Vianney Perchet

Contextual Multi-Armed Bandits with Minimum Aggregated Revenue Constraints

Learning in Prophet Inequalities with Noisy Observations

FeatHawkes: Scalable Feature-Based Attribution for Temporal Event Data

Feature-Based Online Bilateral Trade

The Price of Opportunity Fairness in Matroid Allocation Problems

Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search

Stable Matching with Ties: Approximation Ratios and Learning

Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization

The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback