Vianney PerchetView profile
Associate Professor
Vianney Perchet is an Associate Professor and Permanent Member at CREST, ENSAE Paris, specializing in the intersection of machine learning, game theory, and economics. His research spans theoretical foundations to practical applications in recommender systems and user behavior modeling, with a concurrent part-time role as principal researcher at Criteo AI Lab focusing on exploration efficiency. His research interests bridge mathematics, computer science, and economics, emphasizing reinforcement learning, social learning, online matching, bandit problems, and auction theory. Key contributions address optimal algorithm convergence rates, non-clairvoyant scheduling, fair resource allocation, and asynchronous multiplayer bandits, demonstrating strong interdisciplinary integration across theoretical and applied domains. Recent publications at NeurIPS, ICML, and AISTATS reveal a cohesive trend toward learning-augmented algorithms for scheduling and allocation problems, with growing emphasis on fairness constraints, communication limitations, and partial prediction scenarios. This work consistently connects theoretical guarantees with real-world economic and technical applications. No scientific awards were explicitly documented in the provided materials. Perchet advises 5 active PhD students on reinforcement learning, social learning, and online matching/bandits, while 4 former students have completed doctorates on bandits and auction theory. His industry collaboration with Criteo AI Lab provides practical validation for theoretical frameworks in recommender systems. As a core CREST research center member, he actively participates in academic initiatives including the Mediterranean Game Theory Symposium, Games and AI Summer School, and Learning in Games workshops, fostering cross-institutional collaboration in algorithmic economics.
