56 citations · 200 across the 32 of their papers we have counts for
4 papers · 1 filter
Max K-armed bandit: On the ExtremeHunter algorithm and beyond
Mastane Achab, Stephan Clémençon, Aurélien Garivier +2
This paper is devoted to the study of the max K-armed bandit problem, which consists in sequentially allocating resources in order to detect extreme values. Our contribution is two…
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…
Bernoulli Rank- Bandits for Click Feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári +2
The probability that a user will click a search result depends both on its relevance and its position on the results page. The position based model explains this behavior by ascrib…