Asymptotic performance analysis of PCA algorithms based on the weighted subspace criterion. - Jean Pierre Delmas; Victor Gabillon (ICASSP, 2009)

Affichage de publicités sur des portails web. - Victor Gabillon; Jérémie Mary; Philippe Preux (EGC, 2010)

Classification-based Policy Iteration with a Critic. - Victor Gabillon; Alessandro Lazaric; Mohammad Ghavamzadeh; Bruno Scherrer (ICML, 2011)

Multi-Bandit Best Arm Identification. - Victor Gabillon; Mohammad Ghavamzadeh; Alessandro Lazaric; Sébastien Bubeck (NIPS, 2011)

Approximate Modified Policy Iteration. - Bruno Scherrer; Victor Gabillon; Mohammad Ghavamzadeh; Matthieu Geist (ICML, 2012)

Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence. - Victor Gabillon; Mohammad Ghavamzadeh; Alessandro Lazaric (NIPS, 2012)

Approximate Dynamic Programming Finally Performs Well in the Game of Tetris. - Victor Gabillon; Mohammad Ghavamzadeh; Bruno Scherrer (NIPS, 2013)

Adaptive Submodular Maximization in Bandit Setting. - Victor Gabillon; Branislav Kveton; Zheng Wen 002; Brian Eriksson; S. Muthukrishnan 001 (NIPS, 2013)

Large-Scale Optimistic Adaptive Submodularity. - Victor Gabillon; Branislav Kveton; Zheng Wen 002; Brian Eriksson; S. Muthukrishnan 001 (AAAI, 2014)

Approximate modified policy iteration and its application to the game of Tetris. - Bruno Scherrer; Mohammad Ghavamzadeh; Victor Gabillon; Boris Lesner; Matthieu Geist (J. Mach. Learn. Res., 2015)

Improved Learning Complexity in Combinatorial Pure Exploration Bandits. - Victor Gabillon; Alessandro Lazaric; Mohammad Ghavamzadeh; Ronald Ortner; Peter L. Bartlett (AISTATS, 2016)

Hit-and-Run for Sampling and Planning in Non-Convex Spaces. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Victor Gabillon; Alan Malek (AISTATS, 2017)

Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Victor Gabillon (NIPS, 2017)

Best of both worlds: Stochastic & adversarial best-arm identification. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Victor Gabillon; Alan Malek; Michal Valko (COLT, 2018)

A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption. - Peter L. Bartlett; Victor Gabillon; Michal Valko (ALT, 2019)

Scale-free adaptive planning for deterministic dynamics & discounted rewards. - Peter L. Bartlett; Victor Gabillon; Jennifer Healey; Michal Valko (ICML, 2019)

MANAS: Multi-Agent Neural Architecture Search. - Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Victor Gabillon; Antoine Yang; Hang Xu; Zewei Chen; Jun Wang 012 (CoRR, 2019)

Derivative-Free & Order-Robust Optimisation. - Haitham Ammar; Victor Gabillon; Rasul Tutunov; Michal Valko (AISTATS, 2020)

Adaptive multi-fidelity optimization with fast learning rates. - Côme Fiegel; Victor Gabillon; Michal Valko (AISTATS, 2020)

Design of Scalable Population of Reinforcement Learning Agents for Autonomous 5G Radio Link Control. - John Cosmas; Kareem Ali; Ali Mahbas; Prince Kwaku Boakye; John Miguel; Victor Gabillon; Alexandre Kazmierowski; Lewis Sear (WCNC, 2024)

Manas: multi-agent neural architecture search. - Vasco Lopes; Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Antoine Yang; Victor Gabillon; Hang Xu; Zewei Chen; Jun Wang 012 (Mach. Learn., 2024)