139 citations · 615 across the 107 of their papers we have counts for
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Stochastic Bandit Models for Delayed Conversions
Claire Vernade, Olivier Cappé, Vianney Perchet
Online advertising and product recommendation are important domains of applications for multi-armed bandit methods. In these fields, the reward that is immediately available is mos…
Sparse Stochastic Bandits
Joon Kwon, Vianney Perchet, Claire Vernade
In the classical multi-armed bandit problem, d arms are available to the decision maker who pulls them sequentially in order to maximize his cumulative reward. Guarantees can be ob…
A comparative study of counterfactual estimators
Thomas Nedelec, Nicolas Le Roux, Vianney Perchet
We provide a comparative study of several widely used off-policy estimators (Empirical Average, Basic Importance Sampling and Normalized Importance Sampling), detailing the differe…
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Quentin Berthet, Vianney Perchet
We consider the problem of bandit optimization, inspired by stochastic optimization and online learning problems with bandit feedback. In this problem, the objective is to minimize…