Policy Averaging for Stochastic Decision Problems: Theory and an Application to the Newsvendor Problem

Distributed propensity model averaging for large-scale data with nonignorable nonresponse

Double Descent and Emergence in Multi-model Prediction

Semi-supervised learning using copula-based regression and model averaging

Misspecified Maximum Likelihood Estimation for Non-uniform Group Orbit Recovery

Stable Gaussian Mixture Black-Box Variational Inference

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization

Transfer learning in nonparametric online learning problems

Locally Private Estimation with Public Features

Second-Order Sparse Sufficient Dimension Reduction with Applications to Quadratic Discriminant Analysis

Metric conformal prediction based on the expected local radius

Combining pre-trained large models via localized model averagin