Research Interests

My research focuses on developing robust and efficient methodologies at the intersection of optimization, statistics, and machine learning. Specifically, I work on:

  • Data-Driven Distributionally Robust Optimization
  • Robust Machine Learning & Statistics in Adversarial Settings

Preprints

Oracle-Based Distributionally Robust Optimization under Optimal Transport Ambiguity Sets

Guixian Chen, Salar Fattahi, Soroosh Shafiee

Under Review / arXiv preprint, 2026

arXiv Code

Risk-Averse Wasserstein Distributionally Robust Online Learning

Guixian Chen, Salar Fattahi, Soroosh Shafiee

arXiv preprint, 2026

arXiv

RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions

Guixian Chen, Jianhao Ma, Salar Fattahi

Under Review / arXiv preprint, 2025

arXiv Code