47 citations · 272 across the 43 of their papers we have counts for
4 papers · 1 filter
A Generalized McDiarmid Inequality: Sample Reuse and Non-Uniform Unbounded Differences
Jeremiah Birrell
We develop a novel generalization of McDiarmid's concentration inequality and use it to obtain a uniform law of large numbers result and error bounds on stochastic optimization pro…
Sensitivity of SDE Solutions to Perturbations of the Diffusion and Drift
Jeremiah Birrell
We develop a method for bounding the sensitivity of solutions to stochastic differential equations (SDEs) to changes in the drift, , and diffusion, , by using a combination o…
Information Theoretic Adversarial Training of Large Language Models
Yiwei Zhang, Jeremiah Birrell, Reza Ebrahimi +3
Large language models (LLMs) remain vulnerable to adversarial prompting despite advances in alignment and safety, often exhibiting harmful behaviors under novel attack strategies.…
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
Jeremiah Birrell, Xiaoxi Shen
We study finite-sample statistical performance guarantees for distributionally robust optimization (DRO) with optimal transport (OT) and OT-regularized divergence model neighborhoo…