Machine Learning

Authors and titles for September 2021

[401] arXiv:2109.06815 [pdf, other]

Title: Predicting Loss Risks for B2B Tendering Processes

Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura

Subjects: Machine Learning (cs.LG)

[402] arXiv:2109.06826 [pdf, other]

Title: Few-shot Quality-Diversity Optimization

Achkan Salehi, Alexandre Coninx, Stephane Doncieux

Comments: Accepted for publication in the IEEE Robotics and Automation Letters (RA-L) journal

Journal-ref: IEEE Robotics and Automation Letters 7.2 (2022): 4424-4431

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

[403] arXiv:2109.06861 [pdf, other]

Title: Nonlinearities in Steerable SO(2)-Equivariant CNNs

Daniel Franzen, Michael Wand

Subjects: Machine Learning (cs.LG)

[404] arXiv:2109.06873 [pdf, other]

Title: Robust Contrastive Active Learning with Feature-guided Query Strategies

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

Comments: 20 pages with appendix. arXiv admin note: text overlap with arXiv:2109.06321

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

[405] arXiv:2109.06919 [pdf, other]

Title: Deploying clinical machine learning? Consider the following...

Charles Lu, Ken Chang, Praveer Singh, Stuart Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher Bridge, Jayashree Kalpathy-Cramer

Comments: Trustworthy AI for Healthcare workshop at AAAI 2022

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

[406] arXiv:2109.06961 [pdf, other]

Title: Multihop: Leveraging Complex Models to Learn Accurate Simple Models

Amit Dhurandhar, Tejaswini Pedapati

Comments: Accepted to ICKG 2022

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

[407] arXiv:2109.06999 [pdf, other]

Title: Behavior of k-NN as an Instance-Based Explanation Method

Chhavi Yadav, Kamalika Chaudhuri

Subjects: Machine Learning (cs.LG)

[408] arXiv:2109.07008 [pdf, other]

Title: HeMI: Multi-view Embedding in Heterogeneous Graphs

Costas Mavromatis, George Karypis

Subjects: Machine Learning (cs.LG)

[409] arXiv:2109.07016 [pdf, other]

Title: Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization

Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi

Comments: In CIKM 2021

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

[410] arXiv:2109.07028 [pdf, other]

Title: Avengers Ensemble! Improving Transferability of Authorship Obfuscation

Muhammad Haroon, Fareed Zaffar, Padmini Srinivasan, Zubair Shafiq

Comments: Submitted to PETS 2021

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

[411] arXiv:2109.07054 [pdf, other]

Title: Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback

Ishaan Shah, David Halpern, Kavosh Asadi, Michael L. Littman

Comments: Accepted into ICML 2021 workshops Human-AI Collaboration in Sequential Decision-Making and Human in the Loop Learning

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS); Human-Computer Interaction (cs.HC)

[412] arXiv:2109.07103 [pdf, other]

Title: Automatic Symmetry Discovery with Lie Algebra Convolutional Network

Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Group Theory (math.GR)

[413] arXiv:2109.07106 [pdf, other]

Title: WIP: Medical Incident Prediction Through Analysis of Electronic Medical Records Using Machine Lerning: Fall Prediction

Atsushi Yanagisawa, Chintaka Premachandra, Hiruharu Kawanaka, Atsushi Inoue, Takeo Hata, Eiichiro Ueda

Comments: ICIEV/IVPR2021. Work-In-Progress paper. 6 pages. 5 tables. Emerging Researcher Award

Journal-ref: Proceedings of ICIEV/IVPR2021

Subjects: Machine Learning (cs.LG)

[414] arXiv:2109.07117 [pdf, other]

Title: Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data

Antoine Godichon-Baggioni (LPSM (UMR\_8001)), Nicklas Werge (LPSM (UMR\_8001)), Olivier Wintenberger (LPSM (UMR\_8001))

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

[415] arXiv:2109.07129 [pdf, other]

Title: What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation

Christian Geishauser, Songbo Hu, Hsien-chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gašić

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

[416] arXiv:2109.07137 [pdf, other]

Title: Optimal Cycling of a Heterogenous Battery Bank via Reinforcement Learning

Vivek Deulkar, Jayakrishnan Nair

Comments: Appeared on IEEE SmartGridComm 2021 conference

Subjects: Machine Learning (cs.LG)

[417] arXiv:2109.07142 [pdf, other]

Title: Universal Adversarial Attack on Deep Learning Based Prognostics

Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana

Comments: 7 pages

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

[418] arXiv:2109.07143 [pdf, other]

Title: Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs

Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein

Comments: AAAI 2022 (Main Track)

Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE); Fluid Dynamics (physics.flu-dyn)

[419] arXiv:2109.07170 [pdf, other]

Title: Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior

Gaël Poux-Médard, Julien Velcin, Sabine Loudcher

Subjects: Machine Learning (cs.LG); Discrete Mathematics (cs.DM); Information Retrieval (cs.IR)

[420] arXiv:2109.07180 [pdf, other]

Title: Back to Basics: Deep Reinforcement Learning in Traffic Signal Control

Sierk Kanis, Laurens Samson, Daan Bloembergen, Tim Bakker

Comments: 9 pages, 4 figures; minor textual improvements w.r.t. v1. Presented at the 10th Intl. Workshop on Urban Computing at ACM SIGSPATIAL 2021. Code for this paper is available at this https URL

Subjects: Machine Learning (cs.LG)

[421] arXiv:2109.07258 [pdf, other]

Title: Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting

Wei Zhu, Jiebo Luo, Andrew White

Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph)

[422] arXiv:2109.07266 [pdf, other]

Title: Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach

Aboli Marathe, Saloni Parekh, Harsh Sakhrani

Comments: Accepted at Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD-epiDAMIK) 2021: The 4th International Workshop on Epidemiology meets Data Mining and Knowledge discovery

Subjects: Machine Learning (cs.LG); Applications (stat.AP)

[423] arXiv:2109.07273 [pdf, other]

Title: NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices

Lander Segurola-Gil, Francesco Zola, Xabier Echeberria-Barrio, Raul Orduna-Urrutia

Comments: It will be published in "Communications in Computer and Information Science" and presented in the 3rd Workshop of Machine Learning for Cybersecurity (MLCS)

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

[424] arXiv:2109.07275 [pdf, other]

Title: DROMO: Distributionally Robust Offline Model-based Policy Optimization

Ruizhen Liu, Dazhi Zhong, Zhicong Chen

Comments: Under review of S.-T. Yau Award 2021 of Computer Science

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

[425] arXiv:2109.07335 [pdf, other]

Title: Comparing decision mining approaches with regard to the meaningfulness of their results

Beate Scheibel, Stefanie Rinderle-Ma

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

[426] arXiv:2109.07359 [pdf, other]

Title: Modular Neural Ordinary Differential Equations

Max Zhu, Pietro Lio, Jacob Moss

Comments: 4 pages

Subjects: Machine Learning (cs.LG)

[427] arXiv:2109.07371 [pdf, other]

Title: Self-learn to Explain Siamese Networks Robustly

Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie

Comments: Accepted to ICDM 2021

Subjects: Machine Learning (cs.LG)

[428] arXiv:2109.07380 [pdf, other]

Title: DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning

Daniel Seita, Abhinav Gopal, Zhao Mandi, John Canny

Comments: Supplementary material is available at this https URL

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

[429] arXiv:2109.07402 [pdf, other]

Title: Multi View Spatial-Temporal Model for Travel Time Estimation

ZiChuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang

Comments: 4 pages, 2 figures

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

[430] arXiv:2109.07437 [pdf, other]

Title: Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative

Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig

Comments: 18 pages, 4 figures

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

[431] arXiv:2109.07438 [pdf, other]

Title: CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Comments: 16 pages, 4 figures. Accepted at WWW 2022

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

[432] arXiv:2109.07471 [pdf, other]

Title: Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE)

Sutanu Bhowmick, Satish Nagarajaiah

Comments: 24 pages, 14 figures, Submitted to Science Advances

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Chaotic Dynamics (nlin.CD)

[433] arXiv:2109.07473 [pdf, other]

Title: Generalized XGBoost Method

Yang Guang

Comments: The second version,Fixed some language expressions

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

[434] arXiv:2109.07497 [pdf, other]

Title: Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD

Chen Fan, Parikshit Ram, Sijia Liu

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

[435] arXiv:2109.07504 [pdf, other]

Title: Federated Contrastive Learning for Decentralized Unlabeled Medical Images

Nanqing Dong, Irina Voiculescu

Comments: Accepted by MICCAI 2021

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

[436] arXiv:2109.07519 [pdf, other]

Title: Discovering Useful Compact Sets of Sequential Rules in a Long Sequence

Erwan Bourrand, Luis Galárraga, Esther Galbrun, Elisa Fromont, Alexandre Termier

Comments: 8 pages, published in the proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence

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

[437] arXiv:2109.07548 [pdf, other]

Title: Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys

Aziz Koçanaoğulları, Cemre Ariyurek, Onur Afacan, Sila Kurugol

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

[438] arXiv:2109.07557 [pdf, other]

Title: CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations

Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav

Journal-ref: Proceedings of the 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), 2023

Subjects: Machine Learning (cs.LG)

[439] arXiv:2109.07563 [pdf, other]

Title: Non-smooth Bayesian Optimization in Tuning Problems

Hengrui Luo, James W. Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu

Comments: 61 pages

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

[440] arXiv:2109.07564 [pdf, other]

Title: Estimation of Warfarin Dosage with Reinforcement Learning

Arpita Vats

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

[441] arXiv:2109.07570 [pdf, other]

Title: Predicting the outcome of team movements -- Player time series analysis using fuzzy and deep methods for representation learning

Omid Shokrollahi, Bahman Rohani, Amin Nobakhti

Comments: arXiv admin note: text overlap with arXiv:1901.10738 by other authors

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

[442] arXiv:2109.07571 [pdf, other]

Title: Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs

Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu

Comments: This article is accepted as a regular paper in an upcoming issue of the Transactions on Knowledge and Data Engineering

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

[443] arXiv:2109.07573 [pdf, other]

Title: Differentiable Physics: A Position Piece

Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan

Comments: 12 pages, 1 figure

Subjects: Machine Learning (cs.LG); Chemical Physics (physics.chem-ph)

[444] arXiv:2109.07578 [pdf, other]

Title: Multi-Task Learning with Sequence-Conditioned Transporter Networks

Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire Tomlin, Stefan Schaal, Aleksandra Faust

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO); Systems and Control (eess.SY)

[445] arXiv:2109.07582 [pdf, html, other]

Title: Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search

Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Min Huang, Xingwei Wang

Subjects: Machine Learning (cs.LG)

[446] arXiv:2109.07583 [pdf, other]

Title: Network representation learning systematic review: ancestors and current development state

Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha

Comments: 65 pages 11 Figures 6 Tables

Journal-ref: Machine Learning with Applications, Volume 6, 2021,100-130

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

[447] arXiv:2109.07601 [pdf, other]

Title: A Column Streaming-Based Convolution Engine and Mapping Algorithm for CNN-based Edge AI accelerators

Weison Lin, Tughrul Arslan

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Image and Video Processing (eess.IV); Systems and Control (eess.SY)

[448] arXiv:2109.07602 [pdf, other]

Title: Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series

Asif Rahman, Yale Chang, Jonathan Rubin

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

[449] arXiv:2109.07611 [pdf, other]

Title: On-the-Fly Ensemble Pruning in Evolving Data Streams

Sanem Elbasi, Alican Büyükçakır, Hamed Bonab, Fazli Can

Comments: 5 pages, 2 figures

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

[450] arXiv:2109.07622 [pdf, other]

Title: Towards Zero-shot Cross-lingual Image Retrieval and Tagging

Pranav Aggarwal, Ritiz Tambi, Ajinkya Kale

Comments: Presented at Workshop on Multilingual Search, in conjunction with 30th The Web Conference 2021. arXiv admin note: substantial text overlap with arXiv:2012.05107

Subjects: Machine Learning (cs.LG)