Journal Statistics

69
Journal of the Royal Statistical Society Series B
papers tracked
212
Journal of the American Statistical Association
papers tracked
126
Annals of Statistics
papers tracked
55
Biometrika
papers tracked
270
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Jan 20, 2026
Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators

Matias D. Cattaneo, Yingjie Feng, Boris Shigida

Nonparametric Statistics
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AOS Jan 20, 2026
High-order Accurate Inference on Manifolds

Anru Zhang, Chengzhu Huang

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AOS Jan 20, 2026
Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions

Aukosh Jagannath, Gerard Ben Arous, Reza Gheissari et al.

High-Dimensional Statistics
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AOS Jan 20, 2026
Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment

Yinrui Sun, Yin Xia

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AOS Jan 20, 2026
Approximate independence of permutation mixtures

Yanjun Han, Jonathan Niles-Weed

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AOS Jan 06, 2026
A novel statistical approach to analyze image classification

Juntong Chen, Sophie Langer, Johannes Schmidt-Hieber

Machine Learning
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AOS Jan 02, 2026
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps

Dong Xia, Wanteng Ma

Machine Learning Computational Statistics
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AOS Jan 02, 2026
Dual Induction CLT for High-dimensional m-dependent Data

Heejong Bong, Arun Kumar Kuchibhotla, Alessandro Rinaldo

High-Dimensional Statistics
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AOS Jan 02, 2026
Minimax optimal seriation in polynomial time

Yann Issartel, Christophe Giraud, Nicolas Verzelen

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JMLR Dec 30, 2025
Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin

Akshay Kumar, Jarvis Haupt

Machine Learning
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JMLR Dec 30, 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

Jie Peng, Qing Ling, Qiankun Shi et al.

Computational Statistics
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JMLR Dec 30, 2025
Towards Unified Native Spaces in Kernel Methods

Xavier Emery, Emilio Porcu, Moreno Bevilacqua

Nonparametric Statistics
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JMLR Dec 30, 2025
TorchCP: A Python Library for Conformal Prediction

Jianguo Huang, Jianqing Song, Xuanning Zhou et al.

Statistical Learning
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JMLR Dec 30, 2025
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval

Saul Santos, Vlad Niculae, Daniel McNamee et al.

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JMLR Dec 30, 2025
Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

Juraj Bodik, Valérie Chavez-Demoulin

Causal Inference
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JMLR Dec 30, 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models

Elisabeth Gassiat, Eric Aubinais, Pablo Piantanida

Machine Learning
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JMLR Dec 30, 2025
On the Robustness of Kernel Goodness-of-Fit Tests

François-Xavier Briol, Xing Liu

Nonparametric Statistics
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JMLR Dec 30, 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

Defeng Sun, Zhenting Luan, Haoning Wang et al.

High-Dimensional Statistics Statistical Learning Time Series
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JMLR Dec 30, 2025
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction

Ying Cui, Jake Roth

Machine Learning Computational Statistics
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JMLR Dec 30, 2025
Collaborative likelihood-ratio estimation over graphs

Nicolas Vayatis, Alejandro de la Concha, Argyris Kalogeratos

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