JMLR · Scour

Uplift Model Evaluation with Ordinal Dominance Graphs

Causal Effect of Functional Treatment

Invariant Subspace Decomposition

Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals

Outlier Robust and Sparse Estimation of Linear Regression Coefficients

Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares

Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights

Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets

Statistical field theory for Markov decision processes under uncertainty

Bayesian Data Sketching for Varying Coefficient Regression Models

Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling

Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors

Learning conditional distributions on continuous spaces

A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs

Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities

A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds

On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control

On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms

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