139 citations · 615 across the 107 of their papers we have counts for
8 papers · 1 filter
Lifelong Learning in Multi-Armed Bandits
Matthieu Jedor, Jonathan Louëdec, Vianney Perchet
Continuously learning and leveraging the knowledge accumulated from prior tasks in order to improve future performance is a long standing machine learning problem. In this paper, w…
Robustness of Community Detection to Random Geometric Perturbations
Sandrine Peche, Vianney Perchet
We consider the stochastic block model where connection between vertices is perturbed by some latent (and unobserved) random geometric graph. The objective is to prove that spectra…
Learning in repeated auctions
Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui +1
Online auctions are one of the most fundamental facets of the modern economy and power an industry generating hundreds of billions of dollars a year in revenue. Auction theory has…
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke +1
Reinforcement learning algorithms are widely used in domains where it is desirable to provide a personalized service. In these domains it is common that user data contains sensitiv…
Social Learning in Non-Stationary Environments
Etienne Boursier, Vianney Perchet, Marco Scarsini
Potential buyers of a product or service, before making their decisions, tend to read reviews written by previous consumers. We consider Bayesian consumers with heterogeneous prefe…
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
Pierre Perrault, Etienne Boursier, Vianney Perchet +1
We investigate stochastic combinatorial multi-armed bandit with semi-bandit feedback (CMAB). In CMAB, the question of the existence of an efficient policy with an optimal asymptoti…