Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis. - Emilie Kaufmann; Nathaniel Korda; Rémi Munos (ALT, 2012)

Thompson Sampling: An Optimal Finite Time Analysis - Emilie Kaufmann; Nathaniel Korda; Rémi Munos (CoRR, 2012)

Optimistic Bayesian Sampling in Contextual-Bandit Problems. - Benedict C. May; Nathan Korda; Anthony Lee; David S. Leslie (J. Mach. Learn. Res., 2012)

Thompson Sampling for 1-Dimensional Exponential Family Bandits. - Nathaniel Korda; Emilie Kaufmann; Rémi Munos (NIPS, 2013)

Finite-Time Analysis of Kernelised Contextual Bandits. - Michal Valko; Nathaniel Korda; Rémi Munos; Ilias N. Flaounas; Nello Cristianini (UAI, 2013)

Online gradient descent for least squares regression: Non-asymptotic bounds and application to bandits. - Nathaniel Korda; Prashanth L. A.; Rémi Munos (CoRR, 2013)

Analysis of stochastic approximation for efficient least squares regression and LSTD. - Prashanth L. A.; Nathaniel Korda; Rémi Munos (CoRR, 2013)

Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control. - Prashanth L. A.; Nathaniel Korda; Rémi Munos (ECML/PKDD (2), 2014)

Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits. - Nathaniel Korda; Prashanth L. A.; Rémi Munos (AAAI, 2015)

On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence. - Nathaniel Korda; Prashanth L. A. (ICML, 2015)

Distributed Clustering of Linear Bandits in Peer to Peer Networks. - Nathan Korda; Balázs Szörényi; Shuai Li (ICML, 2016)

Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling. - Prashanth L. A.; Nathaniel Korda; Rémi Munos (Mach. Learn., 2021)

The Automated Bias Triangle Feature Extraction Framework. - Madeleine Kotzagiannidis; Jonas Schuff; Nathan Korda (CoRR, 2023)

Fully autonomous tuning of a spin qubit. - Jonas Schuff; Miguel J. Carballido; Madeleine Kotzagiannidis; Juan Carlos Calvo; Marco Caselli; Jacob Rawling; David L. Craig; Barnaby van Straaten; Brandon Severin; Federico Fedele; Simon Svab; Pierre Chevalier Kwon; et al. (CoRR, 2024)