12 citations · 12 across the 3 of their papers we have counts for
3 papers
Learning Distributionally Robust First-Order Methods for Convex Optimization
Vinit Ranjan, Jisun Park, Bartolomeo Stellato
We propose a distributionally robust approach to learning hyperparameters (e.g., step sizes and momentum coefficients) for first-order methods in convex optimization. Given a datas…
Fast Online Distributionally Robust Optimization via Data Compression
Irina Wang, Bartolomeo Stellato
We propose an online data compression approach for efficiently solving Wasserstein distributionally robust optimization (DRO) problems with streaming data. Our method constructs ad…
From predictions to prescriptions: A data-driven response to COVID-19
Dimitris Bertsimas, Léonard Boussioux, Ryan Cory Wright +18
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a d…