JMLR

Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning

Jiaming Zhang, Yujie Yang, Haoning Wang, Liping Zhang, Shengbo Eben Li

机构 * Department of Mathematical Sciences Tsinghua University（清华大学数学科学系） ； School of Vehicle and Mobility Tsinghua University（清华大学车辆与移动系统学院） ； Department of Mathematical Sciences, Tsinghua University（清华大学数学科学系） ； School of Vehicle and Mobility & College of AI Tsinghua University（清华大学车辆与移动系统学院与人工智能学院） 纠错

Comments Submitted to the Journal of Machine Learning Research (JMLR), under review

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang

Comments Journal of Machine Learning Research (JMLR), 2025

Localisation of Regularised and Multiview Support Vector Machine Learning

Aurelian Gheondea, Cankat Tilki

机构 * Department of Mathematics, Bilkent University, 06800 Bilkent, Ankara, Turkey（数学系，比尔肯特大学） ； Department of Mathematics（数学系） ； Data Analytics, Virginia Polytechnic Institute（数据分析，弗吉尼亚理工学院） ； State University, Blacksburg Virginia, 24061 U.S.A.（州大学，布莱克斯堡弗吉尼亚，24061美国） 纠错

Comments 39 pages

Journal ref Journal of Machine Learning Research 25 (2024) 1-47

Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability

Céline Comte, Matthieu Jonckheere, Jaron Sanders, Albert Senen-Cerda

机构 * LAAS–CNRS, Université de Toulouse, CNRS（LAAS–CNRS，图卢兹大学，CNRS） ； Eindhoven University of Technology（埃因霍温理工大学） ； LAAS-CNRS, IRIT, and Université de Toulouse（LAAS-CNRS，IRIT，图卢兹大学） 纠错

Journal ref Journal of Machine Learning Research 26, no. 132 (2025): 1-74

Adaptive Forests For Classification

Dimitris Bertsimas, Yubing Cui

机构 * Sloan School of Management and Operations Research Center（斯隆管理学院和运筹学研究中心） ； Massachusetts Institute of Technology（麻省理工学院） ； Operations Research Center（运筹学研究中心） 纠错

Comments Under review at JMLR

On the Robustness of Kernel Goodness-of-Fit Tests

Xing Liu, François-Xavier Briol

机构 * QuantCo ； Department of Statistical Science University College London（伦敦大学统计科学系） 纠错

Comments 72 pages, 15 figures

Journal ref Journal of Machine Learning Research 2025

Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs

Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Başar, Mihailo R. Jovanović

机构 * University of Tennessee, Knoxville（田纳西大学） ； University of Maryland, College Park（马里兰大学） ； Apple Inc.（苹果公司） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； University of Southern California（南加州大学） 纠错

Comments 76 pages, 4 figures, 2 tables; Journal version of the NeurIPS 2020 paper; Accepted to JMLR

An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition

Qihang Lin, Negar Soheili, Runchao Ma, Selvaprabu Nadarajah

Comments Accepted by Journal of Machine Learning Research

Ontolearn-A Framework for Large-scale OWL Class Expression Learning in Python

Caglar Demir, Alkid Baci, N'Dah Jean Kouagou, Leonie Nora Sieger, Stefan Heindorf, Simon Bin, Lukas Blübaum, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo

机构 * Paderborn University（帕德博恩大学） 纠错

Journal ref Journal of Machine Learning Research 26 (2025) 1-6

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden

机构 * Center for Cosmology and Particle Physics New York University（纽约大学宇宙与粒子物理中心） ； Courant Institute of Mathematical Sciences New York University（纽约大学数学科学学院） 纠错

Comments JMLR Version

Fundamental Limits of Membership Inference Attacks on Machine Learning Models

Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida

机构 * Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay（巴黎萨克雷大学，CNRS，奥赛数学实验室） 纠错

Comments Accepted for publication in JMLR

Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency

Tetiana Gorbach, Xavier de Luna, Juha Karvanen, Ingeborg Waernbaum

Journal ref Journal of Machine Learning Research, 2023, Vol 197, pages 1-65

Low-rank variational Bayes correction to the Laplace method

Janet van Niekerk, Haavard Rue

Journal ref Van Niekerk, J. and Rue, H., 2024. Low-rank variational Bayes correction to the Laplace method. Journal of Machine Learning Research, 25(62), pp.1-25

Least Volume Analysis

Qiuyi Chen, Cashen Diniz, Mark Fuge

机构 * GE Vernova Advanced Research Center（GE Vernova高级研究部） ； Department of Mechanical and Process Engineering（机械与过程工程系） 纠错

Comments 60 pages, Draft for JMLR

Physics-informed kernel learning

Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer

机构 * Sorbonne University, EDF R&D（索邦大学，EDF研究与开发） ； INRIA, École Normale Supérieure, PSL University（INRIA，巴黎高等师范学院，PSL大学） ； Sorbonne University, Institut universitaire de France（索邦大学，法国国家科学研究中心） ； Université Paris-Saclay, Institut universitaire de France（巴黎萨克雷大学，法国国家科学研究中心） 纠错

Journal ref Journal of Machine Learning Research, 26:1-39, 2025

A Framework for Improving the Reliability of Black-box Variational Inference

Manushi Welandawe, Michael Riis Andersen, Aki Vehtari, Jonathan H. Huggins

机构 * Department of Mathematics \& Statistics, Boston University, mw ； DTU Compute, Technical University of Denmark, mra ； Department of Computer Science, Aalto University, av ； Faculty of Computing \& Data Sciences, Boston University, jh 纠错

Journal ref Journal of Machine Learning Research, 25(219):1-71, 2024

Predictive Performance of LSTM Networks on Sectoral Stocks in an Emerging Market: A Case Study of the Pakistan Stock Exchange

Ahad Yaqoob, Syed M. Abdullah

Comments 11 pages, 10 figures. Ancillary files to reproduce results available at https://drive.google.com/drive/folders/1t15Q5TQ0xbEAdQo7j05LQsO1XHTAlPEr Random seeder is set to 42. This paper is also to be submitted to Journal of Machine Learning Research (JMLR) after feedback and response

Multiple Instance Verification

Xin Xu, Eibe Frank, Geoffrey Holmes

机构 * Department of Computer Science University of Waikato（计算机科学系 威基托大学） 纠错

Comments JMLR 2025

Journal ref Journal of Machine Learning Research 26(188):1-46, 2025

Early alignment in two-layer networks training is a two-edged sword

Etienne Boursier, Nicolas Flammarion

机构 * Université Paris-Saclay, CNRS, Inria, Laboratoire de mathématiques d’Orsay（巴黎-萨克雷大学、法国国家科学研究中心、法国国家信息与自动化技术研究院、奥赛数学实验室） ； TML Lab, EPFL, Switzerland（瑞士联邦理工学院（EPFL）） 纠错

Comments Official JMLR version

Geometry and Stability of Supervised Learning Problems

Facundo Mémoli, Brantley Vose, Robert C. Williamson

机构 * University of Tübingen and Tübingen AI Center（图宾根大学和图宾根人工智能中心） 纠错

Comments 99 pages, to be published in Journal of Machine Learning Research 26 (2025) 1-99

Efficient Methods for Non-stationary Online Learning

Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou

机构 * National Key Laboratory for Novel Software Technology, Nanjing University, China（国家新型软件技术重点实验室，南京大学） ； School of Artificial Intelligence, Nanjing University, China（人工智能学院，南京大学） 纠错

Comments V3 changes: accepted by JMLR 2025 and improve the writing; V2/V1 changes: investigate interval dynamic regret and add two applications (online non-stochastic control and online PCA) and improve the presentation; preliminary version published at NeurIPS'22

Journal ref Journal of Machine Learning Research, 2025

Near-Optimal Weighted Matrix Completion

Oscar López

Comments 41 pages, 2 figures

Journal ref Journal of Machine Learning Research, 24(283):1-40, 2023

Autoencoders in Function Space

Justin Bunker, Mark Girolami, Hefin Lambley, Andrew M. Stuart, T. J. Sullivan

机构 * Department of Engineering, University of Cambridge and Alan Turing Institute（剑桥大学工程系和艾伦·图灵研究所） ； Department of Engineering University of Cambridge（剑桥大学工程系） ； Mathematics Institute University of Warwick（沃里克大学数学系） ； Computing + Mathematical Sciences California Institute of Technology（加州理工学院计算与数学科学学院） ； Mathematics Institute & School of Engineering University of Warwick（沃里克大学数学系与工程学院） 纠错

Comments 54 pages, 24 figures

Journal ref Journal of Machine Learning Research 26(165):1--54 (2025)

Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

Gabriel Arpino, Xiaoqi Liu, Julia Gontarek, Ramji Venkataramanan

机构 * Department of Engineering, University of Cambridge（剑桥大学工程系） 纠错

Comments 49 pages, 9 figures. To appear in the Journal of Machine Learning Research

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery

Zhen Qin, Michael B. Wakin, Zhihui Zhu

机构 * Department of Computer Science and Engineering Ohio State University（计算机科学与工程系俄亥俄州立大学） ； Department of Electrical Engineering Colorado School of Mines（电气工程系科罗拉多矿业学院） 纠错

Journal ref Journal of Machine Learning Research (December 2024)

High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces

Shihao Shao, Yikang Li, Zhouchen Lin, Qinghua Cui

机构 * State Key Lab of Vascular Homeostasis and Remodeling（血管稳态与重塑国家重点实验室） ； Department of Bioinformatics（生物信息学系） ； School of Basic Medical Sciences, Peking University（北京大学基础医学学院） ； State Key Lab for General AI（通用人工智能国家重点实验室） ； School of Intelligence Science and Technology, Peking University（北京大学智能科学与技术学院） ； Peking University, China（北京大学，中国） ； Pazhou Laboratory (Huangpu), China（琶洲实验室（黄埔），中国） 纠错

Comments 53 pages. Accepted to JMLR

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Jannis Chemseddine, Paul Hagemann, Gabriele Steidl, Christian Wald

机构 * Technical University of Berlin（柏林技术大学） 纠错

Comments This paper supersedes arXiv:2310.13433, accepted at JMLR

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components

Naichen Shi, Salar Fattahi, Raed Al Kontar

Journal ref Journal of Machine Learning Research, 2024

Personalized PCA: Decoupling Shared and Unique Features

Naichen Shi, Raed Al Kontar

Journal ref Journal of Machine Learning Research 2024, 25(41):1-82

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits

Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti

Journal ref Journal of Machine learning Research (JMLR), 2022