What we work on
Bandits and Online Learning
Sequential decision-making under partial information: multi-armed bandits, contextual bandits, and adversarial online learning with provable regret guarantees.
5 paperslatest May 2026Autobidding, Ranking and Recommender Systems
Auction-time bidding, ad pacing, and online ranking under budget and ROI constraints. Bringing online learning to the systems that decide what users see.
6 paperslatest May 2026DBMS Optimization
Online query optimization, adaptive buffer management and more: pushing online learning into the heart of modern database systems.
5 paperslatest Jun 2026Optimization
Convex and non-convex optimization theory, lower bounds, and parameter-free methods. The structural foundations under everything else we build.
7 paperslatest Feb 2026
Out of the lab
- Paper2026/06/23
- Journal2026/06/09
- Paper2026/05/25
- Paper2026/05/25
Let's work together
We do science for both academia and industry, and we read every application. Whether you're a prospective student, a collaborator, or a company with a hard problem, we'd love to hear from you.