błażej Leporowski, Casper Hansen, Alexandros Iosifidis

Subjects: Machine Learning (cs.LG)

[624] arXiv:2109.10096 [pdf, other]

Title: Transferability of Graph Neural Networks: an Extended Graphon Approach

Sohir Maskey, Ron Levie, Gitta Kutyniok

Comments: Preprint in Review

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[625] arXiv:2109.10100 [pdf, other]

Title: A Novel Structured Natural Gradient Descent for Deep Learning

Weihua Liu, Xiabi Liu

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

[626] arXiv:2109.10119 [pdf, other]

Title: mGNN: Generalizing the Graph Neural Networks to the Multilayer Case

Marco Grassia, Manlio De Domenico, Giuseppe Mangioni

Comments: Submitted to the IEEE Computer Society

Subjects: Machine Learning (cs.LG); Physics and Society (physics.soc-ph)

[627] arXiv:2109.10162 [pdf, other]

Title: Learning low-degree functions from a logarithmic number of random queries

Alexandros Eskenazis, Paata Ivanisvili

Subjects: Machine Learning (cs.LG); Functional Analysis (math.FA); Machine Learning (stat.ML)

[628] arXiv:2109.10173 [pdf, other]

Title: Long-Term Exploration in Persistent MDPs

Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov

Comments: This is a preprint of the paper accepted to MICAI 2021. It contains 13 pages and 6 figures

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

[629] arXiv:2109.10219 [pdf, other]

Title: Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy

Chi Zhang, Chaolin Song, Abdollah Shafieezadeh

Journal-ref: Structural Safety, Volume 94, January 2022, 102141

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

[630] arXiv:2109.10252 [pdf, other]

Title: Audiomer: A Convolutional Transformer For Keyword Spotting

Surya Kant Sahu, Sai Mitheran, Juhi Kamdar, Meet Gandhi

Comments: The results and claims made are incorrect due to data leakage and an erroneous split of datasets

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[631] arXiv:2109.10253 [pdf, other]

Title: Short-term traffic prediction using physics-aware neural networks

Mike Pereira, Annika Lang, Balázs Kulcsár

Comments: 17 pages, 11 figures, 2 tables

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)

[632] arXiv:2109.10254 [pdf, other]

Title: Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification

Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger

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

[633] arXiv:2109.10259 [pdf, other]

Title: AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang

Comments: Accepted by AAAI 2022

Subjects: Machine Learning (cs.LG)

[634] arXiv:2109.10266 [pdf, other]

Title: Comparison of single and multitask learning for predicting cognitive decline based on MRI data

Vandad Imani, Mithilesh Prakash, Marzieh Zare, Jussi Tohka

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

[635] arXiv:2109.10279 [pdf, other]

Title: Ranking Feature-Block Importance in Artificial Multiblock Neural Networks

Anna Jenul, Stefan Schrunner, Bao Ngoc Huynh, Runar Helin, Cecilia Marie Futsæther, Kristian Hovde Liland, Oliver Tomic

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

[636] arXiv:2109.10298 [pdf, other]

Title: Assured Neural Network Architectures for Control and Identification of Nonlinear Systems

James Ferlez, Yasser Shoukry

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

[637] arXiv:2109.10304 [pdf, other]

Title: Learning PAC-Bayes Priors for Probabilistic Neural Networks

Maria Perez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler

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

[638] arXiv:2109.10317 [pdf, other]

Title: Introduction to Neural Network Verification

Aws Albarghouthi

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Programming Languages (cs.PL)

[639] arXiv:2109.10380 [pdf, other]

Title: Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach

Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil

Comments: this https URL

Journal-ref: Transactions on Machine Learning Research, 2022

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

[640] arXiv:2109.10431 [pdf, other]

Title: Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values

Haewon Jeong, Hao Wang, Flavio P. Calmon

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Information Theory (cs.IT); Machine Learning (stat.ML)

[641] arXiv:2109.10432 [pdf, other]

Title: Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles

Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy

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

[642] arXiv:2109.10436 [pdf, other]

Title: Classification with Nearest Disjoint Centroids

Nicolas Fraiman, Zichao Li

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

[643] arXiv:2109.10442 [pdf, other]

Title: Selecting Datasets for Evaluating an Enhanced Deep Learning Framework

Kudakwashe Dandajena, Isabella M. Venter, Mehrdad Ghaziasgar, Reg Dodds

Comments: 5 pages, 2 figures, Submitted to SATNAC 2021, Drakensberg, South Africa

Subjects: Machine Learning (cs.LG)

[644] arXiv:2109.10458 [pdf, other]

Title: Achieving Counterfactual Fairness for Causal Bandit

Wen Huang, Lu Zhang, Xintao Wu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

[645] arXiv:2109.10469 [pdf, other]

Title: Differentiable Scaffolding Tree for Molecular Optimization

Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun

Subjects: Machine Learning (cs.LG)

[646] arXiv:2109.10476 [pdf, other]

Title: Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules

Steve Kommrusch, Martin Monperrus, Louis-Noël Pouchet

Comments: 30 pages including appendix

Journal-ref: IEEE Transactions on Software Engineering, 2023

Subjects: Machine Learning (cs.LG); Programming Languages (cs.PL)

[647] arXiv:2109.10490 [pdf, other]

Title: Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning

Junjie Wang, Qichao Zhang, Dongbin Zhao

Comments: 10 pages, 5 figures, 3 tables

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

[648] arXiv:2109.10502 [pdf, other]

Title: A Spectral Approach to Off-Policy Evaluation for POMDPs

Yash Nair, Nan Jiang

Subjects: Machine Learning (cs.LG)

[649] arXiv:2109.10512 [pdf, other]

Title: Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis

Zeyuan Yin, Ye Yuan, Panfeng Guo, Pan Zhou

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

[650] arXiv:2109.10535 [pdf, other]

Title: Cram\'er-Rao bound-informed training of neural networks for quantitative MRI

Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer

Comments: Xiaoxia Zhang, Quentin Duchemin, and Kangning Liu contributed equally to this work

Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV); Medical Physics (physics.med-ph)