Machine Learning

Authors and titles for September 2021

[701] arXiv:2109.11410 [pdf, other]

Title: Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming

Ayush Maheshwari, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh Iyer, Marina Danilevsky, Lucian Popa

Comments: Findings of ACL, 2022

Subjects: Machine Learning (cs.LG)

[702] arXiv:2109.11415 [pdf, other]

Title: A survey of Bayesian Network structure learning

Neville K. Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham

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

[703] arXiv:2109.11422 [pdf, other]

Title: Programming and Training Rate-Independent Chemical Reaction Networks

Marko Vasic, Cameron Chalk, Austin Luchsinger, Sarfraz Khurshid, David Soloveichik

Journal-ref: Proceedings of the National Academy of Sciences, 119(24):e2111552119, 2022

Subjects: Machine Learning (cs.LG); Emerging Technologies (cs.ET); Neural and Evolutionary Computing (cs.NE)

[704] arXiv:2109.11428 [pdf, other]

Title: An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo

Comments: IEEE Transactions on Neural Networks and Learning Systems

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

[705] arXiv:2109.11429 [pdf, other]

Title: Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data

Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro

Journal-ref: Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

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

[706] arXiv:2109.11434 [pdf, other]

Title: Exploring Machine Teaching with Children

Utkarsh Dwivedi, Jaina Gandhi, Raj Parikh, Merijke Coenraad, Elizabeth Bonsignore, Hernisa Kacorri

Comments: 11 pages, 8 images

Journal-ref: IEEE Symposium on Visual Languages and Human-Centric Computing 2021

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)

[707] arXiv:2109.11446 [pdf, other]

Title: Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint

Pawan Goyal, Peter Benner

Subjects: Machine Learning (cs.LG); Dynamical Systems (math.DS)

[708] arXiv:2109.11505 [pdf, other]

Title: Multidimensional Scaling: Approximation and Complexity

Erik Demaine, Adam Hesterberg, Frederic Koehler, Jayson Lynch, John Urschel

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

[709] arXiv:2109.11515 [pdf, other]

Title: Outlier-Robust Sparse Estimation via Non-Convex Optimization

Yu Cheng, Ilias Diakonikolas, Rong Ge, Shivam Gupta, Daniel M. Kane, Mahdi Soltanolkotabi

Comments: Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2022. (Updated to the NeurIPS'22 version in v2.)

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC); Statistics Theory (math.ST); Machine Learning (stat.ML)

[710] arXiv:2109.11576 [pdf, other]

Title: Efficient, Interpretable Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy

Tim Hsu, Tuan Anh Pham, Nathan Keilbart, Stephen Weitzner, James Chapman, Penghao Xiao, S. Roger Qiu, Xiao Chen, Brandon C. Wood

Subjects: Machine Learning (cs.LG); Computational Physics (physics.comp-ph)

[711] arXiv:2109.11577 [pdf, other]

Title: Text Ranking and Classification using Data Compression

Nitya Kasturi, Igor L. Markov

Journal-ref: ICBINB workshop at NeurIPS 2021

Subjects: Machine Learning (cs.LG)

[712] arXiv:2109.11612 [pdf, other]

Title: Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit

Ke Li, Yun Yang, Naveen N. Narisetty

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

[713] arXiv:2109.11629 [pdf, other]

Title: Recurrent Neural Networks for Partially Observed Dynamical Systems

Uttam Bhat, Stephan B. Munch

Comments: 11 pages, 5 figures

Subjects: Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD)

[714] arXiv:2109.11649 [pdf, other]

Title: Deep Learning with Kernel Flow Regularization for Time Series Forecasting

Mahdy Shirdel, Reza Asadi, Duc Do, Micheal Hintlian

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

[715] arXiv:2109.11661 [pdf, other]

Title: Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities

Muhammad Khalid, Liang Wang, Kezhi Wang, Cunhua Pan, Nauman Aslam, Yue Cao

Comments: 6 Figures, 1 Table

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

[716] arXiv:2109.11678 [pdf, other]

Title: Improved optimization strategies for deep Multi-Task Networks

Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga

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

[717] arXiv:2109.11692 [pdf, other]

Title: Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning

Carlo Alfano, Patrick Rebeschini

Subjects: Machine Learning (cs.LG); Multiagent Systems (cs.MA); Systems and Control (eess.SY); Statistics Theory (math.ST); Machine Learning (stat.ML)

[718] arXiv:2109.11703 [pdf, other]

Title: An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration

Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang

Subjects: Machine Learning (cs.LG)

[719] arXiv:2109.11720 [pdf, other]

Title: Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model

Zhanhong Yang, Satoshi Masuda, Michiaki Tatsubori

Comments: 7 pages, submitted for SIGSPATIAL'21

Subjects: Machine Learning (cs.LG)

[720] arXiv:2109.11730 [pdf, other]

Title: GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

Subjects: Machine Learning (cs.LG)

[721] arXiv:2109.11731 [pdf, other]

Title: Adversarial Neural Trip Recommendation

Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Jizhou Huang, Hui Xiong

Subjects: Machine Learning (cs.LG)

[722] arXiv:2109.11732 [pdf, other]

Title: Holistic Semi-Supervised Approaches for EEG Representation Learning

Guangyi Zhang, Ali Etemad

Comments: Accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

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

[723] arXiv:2109.11767 [pdf, other]

Title: Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

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

[724] arXiv:2109.11769 [pdf, other]

Title: Non-Euclidean Self-Organizing Maps

Dorota Celińska-Kopczyńska, Eryk Kopczyński

Comments: Accepted to IJCAI 2022

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Geometric Topology (math.GT)

[725] arXiv:2109.11788 [pdf, other]

Title: Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients

Baturay Saglam, Furkan Burak Mutlu, Dogan Can Cicek, Suleyman Serdar Kozat

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

[726] arXiv:2109.11792 [pdf, other]

Title: Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability

Aviv Tamar, Daniel Soudry, Ev Zisselman

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

[727] arXiv:2109.11796 [pdf, other]

Title: Edge but not Least: Cross-View Graph Pooling

Xiaowei Zhou, Jie Yin, Ivor W. Tsang

Comments: 9 pages

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

[728] arXiv:2109.11803 [pdf, other]

Title: Local Intrinsic Dimensionality Signals Adversarial Perturbations

Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein

Comments: 13 pages

Subjects: Machine Learning (cs.LG)

[729] arXiv:2109.11808 [pdf, other]

Title: A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements

Peter N. Loxley, Ka-Wai Cheung

Journal-ref: Entropy, 25, 251 (2023)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO); Optimization and Control (math.OC)

[730] arXiv:2109.11817 [pdf, other]

Title: Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts

Wouter Kool, Chris J. Maddison, Andriy Mnih

Comments: I (Still) Can't Believe It's Not Better Workshop at NeurIPS 2021

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

[731] arXiv:2109.11851 [pdf, other]

Title: Approximate Latent Force Model Inference

Jacob D. Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió

Comments: Accepted with oral presentation at the Science-Guided AI Symposium at AAAI 2021

Subjects: Machine Learning (cs.LG)

[732] arXiv:2109.11863 [pdf, other]

Title: Learning Multi-Layered GBDT Via Back Propagation

Zhendong Zhang

Comments: 10 pages

Subjects: Machine Learning (cs.LG)

[733] arXiv:2109.11867 [pdf, other]

Title: The $f$-Divergence Reinforcement Learning Framework

Chen Gong, Qiang He, Yunpeng Bai, Zhou Yang, Xiaoyu Chen, Xinwen Hou, Xianjie Zhang, Yu Liu, Guoliang Fan

Comments: 17 pages, 4 figures

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

[734] arXiv:2109.11871 [pdf, other]

Title: Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation

Charl Maree, Christian W. Omlin

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

[735] arXiv:2109.11909 [pdf, other]

Title: Learning to maximize global influence from local observations

Gábor Lugosi, Gergely Neu, Julia Olkhovskaya

Comments: arXiv admin note: substantial text overlap with arXiv:1805.11022

Subjects: Machine Learning (cs.LG)

[736] arXiv:2109.12001 [pdf, other]

Title: Optimisation of MCTS Player for The Lord of the Rings: The Card Game

Konrad Godlewski, Bartosz Sawicki

Comments: Published in Bulletin of the Polish Academy of Sciences: Technical Sciences

Subjects: Machine Learning (cs.LG)

[737] arXiv:2109.12020 [pdf, other]

Title: Distributed Estimation of Sparse Inverse Covariances

Tong Yao, Shreyas Sundaram

Comments: 8 pages, 3 figures, 60th IEEE Conference on Decision and Control (CDC)

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

[738] arXiv:2109.12026 [pdf, other]

Title: Description-based Label Attention Classifier for Explainable ICD-9 Classification

Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp

Comments: Accepted at the Workshop on Noisy User-generated Text (W-NUT) at EMNLP 2021

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

[739] arXiv:2109.12043 [pdf, other]

Title: Sample Efficient Model Evaluation

Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber

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

[740] arXiv:2109.12062 [pdf, other]

Title: SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning

Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella, Stefano Samele, Leonardo Di Perna, Matteo Matteucci

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

[741] arXiv:2109.12063 [pdf, other]

Title: Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble

Hiroshi Seki, Takashi Nakano, Koshiro Ikeda, Shinji Hirooka, Takaaki Kawasaki, Mitsutomo Yamada, Shumpei Saito, Toshitaka Yamakawa, Shimpei Ogawa

Comments: 4 pages, in Computing in Cardiology (CinC) 2021, PhysioNet/CinC Challenge 2021 submission

Subjects: Machine Learning (cs.LG)

[742] arXiv:2109.12073 [pdf, other]

Title: A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems

Xian Yeow Lee, Soumik Sarkar, Yubo Wang

Comments: Presented at NeurIPS 2021 Deep RL Workshop

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

[743] arXiv:2109.12081 [pdf, other]

Title: Deep Social Force

Sven Kreiss

Subjects: Machine Learning (cs.LG)

[744] arXiv:2109.12111 [pdf, other]

Title: Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach

Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh

Comments: This work has been submitted to the IEEE for possible publication. arXiv admin note: text overlap with arXiv:2109.11579

Subjects: Machine Learning (cs.LG)

[745] arXiv:2109.12144 [pdf, other]

Title: Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurelie Labbe, Lijun Sun

Subjects: Machine Learning (cs.LG)

[746] arXiv:2109.12151 [pdf, other]

Title: AI Explainability 360: Impact and Design

Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang

Comments: arXiv admin note: text overlap with arXiv:1909.03012

Journal-ref: IAAI 2022

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

[747] arXiv:2109.12171 [pdf, other]

Title: NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming

Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan

Comments: Accepted in 36th AAAI Conference. 7 pages + 2 pages appendix, 1 figure. Code available at this https URL

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

[748] arXiv:2109.12191 [pdf, other]

Title: NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU

Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Computer Vision and Pattern Recognition (cs.CV); Distributed, Parallel, and Cluster Computing (cs.DC)

[749] arXiv:2109.12218 [pdf, other]

Title: Long-Range Transformers for Dynamic Spatiotemporal Forecasting

Jake Grigsby, Zhe Wang, Nam Nguyen, Yanjun Qi

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

[750] arXiv:2109.12269 [pdf, other]

Title: Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation

Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D.I. Abarbanel

Comments: 22 pages, 16 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Dynamical Systems (math.DS); Optimization and Control (math.OC); Geophysics (physics.geo-ph)