JMLR

Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable

Baoluo Sun, Yifan Cui, Eric Tchetgen Tchetgen

Comments To appear in Journal of Machine Learning Research

Linear-time inference for Gaussian Processes on one dimension

Jackson Loper, David Blei, John P. Cunningham, Liam Paninski

Comments Accepted to JMLR

Journal ref The Journal of Machine Learning Research, 2021

Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs

Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long

Comments 47 pages, camera-ready version for JMLR 2022

Clustering with Semidefinite Programming and Fixed Point Iteration

Pedro Felzenszwalb, Caroline Klivans, Alice Paul

Journal ref Journal of Machine Learning Research 23 (2002)

Improved Generalization Bounds for Adversarially Robust Learning

Idan Attias, Aryeh Kontorovich, Yishay Mansour

Comments JMLR camera ready

MurTree: Optimal Classification Trees via Dynamic Programming and Search

Emir Demirović, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey

Journal ref Journal of Machine Learning Research 2022

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements

Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi

Comments Accepted to Journal of Machine Learning Research

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

William Fedus, Barret Zoph, Noam Shazeer

Comments JMLR

Projection-free Distributed Online Learning with Sublinear Communication Complexity

Yuanyu Wan, Guanghui Wang, Wei-Wei Tu, Lijun Zhang

Comments This version was submitted to JMLR on November 23, 2021

Distributed Bootstrap for Simultaneous Inference Under High Dimensionality

Yang Yu, Shih-Kang Chao, Guang Cheng

Comments To appear in JMLR. arXiv admin note: text overlap with arXiv:2002.08443

Deep Reinforcement Learning with Weighted Q-Learning

Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi

Comments RLDM 2022. For a complete discussion and additional results, check our JMLR paper at https://www.jmlr.org/papers/v22/20-633.html

Topologically penalized regression on manifolds

Olympio Hacquard, Krishnakumar Balasubramanian, Gilles Blanchard, Clément Levrard, Wolfgang Polonik

Journal ref JMLR, 2022

An error analysis of generative adversarial networks for learning distributions

Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang

Journal ref Journal of Machine Learning Research, 23(116):1-43, 2022

Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent

David Holzmüller, Ingo Steinwart

Comments To appear in Journal of Machine Learning Research (JMLR). Changes in v3: Added new Section 10 with extensive experimental evaluation. Code available at https://github.com/dholzmueller/nn_inconsistency

Fairness-Aware PAC Learning from Corrupted Data

Nikola Konstantinov, Christoph H. Lampert

Comments In Journal of Machine Learning Research (JMLR): http://jmlr.org/papers/v23/21-1189.html

Sparse Additive Gaussian Process Regression

Hengrui Luo, Giovanni Nattino, Matthew T. Pratola

Journal ref Journal of Machine Learning Research, 2022

Transfer Learning in Information Criteria-based Feature Selection

Shaohan Chen, Nikolaos V. Sahinidis, Chuanhou Gao

Comments Accepted to the Journal of Machine Learning Research

Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders

Oskar Allerbo, Rebecka Jörnsten

Journal ref Journal of Machine Learning Research 22 (2021) 1-28

Darts: User-Friendly Modern Machine Learning for Time Series

Julien Herzen, Francesco Lässig, Samuele Giuliano Piazzetta, Thomas Neuer, Léo Tafti, Guillaume Raille, Tomas Van Pottelbergh, Marek Pasieka, Andrzej Skrodzki, Nicolas Huguenin, Maxime Dumonal, Jan Kościsz, Dennis Bader, Frédérick Gusset, Mounir Benheddi, Camila Williamson, Michal Kosinski, Matej Petrik, Gaël Grosch

Comments Darts Github repository: https://github.com/unit8co/darts

Journal ref Journal of Machine Learning Research 23 (2022) 1-6

On the Efficiency of Entropic Regularized Algorithms for Optimal Transport

Tianyi Lin, Nhat Ho, Michael I. Jordan

Comments Accepted by Journal of Machine Learning Research; A preliminary version [arXiv:1901.06482] of this paper, with a subset of the results that are presented here, was presented at ICML 2019; 39 pages, 21 figures

No Weighted-Regret Learning in Adversarial Bandits with Delays

Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet

Comments Accepted to JMLR. This is an extended journal version of the preliminary conference paper "Online EXP3 Learning in Adversarial Bandits with Delayed Feedback" published in Neurips 2019

Explaining by Removing: A Unified Framework for Model Explanation

Ian Covert, Scott Lundberg, Su-In Lee

Comments Updated with JMLR revisions, arXiv admin note: text overlap with arXiv:2011.03623

An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity

Wei Liu, Xin Liu, Xiaojun Chen

Comments Submitted to Journal of Machine Learning Research

Truncated Emphatic Temporal Difference Methods for Prediction and Control

Shangtong Zhang, Shimon Whiteson

Comments Journal of Machine Learning Research 2022

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri

Comments 46 pages

Journal ref Journal of Machine Learning Research 23(129): 1-46, 2022

Conditions and Assumptions for Constraint-based Causal Structure Learning

Kayvan Sadeghi, Terry Soo

Comments 34 pages, 6 figures

Journal ref Journal of Machine Learning Research 23 (2022) 1-34

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization

Quanming Yao, Yaqing Wang, Bo Han, James Kwok

Comments Accepted to JMLR in 2022

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

Sébastien Forestier, Rémy Portelas, Yoan Mollard, Pierre-Yves Oudeyer

Comments Accepted at JMLR 2022

Data driven weak universal consistency

N. Santhanam, V. Anantharam, W. Szpankowski

Comments Published in JMLR 2022

Journal ref Journal of Machine Learning Research 23 (2022) 1-55

Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks

Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli

Comments Accepted to the Journal of Machine Learning Research (JMLR)