RO
Group Lead · Professor
Renat Ostrovsky
Online convex optimization, lower bounds, parameter-free methods.
Building 4 / 312
About
Renat works at the intersection of online convex optimization and adversarial learning. His group’s recent focus is on parameter-free methods — algorithms that need no hand-tuned step size and still match the regret of the best tuning in hindsight.
Office hours: Tuesdays 14:00–16:00, Building 4 / 312.
Publications
2026
- Oral
- Preprint
- Journal