Machine Learning

Authors and titles for recent submissions

• Fri, 31 May 2024
• Thu, 30 May 2024
• Wed, 29 May 2024
• Tue, 28 May 2024
• Mon, 27 May 2024

Fri, 31 May 2024 (showing first 25 of 35 entries)

[1]  arXiv:2405.20236 [pdf, other]

Title: Disentangling and Mitigating the Impact of Task Similarity for Continual Learning

Authors: Naoki Hiratani

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

[2]  arXiv:2405.20165 [pdf, other]

Title: Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation

Authors: Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh

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

[3]  arXiv:2405.20124 [pdf, other]

Title: A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Authors: Man-Chung Yue, Yves Rychener, Daniel Kuhn, Viet Anh Nguyen

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

[4]  arXiv:2405.20039 [pdf, other]

Title: Task-Agnostic Machine Learning-Assisted Inference

Authors: Jiacheng Miao, Qiongshi Lu

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

[5]  arXiv:2405.19995 [pdf, other]

Title: Symmetries in Overparametrized Neural Networks: A Mean-Field View

Authors: Javier Maass Martínez, Joaquin Fontbona

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

[6]  arXiv:2405.19912 [pdf, other]

Title: Robust Kernel Hypothesis Testing under Data Corruption

Authors: Antonin Schrab, Ilmun Kim

Comments: 26 pages, 2 figures, 2 algorithms

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

[7]  arXiv:2405.19760 [pdf, ps, other]

Title: Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding

Authors: Hiroaki Sasaki

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

[8]  arXiv:2405.19704 [pdf, other]

Title: Enhancing Sufficient Dimension Reduction via Hellinger Correlation

Authors: Seungbeom Hong, Ilmun Kim, Jun Song

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

[9]  arXiv:2405.19681 [pdf, other]

Title: Bayesian Online Natural Gradient (BONG)

Authors: Matt Jones, Peter Chang, Kevin Murphy

Comments: 41 pages, 11 figures

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

[10]  arXiv:2405.19610 [pdf, other]

Title: Factor Augmented Tensor-on-Tensor Neural Networks

Authors: Guanhao Zhou, Yuefeng Han, Xiufan Yu

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

[11]  arXiv:2405.19486 [pdf, other]

Title: Online Nonparametric Supervised Learning for Massive Data

Authors: Mohamed Chaouch, Omama M. Al-Hamed

Comments: 24 pages, 10 figures

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

[12]  arXiv:2405.19463 [pdf, other]

Title: Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data

Authors: Xuxing Chen, Abhishek Roy, Yifan Hu, Krishnakumar Balasubramanian

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

[13]  arXiv:2405.19380 [pdf, other]

Title: Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret

Authors: Yeoneung Kim, Gihun Kim, Insoon Yang

Comments: 61 pages, 6 figures

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

[14]  arXiv:2405.19374 [pdf, ps, other]

Title: Optimal Multiclass U-Calibration Error and Beyond

Authors: Haipeng Luo, Spandan Senapati, Vatsal Sharan

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

[15]  arXiv:2405.20231 (cross-list from cs.LG) [pdf, other]

Title: The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof

Authors: Derek Lim, Moe Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka

Comments: 27 pages. Preparing code for release

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

[16]  arXiv:2405.20114 (cross-list from cs.LG) [pdf, other]

Title: Near Optimal Decentralized Optimization with Compression and Momentum Tracking

Authors: Rustem Islamov, Yuan Gao, Sebastian U. Stich

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

[17]  arXiv:2405.20086 (cross-list from math.ST) [pdf, other]

Title: Analysis of a multi-target linear shrinkage covariance estimator

Authors: Benoit Oriol

Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG); Probability (math.PR); Machine Learning (stat.ML)

[18]  arXiv:2405.20028 (cross-list from cs.LG) [pdf, ps, other]

Title: A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds

Authors: Taira Tsuchiya, Shinji Ito

Comments: 31 pages

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

[19]  arXiv:2405.19977 (cross-list from cs.DS) [pdf, other]

Title: Consistent Submodular Maximization

Authors: Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam

Comments: To appear at ICML 24

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

[20]  arXiv:2405.19933 (cross-list from cs.LG) [pdf, other]

Title: Learning Latent Graph Structures and their Uncertainty

Authors: Alessandro Manenti, Daniele Zambon, Cesare Alippi

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

[21]  arXiv:2405.19807 (cross-list from cs.LG) [pdf, ps, other]

Title: MetaCURL: Non-stationary Concave Utility Reinforcement Learning

Authors: Bianca Marin Moreno (UGA, Thoth, EDF R&D, FiME Lab), Margaux Brégère (LPSM, EDF R&D), Pierre Gaillard (UGA, Thoth), Nadia Oudjane (EDF R&D, FiME Lab)

Subjects: Machine Learning (cs.LG); Probability (math.PR); Statistics Theory (math.ST); Machine Learning (stat.ML)

[22]  arXiv:2405.19752 (cross-list from cs.LG) [pdf, ps, other]

Title: Understanding Memory-Regret Trade-Off for Streaming Stochastic Multi-Armed Bandits

Authors: Yuchen He, Zichun Ye, Chihao Zhang

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

[23]  arXiv:2405.19747 (cross-list from cs.LG) [pdf, other]

Title: Understanding and mitigating difficulties in posterior predictive evaluation

Authors: Abhinav Agrawal, Justin Domke

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

[24]  arXiv:2405.19697 (cross-list from math.OC) [pdf, other]

Title: Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity

Authors: Yan Yang, Bin Gao, Ya-xiang Yuan

Comments: 43 pages, 1 figure, 1 table

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

[25]  arXiv:2405.19673 (cross-list from cs.LG) [pdf, other]

Title: Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models

Authors: Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani

Comments: Under review

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

• Fri, 31 May 2024
• Thu, 30 May 2024
• Wed, 29 May 2024
• Tue, 28 May 2024
• Mon, 27 May 2024