JMLR · Scour

Error estimation and adaptive tuning for unregularized robust M-estimator

Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick

Regularizing Hard Examples Improves Adversarial Robustness

Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

Riemannian Bilevel Optimization

Random ReLU Neural Networks as Non-Gaussian Processes

Supervised Learning with Evolving Tasks and Performance Guarantees

Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data

Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds

Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming

Optimal Experiment Design for Causal Effect Identification

Accelerating optimization over the space of probability measures

Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

gsplat: An Open-Source Library for Gaussian Splatting

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