Novel Knockoff Generation and Importance Measures with Heterogeneous Data via Conditional Residuals and Local Gradients
Comments Submitted to JMLR
期刊&会议
JMLR
Journal of Machine Learning Research · 期刊 · Machine Learning
Semiparametric inference using fractional posteriors
Comments 61 pages, 2 figures
Journal ref Journal of Machine Learning Research 24(389) (2023), 1-61
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
机构 * Apple（苹果公司） ； ICTEAM/INMA, UCLouvain（ICTEAM/INMA，洛伦万大学） ； ICMSEC/LSEC, AMSS, Chinese Academy of Sciences（ICMSEC/LSEC，应用数学研究所，中国科学院）
Journal ref Journal of Machine Learning Research, 25:389, pp. 1-38, 2024
Score-based Causal Representation Learning: Linear and General Transformations
Comments Published in Journal of Machine Learning Research (5/25)
Journal ref Journal of Machine Learning Research 26(112):1-90, 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
机构 * Department of Statistics University of Warwick（统计系 华威大学） ； School of Mathematics University of Bristol（数学系 布里斯托大学）
Journal ref Journal of Machine Learning Research, 26(103):1-38, 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
机构 * UC Berkeley（伯克利大学） ； Google DeepMind（谷歌DeepMind）
Comments Journal of Machine Learning Research (2025), volume 26
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
Journal ref https://jmlr.org/papers/v26/24-1989.html
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection
机构 * Delft Center for Systems and Control（德雷夫特系统与控制中心） ； Delft University of Technology（德雷夫特理工大学）
Comments 39 pages, 5 figures, 4 tables. Submitted to Journal of Machine Learning Research. The code is available at: https://github.com/afrakilic/BTN-Kernel-Machines. arXiv admin note: text overlap with arXiv:1401.6497 by other authors
Discretization-independent multifidelity operator learning for partial differential equations
机构 * Department of Mathematics and Statistics, Missouri University of Science and Technology（数学与统计学系，密苏里科学与技术大学）
Comments 33 pages, 9 figures, submitted to the Journal of Machine Learning Research
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
Comments Accepted for publication in the Journal of Machine Learning Research in May 2025
Fractional Policy Gradients: Reinforcement Learning with Long-Term Memory
机构 * Department of Computer Engineering, Zeal College of Engineering and Research（计算机工程系，Zeal工程与研究学院）
Comments Submitted to Journal of Machine Learning Research (JMLR), June 2025. 24 pages, 3 figures. Under review
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Comments Published in Journal of Machine Learning Research (JMLR). Extended from DIFFormer in ICLR 2023
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
机构 * Department of Computer Science Aalto University（计算机科学系 阿尔沃大学）
Comments JMLR accepted version, including an extension of the theory to general finite groups (including non-abelian groups)
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
机构 * Dipartimento di Matematica Politecnico di Milano（米兰理工数学系） ； Dipartimento di Fisica Università degli Studi di Milano（米兰大学物理系） ； Istituto Nazionale di Fisica Nucleare – Sezione di Milano（米兰国家核物理研究所） ； Donders Institute for Brain, Cognition and Behaviour Radboud University（拉德堡德大学大脑与认知行为研究所） ； Laboratoire de Physique École Normale Supérieure, CNRS, PSL University, Sorbonne University, Université Paris-Cité（巴黎高等师范学院物理实验室，CNRS，PSL大学，索邦大学，巴黎城市大学） ； Quantitative Life Sciences The Abdus Salam International Centre for Theoretical Physics（定量生命科学阿布杜勒·萨拉姆国际理论物理中心） ； Dipartimento di Scienze Matematiche, Fisiche e Informatiche Università degli Studi di Parma（帕尔马大学数学、物理和信息科学系）
Journal ref Journal of Machine Learning Research 26(88):1-35, 2025. URL: http://jmlr.org/papers/v26/24-1158.html
Hierarchical Decision Making Based on Structural Information Principles
机构 * School of Computer Science and Engineering Beihang University（计算机科学与工程学院 北航） ； School of Cyber Science and Technology Beihang University（网络安全科学与技术学院 北航）
Comments Submitted to JMLR
Stable and consistent density-based clustering via multiparameter persistence
Comments 74 pages, 16 figures, 5 tables. v4: improvements to exposition
Journal ref Journal of Machine Learning Research, 25(258):1-74, 2024
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback
Comments Accepted for publication in JMLR. This extended version includes detailed proofs of several extensions and additional experimental results
A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
机构 * IMT Atlantique, UMR CNRS 6285 Lab-STICC（IMT Atlantique，CNRS 6285 Lab-STICC）
Comments Updated version in JMLR style. This version matches the manuscript currently under review at JMLR and includes substantial improvements over the original arXiv version
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Comments 47 pages, 5 figures. Accepted for publication in JMLR
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
Comments Final version
Journal ref Journal of Machine Learning Research 26(87) 2025
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
Journal ref Journal of Machine Learning Research 25 (2004) 1-65
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Comments 51 pages, 4 figures, proof of LCA for sub-Gaussian measures (Theorem 3.13) corrected
Journal ref Journal of Machine Learning Research 25 (2024) 1-55
Deletion Robust Non-Monotone Submodular Maximization over Matroids
Comments Preliminary versions of this work appeared as arXiv:2201.13128 and in ICML'22. The main difference with respect to these versions consists in extending our results to non-monotone submodular functions
Journal ref Journal of Machine Learning Research 26 (2025) 1-28
Convex optimization over a probability simplex
机构 * School of Mathematics and Maxwell Institute for Mathematical Sciences, The University of Edinburgh（爱丁堡大学数学学院和麦克斯韦数学科学研究所） ； Department of Applied Mathematics and Theoretical Physics, University of Cambridge（剑桥大学应用数学与理论物理系）
Journal ref Journal of Machine Learning Research (2025)
Implicit vs Unfolded Graph Neural Networks
机构 * University of Michigan（密歇根大学） ； Alibaba Hangzhou（阿里巴巴（杭州）） ； University of California, San Diego（加州大学圣地亚哥分校） ； Fudan University（复旦大学） ； Amazon Web Services（亚马逊网络服务）
Comments A version of this work has been accepted to the Journal of Machine Learning Research
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling
机构 * Rutgers Business School（罗格斯商学院） ； Florida State University（佛罗里达州立大学）
Journal ref Journal of Machine Learning Research 2024, Vol. 25, No. 263, 1-67
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
机构 * Department of Mechanical Engineering, University of California, Berkeley（加州大学伯克利分校机械工程系） ； Department of Electrical Engineering and Computer Sciences, University of California, Berkeley（加州大学伯克利分校电气工程与计算机科学系）
Comments Accepted for publication in the Journal of Machine Learning Research (JMLR). This is an extension of our IEEE CDC 2020 conference paper arXiv:2004.00570
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
机构 * Electrical and Computer Engineering University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校电气与计算机工程学院） ； Industrial and Operations Engineering University of Michigan（密歇根大学工业与运营工程学院）
Comments v2: accepted at JMLR. v3: minor correction in proof of Lemma 27
Composite Goodness-of-fit Tests with Kernels
机构 * Centre for Artificial Intelligence, University College London（大学学院伦敦大学人工智能中心） ； Gatsby Computational Neuroscience Unit, University College London（大学学院伦敦大学盖茨比计算神经科学单位） ； Department of Statistical Science, University College London（大学学院伦敦大学统计科学系） ； Faculty of Engineering and Science, Adolfo Ibañez University（工程与科学学院，阿道弗·伊巴涅斯大学）
Journal ref Journal of Machine Learning Research 26(51):1-60 2025
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Comments 61 pages, 4 tables, 11 Figures
Journal ref Journal of Machine Learning Research 26(60) (2025) 1-84
