Machine Learning

Authors and titles for recent submissions, skipping first 43

• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024
• Mon, 29 Apr 2024

Wed, 1 May 2024 (continued, showing last 16 of 21 entries)

[44]  arXiv:2404.19756 (cross-list from cs.LG) [pdf, other]

Title: KAN: Kolmogorov-Arnold Networks

Authors: Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljačić, Thomas Y. Hou, Max Tegmark

Comments: 48 pages, 20 figures. Codes are available at this https URL

Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[45]  arXiv:2404.19719 (cross-list from cs.LG) [pdf, other]

Title: The lazy (NTK) and rich ($μ$P) regimes: a gentle tutorial

Authors: Dhruva Karkada

Comments: 22 pages, 7 figures

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

[46]  arXiv:2404.19661 (cross-list from stat.ME) [pdf, other]

Title: PCA for Point Processes

Authors: Franck Picard, Vincent Rivoirard, Angelina Roche, Victor Panaretos

Subjects: Methodology (stat.ME); Machine Learning (stat.ML)

[47]  arXiv:2404.19649 (cross-list from cs.LG) [pdf, other]

Title: Landmark Alternating Diffusion

Authors: Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (stat.ML)

[48]  arXiv:2404.19640 (cross-list from cs.LG) [pdf, other]

Title: Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks

Authors: Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe

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

[49]  arXiv:2404.19620 (cross-list from cs.LG) [pdf, other]

Title: Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Authors: Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

Comments: ICLR 24

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

[50]  arXiv:2404.19517 (cross-list from math.OC) [pdf, ps, other]

Title: Inexact subgradient methods for semialgebraic functions

Authors: Jérôme Bolte (TSE-R), Tam Le (UGA, LJK), Éric Moulines (CMAP, MBZUAI), Edouard Pauwels (TSE-R, IUF)

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

[51]  arXiv:2404.19496 (cross-list from math.ST) [pdf, other]

Title: Online and Offline Robust Multivariate Linear Regression

Authors: Antoine Godichon-Baggioni (LPSM (UMR\_8001)), Stephane S. Robin (LPSM (UMR\_8001)), Laure Sansonnet (MIA Paris-Saclay, LPSM (UMR\_8001))

Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)

[52]  arXiv:2404.19292 (cross-list from cs.IT) [pdf, other]

Title: Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning

Authors: Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li

Subjects: Information Theory (cs.IT); Machine Learning (cs.LG); Multiagent Systems (cs.MA); Machine Learning (stat.ML)

[53]  arXiv:2404.19288 (cross-list from cs.LG) [pdf, other]

Title: Training-free Graph Neural Networks and the Power of Labels as Features

Authors: Ryoma Sato

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

[54]  arXiv:2404.19274 (cross-list from cond-mat.dis-nn) [pdf, ps, other]

Title: Statistical Mechanics Calculations Using Variational Autoregressive Networks and Quantum Annealing

Authors: Yuta Tamura, Masayuki Ohzeki

Comments: 5pages

Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (stat.ML)

[55]  arXiv:2404.19145 (cross-list from stat.ME) [pdf, other]

Title: Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty

Authors: Kaizhao Liu, Jose Blanchet, Lexing Ying, Yiping Lu

Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Econometrics (econ.EM); Statistics Theory (math.ST); Machine Learning (stat.ML)

[56]  arXiv:2404.19127 (cross-list from stat.ME) [pdf, other]

Title: A model-free subdata selection method for classification

Authors: Rakhi Singh

Subjects: Methodology (stat.ME); Machine Learning (stat.ML)

[57]  arXiv:2404.19112 (cross-list from cs.LG) [pdf, other]

Title: Hidden Synergy: $L_1$ Weight Normalization and 1-Path-Norm Regularization

Authors: Aditya Biswas

Comments: 8 pages body, 2 tables, 1 figure, 3 appendices

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

[58]  arXiv:2404.18992 (cross-list from hep-ph) [pdf, other]

Title: Unifying Simulation and Inference with Normalizing Flows

Authors: Haoxing Du, Claudius Krause, Vinicius Mikuni, Benjamin Nachman, Ian Pang, David Shih

Comments: 11 pages, 7 figures

Subjects: High Energy Physics - Phenomenology (hep-ph); High Energy Physics - Experiment (hep-ex); Data Analysis, Statistics and Probability (physics.data-an); Instrumentation and Detectors (physics.ins-det); Machine Learning (stat.ML)

[59]  arXiv:2404.17546 (cross-list from cs.LG) [pdf, other]

Title: Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Authors: Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Grosse

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

Tue, 30 Apr 2024 (showing first 9 of 27 entries)

[60]  arXiv:2404.18769 [pdf, other]

Title: Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

Authors: Fanghui Liu, Leello Dadi, Volkan Cevher

Comments: Accepted by JMLR

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

[61]  arXiv:2404.18233 [pdf, ps, other]

Title: A Note on Asynchronous Challenges: Unveiling Formulaic Bias and Data Loss in the Hayashi-Yoshida Estimator

Authors: Evangelos Georgiadis

Comments: submitted. 15 pages, 1 appendix, 4 figures, 1 table, 1 algo

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Combinatorics (math.CO); Probability (math.PR)

[62]  arXiv:2404.17856 [pdf, other]

Title: Uncertainty quantification for iterative algorithms in linear models with application to early stopping

Authors: Pierre C. Bellec, Kai Tan

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Computation (stat.CO); Methodology (stat.ME)

[63]  arXiv:2404.17709 [pdf, other]

Title: Low-rank Matrix Bandits with Heavy-tailed Rewards

Authors: Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee

Comments: The 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024)

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

[64]  arXiv:2404.17644 [pdf, other]

Title: A Conditional Independence Test in the Presence of Discretization

Authors: Boyang Sun, Yu Yao, Huangyuan Hao, Yumou Qiu, Kun Zhang

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

[65]  arXiv:2404.18922 (cross-list from cs.LG) [pdf, other]

Title: DPO Meets PPO: Reinforced Token Optimization for RLHF

Authors: Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang

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

[66]  arXiv:2404.18909 (cross-list from cs.LG) [pdf, other]

Title: Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty

Authors: Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman

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

[67]  arXiv:2404.18905 (cross-list from stat.ME) [pdf, other]

Title: Detecting critical treatment effect bias in small subgroups

Authors: Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang

Comments: Accepted for presentation at the Conference on Uncertainty in Artificial Intelligence (UAI) 2024

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

[68]  arXiv:2404.18893 (cross-list from cs.DS) [pdf, other]

Title: Learning general Gaussian mixtures with efficient score matching

Authors: Sitan Chen, Vasilis Kontonis, Kulin Shah

Comments: 57 pages

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

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• Mon, 29 Apr 2024