Sökning: "Alexandre Proutiere"
Visar resultat 6 - 10 av 20 avhandlingar innehållade orden Alexandre Proutiere.
6. Efficient Online Learning under Bandit Feedback
Sammanfattning : In this thesis we address the multi-armed bandit (MAB) problem with stochastic rewards and correlated arms. Particularly, we investigate the case when the expected rewards are a Lipschitz function of the arm and extend these results to bandits with arbitrary structure that is known to the decision maker. LÄS MER
7. Structured Stochastic Bandits
Sammanfattning : In this thesis we address the multi-armed bandit (MAB) problem with stochastic rewards and correlated arms. Particularly, we investigate the case when the expected rewards are a Lipschitz function of the arm, and the learning to rank problem, as viewed from a MAB perspective. LÄS MER
8. Fast, Robust and Scalable Clustering Algorithms with Applications in Computer Vision
Sammanfattning : In this thesis, we address a number of challenges in cluster analysis. We begin by investigating one of the oldest and most challenging problems: determining the number of clusters, k. LÄS MER
9. Analysis of Attacks on Controlled Stochastic Systems
Sammanfattning : In this thesis, we investigate attack vectors against Markov decision processes anddynamical systems. This work is motivated by the recent interest in the researchcommunity towards making Machine Learning models safer to malicious attacks. LÄS MER
10. Efficient Exploration and Robustness in Controlled Dynamical Systems
Sammanfattning : In this thesis, we explore two distinct topics. The first part of the thesis delves into efficient exploration in multi-task bandit models and model-free exploration in large Markov decision processes (MDPs). LÄS MER