14 citations · 18 across the 10 of their papers we have counts for
4 papers · 1 filter
Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
Yifeng Yu, Lu Yu
Score-based diffusion models have become a powerful framework for generative modeling, with score estimation as a central statistical bottleneck. Existing guarantees for score esti…
Parallelized Midpoint Randomization for Langevin Monte Carlo
Lu Yu, Arnak Dalalyan
We study the problem of sampling from a target probability density function in frameworks where parallel evaluations of the log-density gradient are feasible. Focusing on smooth an…
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Lu Yu, Avetik Karagulyan, Arnak Dalalyan
We revisit the problem of sampling from a target distribution that has a smooth strongly log-concave density everywhere in . In this context, if no additional density…
Oracle Inequalities for High-dimensional Prediction
Johannes Lederer, Lu Yu, Irina Gaynanova
The abundance of high-dimensional data in the modern sciences has generated tremendous interest in penalized estimators such as the lasso, scaled lasso, square-root lasso, elastic…