JMLR · Scour

skglm: Improving scikit-learn for Regularized Generalized Linear Models

Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

Universal Online Convex Optimization Meets Second-order Bounds

Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation

Score-Based Diffusion Models in Function Space

Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms

WEFE: A Python Library for Measuring and Mitigating Bias in Word Embeddings

Frontiers to the learning of nonparametric hidden Markov models

On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes

Simplex Constrained Sparse Optimization via Tail Screening

Density Estimation Using the Perceptron

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Autoencoders in Function Space

Extending Temperature Scaling with Homogenizing Maps

EMaP: Explainable AI with Manifold-based Perturbations

Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

Distribution Estimation under the Infinity Norm

Frequentist Guarantees of Distributed (Non)-Bayesian Inference

Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection

Boosting Causal Additive Models

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