Journal Statistics

198
Journal of the Royal Statistical Society Series B
papers tracked
469
Journal of the American Statistical Association
papers tracked
180
Annals of Statistics
papers tracked
126
Biometrika
papers tracked
469
Journal of Machine Learning Research
papers tracked

Recent Papers

JMLR Sep 08, 2026
Symmetric Rank-k Methods

Chengchang Liu, Cheng chen, Luo Luo

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JMLR Sep 08, 2026
Efficient Inference under Label Shift in Unsupervised Domain Adaptation

Jiwei Zhao, Seong-ho Lee, Yanyuan Ma

Machine Learning
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JMLR Sep 08, 2026
Adaptive Algorithms for Infinitely Many-Armed Bandits: A Unified Framework

Emmanuel Pilliat

Computational Statistics
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JMLR Sep 08, 2026
Gradient Estimation for Mixture Variational Inference

Javier Burroni, Daniel Sheldon

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JMLR Sep 08, 2026
torchsom: The Reference PyTorch Library for Self-Organizing Maps

Louis Berthier, Ahmed Shokry, Maxime Moreaud et al.

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JMLR Sep 08, 2026
Safe Learning Under Irreversible Dynamics via Asking for Help

Benjamin Plaut, Juan Liévano-Karim, Hanlin Zhu et al.

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JMLR Sep 08, 2026
AgentPEN: A Prediction-Explanation Network for Sequential Stock Movement via LLMs and Recurrent Generation

Shuqi Li, Mengyao Guo, Yunzhong Zheng et al.

Statistical Learning
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JMLR Sep 08, 2026
Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection

Changliang Zou, Zhaojun Wang, Haojie Ren et al.

Hypothesis Testing
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JMLR Sep 08, 2026
Ehrenfeucht-Haussler Rank and Chain of Thought

Pablo Barceló, Alexander Kozachinskiy, Tomasz Steifer

Machine Learning
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JMLR Sep 08, 2026
scikit-activeml: A Comprehensive and User-Friendly Active Learning Library

Marek Herde, Minh Tuan Pham, Daniel Kottke et al.

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JMLR Sep 08, 2026
Locally Private Estimation with Public Features

Hanfang Yang, Yuheng Ma, Ke Jia

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JMLR Sep 08, 2026
Dimension Reduction for Derivative-Informed Operator Learning: An Analysis of Approximation Errors

Thomas O'Leary-Roseberry, Omar Ghattas, Peng Chen et al.

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JMLR Sep 08, 2026
Domain Adaptation Targeting Heterogeneous and Imbalanced Subgroups

Tianxi Cai, Doudou Zhou, Molei Liu et al.

Machine Learning
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