Journal Statistics

126
Journal of the Royal Statistical Society Series B
papers tracked
297
Journal of the American Statistical Association
papers tracked
136
Annals of Statistics
papers tracked
90
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JMLR Mar 03, 2026
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective

Yuling Jiao, Yanming Lai, Yang Wang et al.

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JMLR Mar 03, 2026
Online Bernstein-von Mises theorem

Jeyong Lee, Minwoo Chae, Junhyeok Choi

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JMLR Mar 03, 2026
Covariate-dependent Hierarchical Dirichlet Processes

Sara Wade, Huizi Zhang, Natalia Bochkina

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JMLR Mar 03, 2026
DCatalyst: A Unified Accelerated Framework for Decentralized Optimization

Gesualdo Scutari, TIanyu Cao, Xiaokai Chen

Computational Statistics
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JMLR Mar 03, 2026
Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models

Jonas Peters, Niklas Pfister, Sebastian Engelke et al.

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JMLR Mar 03, 2026
Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas

Esther Rolf, Lucia Gordon, Milind Tambe et al.

Machine Learning
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JMLR Mar 03, 2026
A Symplectic Analysis of Alternating Mirror Descent

Jonas E. Katona, Xiuyuan Wang, Andre Wibisono

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JMLR Mar 03, 2026
Two-way Node Popularity Model for Directed and Bipartite Networks

Ting Li, Bing-Yi Jing, Jiangzhou Wang et al.

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JMLR Mar 03, 2026
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization

Deanna Needell, Laura Balzano, Yuchen Li et al.

Machine Learning Computational Statistics
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JMLR Mar 03, 2026
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood

Jiangrong Ouyang, Mingming Gong, Howard Bondell

Bayesian Statistics
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JMLR Mar 03, 2026
A causal fused lasso for interpretable heterogeneous treatment effects estimation

Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla et al.

Causal Inference High-Dimensional Statistics
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JMLR Mar 03, 2026
Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization

Defeng Sun, Liping Zhang, Yan Li

Machine Learning
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JMLR Mar 03, 2026
Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

Zhi-Hua Zhou, Jin-Hui Wu, Shao-Qun Zhang et al.

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JMLR Mar 03, 2026
Hierarchical Causal Models

Eli N. Weinstein, David M. Blei

Causal Inference
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JMLR Mar 03, 2026
Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection

Addison Kristanto Julistiono, Davoud Ataee Tarzanagh, Navid Azizan

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JMLR Mar 03, 2026
Adaptive Forward Stepwise: A Method for High Sparsity Regression

Ivy Zhang, Robert Tibshirani

Machine Learning
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JMLR Mar 03, 2026
Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width

Ding-Xuan Zhou, Yunwen Lei, Puyu Wang et al.

Computational Statistics
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JMLR Mar 03, 2026
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection

Steven Adams, Andrea Patanè, Morteza Lahijanian et al.

Machine Learning Bayesian Statistics
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JMLR Mar 03, 2026
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration

Sophie Jaffard, Samuel Vaiter, Patricia Reynaud-Bouret

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JMLR Mar 03, 2026
Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals

Hugo Henneuse

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