Research

Theory and methods in high-dimensional statistics, robust and stochastic optimization, reinforcement learning, language and diffusion models, sampling, and differential privacy.

2026
Provably Reliable Classifier Guidance through Cross-entropy Error Control
Sharan Sahu, Arisina Banerjee, and Yuchen Wu
arXiv preprint
arXiv
On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
Sharan Sahu, Cameron J. Hogan, and Martin T. Wells
arXiv preprint
arXiv
2025
Online Distributionally Robust LLM Alignment via Regression to Relative Reward
Sharan Sahu and Martin T. Wells
arXiv preprint
arXiv
Towards Optimal Differentially Private Regret Bounds in Linear Markov Decision Processes
Sharan Sahu
arXiv preprint
arXiv