Journal of Machine Learning Research, Vol. 26, 2025
Articles
1. Efficiently Escaping Saddle Points in Bilevel Optimization. --Minhui Huang, Xuxing Chen, Kaiyi Ji, Shiqian Ma, Lifeng Lai
2. Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes. --Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
3. DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data. --Jiayi Tong, Jie Hu, George Hripcsak, Yang Ning, Yong Chen
4. Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization. --Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
5. Enhancing Graph Representation Learning with Localized Topological Features. --Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
6. Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents. --Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
7. A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. --Hugo Lebeau, Florent Chatelain, Romain Couillet
8. Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. --Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar
9. Test-Time Training on Video Streams. --Renhao Wang, Yu Sun, Arnuv Tandon, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
10. An Axiomatic Definition of Hierarchical Clustering. --Ery Arias-Castro, Elizabeth Coda
11. Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization. --Tianyi Lin, Chi Jin, Michael I. Jordan
12. Selective Inference with Distributed Data. --Sifan Liu, Snigdha Panigrahi
13. Estimating Network-Mediated Causal Effects via Principal Components Network Regression. --Alex Hayes, Mark M. Fredrickson, Keith Levin
14. Locally Private Causal Inference for Randomized Experiments. --Yuki Ohnishi, Jordan Awan
15. From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective. --Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang
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1. Efficiently Escaping Saddle Points in Bilevel Optimization. --Minhui Huang, Xuxing Chen, Kaiyi Ji, Shiqian Ma, Lifeng Lai
2. Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes. --Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
3. DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data. --Jiayi Tong, Jie Hu, George Hripcsak, Yang Ning, Yong Chen
4. Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization. --Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
5. Enhancing Graph Representation Learning with Localized Topological Features. --Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
6. Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents. --Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
7. A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. --Hugo Lebeau, Florent Chatelain, Romain Couillet
8. Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. --Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar
9. Test-Time Training on Video Streams. --Renhao Wang, Yu Sun, Arnuv Tandon, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
10. An Axiomatic Definition of Hierarchical Clustering. --Ery Arias-Castro, Elizabeth Coda
11. Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization. --Tianyi Lin, Chi Jin, Michael I. Jordan
12. Selective Inference with Distributed Data. --Sifan Liu, Snigdha Panigrahi
13. Estimating Network-Mediated Causal Effects via Principal Components Network Regression. --Alex Hayes, Mark M. Fredrickson, Keith Levin
14. Locally Private Causal Inference for Randomized Experiments. --Yuki Ohnishi, Jordan Awan
15. From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective. --Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang
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Huang, Minhui - Personal Name
Ohnishi, Yuki - Personal Name
Hayes, Alex - Personal Name
Liu, Sifan - Personal Name
Lin, Tianyi - Personal Name
Arias-Castro, Ery - Personal Name
Wang, Renhao - Personal Name
Zhao, Boxin - Personal Name
Lebeau, Hugo - Personal Name
Pleines, Marco - Personal Name
Yan, Zuoyu - Personal Name
Mathelin, Antoine de - Personal Name
Tong, Jiayi - Personal Name
Riou, Charles - Personal Name
Guo, Shaojun - Personal Name
Ohnishi, Yuki - Personal Name
Hayes, Alex - Personal Name
Liu, Sifan - Personal Name
Lin, Tianyi - Personal Name
Arias-Castro, Ery - Personal Name
Wang, Renhao - Personal Name
Zhao, Boxin - Personal Name
Lebeau, Hugo - Personal Name
Pleines, Marco - Personal Name
Yan, Zuoyu - Personal Name
Mathelin, Antoine de - Personal Name
Tong, Jiayi - Personal Name
Riou, Charles - Personal Name
Guo, Shaojun - Personal Name
Vol. 26, 2025
1533-7928
Printed Book
Inggris
JMLR Inc. - Microtome Publishing
2025
USA
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