![]() Off-Policy Actor-Critic with Emphatic Weightings Eric Graves, Ehsan Imani, Raksha Kumaraswamy, Martha White, 2023. Stochastic Optimization under Distributional Drift Joshua Cutler, Dmitriy Drusvyatskiy, Zaid Harchaoui, 2023. (Machine Learning Open Source Software Paper)Ĭontrolling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning Titouan Vayer, Rémi Gribonval, 2023.įast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang, 2023. MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang, 2023. Generalization error bounds for multiclass sparse linear classifiers Tomer Levy, Felix Abramovich, 2023. Selective inference for k-means clustering Yiqun T. Integrating Random Effects in Deep Neural Networks Giora Simchoni, Saharon Rosset, 2023.Īdaptive Data Depth via Multi-Armed Bandits Tavor Baharav, Tze Leung Lai, 2023.Īdapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd, 2023.Ĭonsistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process Cheng Zeng, Jeffrey W Miller, Leo L Duan, 2023. Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity Huan Li, Zhouchen Lin, 2023. Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations Arnab Ganguly, Riten Mitra, Jinpu Zhou, 2023.Īsynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees Hamid Reza Feyzmahdavian, Mikael Johansson, 2023. ![]() Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling Shoaib Bin Masud, Matthew Werenski, James M. Q-Learning in Continuous Time Yanwei Jia, Xun Yu Zhou, 2023. Zhang, 2023.įlexible Model Aggregation for Quantile Regression Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification Gavin Zhang, Salar Fattahi, Richard Y. Robust Methods for High-Dimensional Linear Learning Ibrahim Merad, Stéphane Gaïffas, 2023.Ī Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart, 2023. Inference on the Change Point under a High Dimensional Covariance Shift Abhishek Kaul, Hongjin Zhang, Konstantinos Tsampourakis, George Michailidis, 2023.īilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, 2023.Ī Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition Masaru Ito, Zhaosong Lu, Chuan He, 2023. Small Transformers Compute Universal Metric Embeddings Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanić, 2023.ĭART: Distance Assisted Recursive Testing Xuechan Li, Anthony D. Incremental Learning in Diagonal Linear Networks Raphaël Berthier, 2023. 2021.02.10: Volume 21 completed Volume 22 began.įrom Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions Johannes Resin, 2023.īeyond the Golden Ratio for Variational Inequality Algorithms Ahmet Alacaoglu, Axel Böhm, Yura Malitsky, 2023.2021.12.02: Message from outgoing co-EiC Bernhard Schölkopf.2022.02.18: New blog post: Retrospectives from 20 Years of JMLR.2022.07.20: New special issue on climate change.Paper volumes (ISSN 1532-4435) are now published and sold by ![]() Until the end of 2004, paper volumes (ISSNġ532-4435) were published 8 times annually and sold to libraries and Final versionsĪre published electronically (ISSN 1533-7928) JMLR has a commitment to rigorous yet rapid reviewing. ![]() ![]() High-quality scholarly articles in all areas of machine learning.Īll published papers are freely available online. International forum for the electronic and paper publication of The Journal of Machine Learning Research (JMLR), established in 2000, provides an ![]()
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