Machine Learning

Authors and titles for September 2021

[351] arXiv:2109.05899 [pdf, other]

Title: Online Learning of Optimally Diverse Rankings

Stefan Magureanu, Alexandre Proutiere, Marcus Isaksson, Boxun Zhang

Comments: 26 pages, 4 Figures, accepted in ACM SIGMETRICS 2018

Journal-ref: Proceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 1, Issue 2, December 2017, Article No 32

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

[352] arXiv:2109.05935 [pdf, other]

Title: Modeling Systems with Machine Learning based Differential Equations

Pedro Garcia

Subjects: Machine Learning (cs.LG)

[353] arXiv:2109.05948 [pdf, other]

Title: A deep learning guided memetic framework for graph coloring problems

Olivier Goudet, Cyril Grelier, Jin-Kao Hao

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

[354] arXiv:2109.06024 [pdf, other]

Title: Formalizing and Estimating Distribution Inference Risks

Anshuman Suri, David Evans

Comments: Update: Accepted at PETS 2022

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

[355] arXiv:2109.06056 [pdf, other]

Title: CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India

Ambedkar Dukkipati, Tony Gracious, Shubham Gupta

Subjects: Machine Learning (cs.LG)

[356] arXiv:2109.06073 [pdf, other]

Title: An End-to-end Point of Interest (POI) Conflation Framework

Raymond Low, Zeynep D. Tekler, Lynette Cheah

Comments: 20 pages, 6 figures, 5 tables

Subjects: Machine Learning (cs.LG); Databases (cs.DB)

[357] arXiv:2109.06088 [pdf, other]

Title: Concept Drift Detection in Federated Networked Systems

Dimitrios Michael Manias, Ibrahim Shaer, Li Yang, Abdallah Shami

Comments: Accepted in IEEE GLOBECOM 2021

Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)

[358] arXiv:2109.06093 [pdf, other]

Title: Direct Advantage Estimation

Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf

Comments: Published at NeurIPS 2022

Subjects: Machine Learning (cs.LG)

[359] arXiv:2109.06098 [pdf, other]

Title: The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks

Alexander Bastounis, Anders C Hansen, Verner Vlačić

Comments: 29 pages, 1 figure

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

[360] arXiv:2109.06099 [pdf, other]

Title: Uniform Generalization Bounds for Overparameterized Neural Networks

Sattar Vakili, Michael Bromberg, Jezabel Garcia, Da-shan Shiu, Alberto Bernacchia

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

[361] arXiv:2109.06139 [pdf, other]

Title: Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy

Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar

Comments: 10 Pages, 8 Figues, 4 Tables. The 7th International Conference on Health Informatics & Medical Systems

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)

[362] arXiv:2109.06141 [pdf, other]

Title: On Tilted Losses in Machine Learning: Theory and Applications

Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith

Comments: arXiv admin note: substantial text overlap with arXiv:2007.01162

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

[363] arXiv:2109.06153 [pdf, other]

Title: Relaxed Marginal Consistency for Differentially Private Query Answering

Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau

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

[364] arXiv:2109.06176 [pdf, other]

Title: TREATED:Towards Universal Defense against Textual Adversarial Attacks

Bin Zhu, Zhaoquan Gu, Le Wang, Zhihong Tian

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

[365] arXiv:2109.06181 [pdf, other]

Title: Towards Better Model Understanding with Path-Sufficient Explanations

Ronny Luss, Amit Dhurandhar

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

[366] arXiv:2109.06234 [pdf, other]

Title: Machine Learning for Online Algorithm Selection under Censored Feedback

Alexander Tornede, Viktor Bengs, Eyke Hüllermeier

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

[367] arXiv:2109.06265 [pdf, other]

Title: Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation

Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao

Subjects: Machine Learning (cs.LG)

[368] arXiv:2109.06266 [pdf, other]

Title: Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms

Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin

Comments: To appear in the Proceedings of the Machine Learning on HPC Systems (MLHPCS) workshop held in conjunction with International Supercomputing Conference (ISC), July 2, 2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)

[369] arXiv:2109.06310 [pdf, other]

Title: State Relevance for Off-Policy Evaluation

Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez

Comments: ICML 2021

Journal-ref: Proceedings of the 38th International Conference on Machine Learning, PMLR 139:9537-9546, 2021

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

[370] arXiv:2109.06312 [pdf, other]

Title: Learning-to-defer for sequential medical decision-making under uncertainty

Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez

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

[371] arXiv:2109.06321 [pdf, other]

Title: Mitigating Sampling Bias and Improving Robustness in Active Learning

Ranganath Krishnan, Alok Sinha, Nilesh Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

Comments: Human in the Loop Learning workshop at International Conference on Machine Learning (ICML 2021)

Subjects: Machine Learning (cs.LG)

[372] arXiv:2109.06332 [pdf, other]

Title: Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach

Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

Comments: This paper is the arXiv version with Appendices of the published AAAI paper: "Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach," in Proc. AAAI, Feb 2022. The paper has been further extended with concave utilities and constraints in v2

Journal-ref: AAAI 2022

Subjects: Machine Learning (cs.LG)

[373] arXiv:2109.06358 [pdf, other]

Title: A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems

Moein Sabounchi, Jin Wei-Kocsis

Comments: 5 Pages, 6 figures

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

[374] arXiv:2109.06362 [pdf, other]

Title: Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods

Xin Guo, Anran Hu, Junzi Zhang

Comments: 42 pages

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

[375] arXiv:2109.06368 [pdf, other]

Title: Policy Optimization Using Semi-parametric Models for Dynamic Pricing

Jianqing Fan, Yongyi Guo, Mengxin Yu

Comments: 71 pages, Major Revision

Subjects: Machine Learning (cs.LG); Econometrics (econ.EM); Optimization and Control (math.OC); Methodology (stat.ME); Machine Learning (stat.ML)

[376] arXiv:2109.06407 [pdf, other]

Title: Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu

Comments: Published as a conference paper at L4DC 2022

Journal-ref: Proceedings of The 4th Annual Learning for Dynamics and Control Conference, PMLR 168:263-277, 2022

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

[377] arXiv:2109.06429 [pdf, other]

Title: Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology

Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Chris Duffy, John Neiber, Vipin Kumar

Comments: Accepted at KDD 2022

Subjects: Machine Learning (cs.LG)

[378] arXiv:2109.06431 [pdf, other]

Title: Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches

Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng

Comments: 6 pages, accepted by ICDM 2021

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

[379] arXiv:2109.06440 [pdf, other]

Title: Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems

Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy

Comments: 41st IEEE International Conference on Distributed Computing Systems, 2021

Subjects: Machine Learning (cs.LG)

[380] arXiv:2109.06450 [pdf, other]

Title: A machine-learning framework for daylight and visual comfort assessment in early design stages

Hanieh Nourkojouri, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Zohreh Shaghaghian

Comments: This paper was presented at the 2021 IBPSA (International Building Performance Simulation Association) Conference in Bruges, Belgium

Subjects: Machine Learning (cs.LG)

[381] arXiv:2109.06458 [pdf, html, other]

Title: A Note on Knowledge Distillation Loss Function for Object Classification

Defang Chen

Comments: Research Note, 4 pages

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

[382] arXiv:2109.06469 [pdf, other]

Title: Deep Denerative Models for Drug Design and Response

Karina Zadorozhny, Lada Nuzhna

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

[383] arXiv:2109.06486 [pdf, other]

Title: Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data

Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto Sangiovanni-Vincentelli, Costas J. Spanos

Subjects: Machine Learning (cs.LG)

[384] arXiv:2109.06489 [pdf, other]

Title: Instance-wise Graph-based Framework for Multivariate Time Series Forecasting

Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu

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

[385] arXiv:2109.06514 [pdf, other]

Title: Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments

Eshagh Kargar, Ville Kyrki

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

[386] arXiv:2109.06562 [pdf, other]

Title: Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning

Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler

Comments: ICMLA 2021

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

[387] arXiv:2109.06565 [pdf, other]

Title: Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data

Wentai Wu, Ligang He, Weiwei Lin

Comments: 9 pages with appendix

Subjects: Machine Learning (cs.LG)

[388] arXiv:2109.06587 [pdf, other]

Title: Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits

Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting

Subjects: Machine Learning (cs.LG)

[389] arXiv:2109.06609 [pdf, other]

Title: DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning

Satheesh K. Perepu, Kaushik Dey

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

[390] arXiv:2109.06625 [pdf, other]

Title: Towards optimized actions in critical situations of soccer games with deep reinforcement learning

Pegah Rahimian, Afshin Oroojlooy, Laszlo Toka

Subjects: Machine Learning (cs.LG)

[391] arXiv:2109.06661 [pdf, other]

Title: Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification

Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang

Comments: 10 pages, Accepted as regular paper by ICDM 2021

Journal-ref: 2021 IEEE International Conference on Data Mining (ICDM)

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

[392] arXiv:2109.06707 [pdf, other]

Title: A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients

Adam Izdebski, Patrick J. Thoral, Robbert C.A. Lalisang, Dean M. McHugh, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A.A. Peters, Marlijn J.A Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G.C.A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G.M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P.C. de Jager, Stefaan H.A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, A. Karakus, Robert Entjes, Paul de Jong, Thijs C.D. Rettig, Sesmu Arbous, Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti, Daan P. de Bruin, Paul W.G. Elbers, Giovanni Cinà

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

[393] arXiv:2109.06711 [pdf, other]

Title: COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification

Audrey Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

Comments: 5 pages

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

[394] arXiv:2109.06715 [pdf, other]

Title: IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros

Journal-ref: IEEE Network, vol. 35, no. 6, pp. 171-177, 2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Networking and Internet Architecture (cs.NI); Signal Processing (eess.SP)

[395] arXiv:2109.06716 [pdf, other]

Title: HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter

Comments: Published at NeurIPS Datasets and Benchmarks Track 2021. Updated version

Subjects: Machine Learning (cs.LG)

[396] arXiv:2109.06723 [pdf, other]

Title: Simulations in Recommender Systems: An industry perspective

Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini

Comments: G pages

Subjects: Machine Learning (cs.LG)

[397] arXiv:2109.06762 [pdf, other]

Title: Greenformer: Factorization Toolkit for Efficient Deep Neural Networks

Samuel Cahyawijaya, Genta Indra Winata, Holy Lovenia, Bryan Wilie, Wenliang Dai, Etsuko Ishii, Pascale Fung

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

[398] arXiv:2109.06777 [pdf, other]

Title: PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models

Bing He, Mustaque Ahamad, Srijan Kumar

Comments: Accepted for publication at: 2021 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021). Code and data at: this https URL

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

[399] arXiv:2109.06786 [pdf, other]

Title: Multiple shooting for training neural differential equations on time series

Evren Mert Turan, Johannes Jäschke

Comments: in IEEE Control Systems Letters

Subjects: Machine Learning (cs.LG)

[400] arXiv:2109.06795 [pdf, other]

Title: ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation

Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How

Subjects: Machine Learning (cs.LG)