JMLR · Scour

Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas

Covariate-dependent Hierarchical Dirichlet Processes

Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood

A Symplectic Analysis of Alternating Mirror Descent

Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection

Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling

Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models

Online Bernstein-von Mises theorem

Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization

Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization

Robust Point Matching with Distance Profiles

Are Ensembles Getting Better All the Time?

Mixtures of Gaussian Process Experts with SMC^2

An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition

Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty

Operator Learning for Hyperbolic PDEs

Decentralized Sparse Linear Regression via Gradient-Tracking

Optimal subsampling for high-dimensional partially linear models via machine learning methods

Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

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