JMLR Volume 27
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The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs (1):1−50, 2026 codePDF BibTeX
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Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios?
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Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors
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Identifying Weight-Variant Latent Causal Models
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi (4):1−49, 2026 codePDF BibTeX
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Classification Under Local Differential Privacy with Model Reversal and Model Averaging
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Stochastic Gradient Methods: Bias, Stability and Generalization
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Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
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skwdro: a library for Wasserstein distributionally robust machine learning
Vincent Florian, Waïss Azizian, Franck Iutzeler, Jérôme Malick (8):1−7, 2026 codePDF BibTeX
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Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
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A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation
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Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations
Cornelia Schneider, Mario Ullrich, Jan Vybíral (11):1−41, 2026 PDF BibTeX
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Nonlinear function-on-function regression by RKHS
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UQLM: A Python Package for Uncertainty Quantification in Large Language Models
Dylan Bouchard, Mohit Singh Chauhan, David Skarbrevik, Ho-Kyeong Ra, Viren Bajaj, Zeya Ahmad (13):1−10, 2026 codePDF BibTeX
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A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan (14):1−55, 2026 codePDF BibTeX
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Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence
Siming Zheng, Guohao Shen, Yuanyuan Lin, Jian Huang (15):1−60, 2026 PDF BibTeX
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Flexible Functional Treatment Effect Estimation
Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang, Kwun Chuen Gary Chan (16):1−48, 2026 PDF BibTeX
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Neural Network Parameter-optimization of Gaussian Pre-marginalized Directed Acyclic Graphs
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Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification
Aleksi Avela, Pauliina Ilmonen (18):1−28, 2026 codePDF BibTeX
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An Anytime Algorithm for Good Arm Identification
Marc Jourdan, Andrée Delahaye-Duriez, Clémence Réda (19):1−90, 2026 PDF BibTeX
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Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation
Terrance D. Savitsky, Julie Gershunskaya (20):1−32, 2026 PDF BibTeX
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Learning Bayesian Network Classifiers to Minimize Class Variable Parameters
Shouta Sugahara, Koya Kato, James Cussens, Maomi Ueno (21):1−41, 2026 PDF BibTeX
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Nonparametric Estimation of a Factorizable Density using Diffusion Models
Hyeok Kyu Kwon, Dongha Kim, Ilsang Ohn, Minwoo Chae (22):1−125, 2026 PDF BibTeX
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The Distribution of Ridgeless Least Squares Interpolators
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LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport
Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef Marzouk, Omar Ghattas (24):1−71, 2026 codePDF BibTeX
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A Common Interface for Automatic Differentiation
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Refined Risk Bounds for Unbounded Losses via Transductive Priors
Jian Qian, Alexander Rakhlin, Nikita Zhivotovskiy (26):1−64, 2026 PDF BibTeX
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Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Zijian Guo, Wei Yuan, Cunhui Zhang (27):1−79, 2026 PDF BibTeX
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Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information
Miaomiao Yu, Zhongfeng Jiang, Jiaxuan Li, Yong Zhou (28):1−39, 2026 PDF BibTeX
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Generative Bayesian Inference with GANs
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Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling
Yudong Wang, Zhi-Sheng Ye, Cheng Yong Tang (30):1−63, 2026 PDF BibTeX
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Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals
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CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
Sophie Jaffard, Samuel Vaiter, Patricia Reynaud-Bouret (32):1−62, 2026 codePDF BibTeX
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Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
Steven Adams, Andrea Patanè, Morteza Lahijanian, Luca Laurenti (33):1−52, 2026 PDF BibTeX
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Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width
Yunwen Lei, Puyu Wang, Yiming Ying, Ding-Xuan Zhou (34):1−35, 2026 PDF BibTeX
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Adaptive Forward Stepwise: A Method for High Sparsity Regression
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Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection
Addison Kristanto Julistiono, Davoud Ataee Tarzanagh, Navid Azizan (36):1−61, 2026 codePDF BibTeX
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Hierarchical Causal Models
Eli N. Weinstein, David M. Blei (37):1−73, 2026 codePDF BibTeX
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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou (38):1−51, 2026 PDF BibTeX
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Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization
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A causal fused lasso for interpretable heterogeneous treatment effects estimation
Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla, Gabriel Ruiz (40):1−56, 2026 PDF BibTeX
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Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
Jiangrong Ouyang, Mingming Gong, Howard Bondell (41):1−28, 2026 codePDF BibTeX
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Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu (42):1−77, 2026 PDF BibTeX
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Two-way Node Popularity Model for Directed and Bipartite Networks
Bing-Yi Jing, Ting Li, Jiangzhou Wang, Ya Wang (43):1−73, 2026 codePDF BibTeX
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A Symplectic Analysis of Alternating Mirror Descent
Jonas E. Katona, Xiuyuan Wang, Andre Wibisono (44):1−61, 2026 codePDF BibTeX
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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, Andrew Davies (45):1−37, 2026 codePDF BibTeX
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Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models
Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister (46):1−57, 2026 codePDF BibTeX
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DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
TIanyu Cao, Xiaokai Chen, Gesualdo Scutari (47):1−57, 2026 PDF BibTeX
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Covariate-dependent Hierarchical Dirichlet Processes
Huizi Zhang, Sara Wade, Natalia Bochkina (48):1−99, 2026 PDF BibTeX
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Online Bernstein-von Mises theorem
Jeyong Lee, Junhyeok Choi, Minwoo Chae (49):1−124, 2026 PDF BibTeX
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Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan (50):1−34, 2026 PDF BibTeX