Journal Statistics

215
Journal of the Royal Statistical Society Series B
papers tracked
520
Journal of the American Statistical Association
papers tracked
189
Annals of Statistics
papers tracked
148
Biometrika
papers tracked
512
Journal of Machine Learning Research
papers tracked

Recent Papers

JMLR Nov 08, 2026
Semidefinite programming relaxations and debiasing for MAXCUT-based clustering

Shuheng Zhou

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JMLR Nov 08, 2026
Sample-Efficient Regret-Minimizing Double Oracle in Two-Player Zero-Sum Extensive-Form Games

Xiaohang Tang, Chiyuan Wang, Chengdong Ma et al.

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JMLR Nov 08, 2026
CLASSIX: A High-Performance Library for Explainable Clustering

Xinye Chen, Stefan Güttel, Kaustubh Roy

Machine Learning
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JMLR Nov 08, 2026
Bayesian Predictive Inference Beyond Martingales

Marco Battiston, Lorenzo Cappello

Bayesian Statistics
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JMLR Nov 08, 2026
A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link

Eric Weine, Peter Carbonetto, Rafael A. Irizarry et al.

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JMLR Nov 08, 2026
Anderson Mixing in Bures–Wasserstein Space of Gaussian Measures

Vitalii Aksenov, Martin Eigel, Mathias Oster

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JMLR Nov 08, 2026
Stochastic Bilevel Optimization with Heavy-Tailed Noise

Luo Luo, Zhuanghua Liu

Machine Learning Computational Statistics
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JMLR Nov 08, 2026
Provable Hierarchical Martingale-based Testing for Visual Anomaly Detection

Jie Wu, Xinsong Ma, Xin Zou et al.

Hypothesis Testing
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JMLR Nov 08, 2026
Flexible Modeling of Information Diffusion on Networks with Statistical Guarantees

Elizaveta Levina, Ji Zhu, Alexander Kagan

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JMLR Nov 08, 2026
Alternating Regret for Online Convex Optimization

Soumita Hait, Ping Li, Haipeng Luo et al.

Computational Statistics
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JMLR Nov 08, 2026
Discovering and Reasoning of Causality in the Hidden World with Large Language Models

Mingming Gong, Kun Zhang, Bo Han et al.

Causal Inference
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JMLR Nov 08, 2026
Learning with Importance-weighted Variational Inference

Kamélia Daudel, François Roueff

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JMLR Nov 08, 2026
Sharp Generalization for Nonparametric Regression in Interpolation Space by Over-Parameterized Neural Networks Trained with Preconditioned Gradient Descent and Early Stopping

Ping Li, Yingzhen Yang

Nonparametric Statistics Machine Learning
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JMLR Nov 08, 2026
SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data

Emmanuel Hartman, Nicolas Charon

Machine Learning
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JMLR Nov 08, 2026
Reluctant Interaction Inference after Additive Modeling

Snigdha Panigrahi, Jacob Bien, Yiling Huang et al.

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JMLR Nov 08, 2026
Efficient Estimation of Average Treatment Effect on the Treated under Endogenous Treatment Assignment

Jiwei Zhao, Jiawei Shan, Trinetri Ghosh et al.

Causal Inference
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JMLR Nov 08, 2026
Weisfeiler-Lehman Meets Optimal Transport: Theory, Algorithms, and Implications

Yusu Wang, Facundo Mémoli, Samantha Chen et al.

Computational Statistics
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JMLR Nov 08, 2026
Residual connections provably mitigate oversmoothing in graph neural networks

Yury Polyanskiy, Shi Chen, Ziang Chen et al.

Nonparametric Statistics Machine Learning
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JMLR Nov 08, 2026
Atlas Gaussian processes on restricted domains and point clouds

Yizhu Wang, Xiaochen Yang, Mu Niu et al.

Machine Learning
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JMLR Nov 08, 2026
Likelihood-based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants

Yujie Chen, Anindya Bhadra, Antik Chakraborty

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