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- Victor Gabillon
Dr Victor Gabillon
Research Fellow
Queensland University of Technology
Ph.D in Informatics in Lille France
Research Interests:
Machine Learning
Publications
Invited talks, refereed proceedings and other conference outputs
Abbasi-Yadkori, Y., Bartlett P.L., Gabillon V., Malek A., & Valko M.
(2018). Best of both worlds: Stochastic & adversarial best-arm identification.
COLT, Conference on Learning Theory. 75, 918-949.
Abbasi-Yadkori, Y., Bartlett P.L., Gabillon V., & Malek A.
(2017). Hit-and-Run for Sampling and Planning in Non-Convex Spaces..
20th International Conference on Artifi- cial Intelligence and Statistics (AISTATS) 2017.
Abbasi-Yadkori, Y., Bartlett P.L., & Gabillon V.
(2017). Near Minimax Optimal Players for the Finite-Time3-Expert Prediction Problem.
31st Conference on Neural Information Processing Systems.
Journal Articles
Abbasi-Yadkori, Y., Bartlett P.L., & Gabillon V.
(2016). Hit-and-run for sampling and planning in non-convex spaces.
arxiv.org.
Gabillon, V., Lazaric A., Ghavamzadeh M., Ortner R., & Bartlett P.L.
(2016). Improved learning complexity in combinatorial pure exploration bandits.
Proceedings of Machine Learning Research . 51, 1004-1012.