JMLR · Scour

High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces

Contextual Bandits with Stage-wise Constraints

Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods

Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data

Fast Algorithm for Constrained Linear Inverse Problems

Data-Driven Performance Guarantees for Classical and Learned Optimizers

Best Linear Unbiased Estimate from Privatized Contingency Tables

Optimizing Return Distributions with Distributional Dynamic Programming

Bagged Regularized k-Distances for Anomaly Detection

Hierarchical Decision Making Based on Structural Information Principles

Assumption-lean and data-adaptive post-prediction inference

"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

Four Axiomatic Characterizations of the Integrated Gradients Attribution Method

Early Alignment in Two-Layer Networks Training is a Two-Edged Sword

Imprecise Multi-Armed Bandits: Representing Irreducible Uncertainty as a Zero-Sum Game

Generative Adversarial Networks: Dynamics

Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

Model-free Change-Point Detection Using AUC of a Classifier

EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback

A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization

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