Sebastien Bubeck

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Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonVerified email at uw.edu
Ronen EldanWeizmann InstituteVerified email at weizmann.ac.il
Yi ZhangSenior Researcher at Microsoft Research RedmondVerified email at microsoft.com
Rémi MunosFAIR, MetaVerified email at inria.fr
Eric HorvitzMicrosoftVerified email at microsoft.com
Ece KamarMicrosoft ResearchVerified email at microsoft.com
Varun ChandrasekaranUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Johannes GehrkeMicrosoftVerified email at microsoft.com
Gilles StoltzCNRS / Université Paris-Saclay / HEC ParisVerified email at hec.fr
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu
Mark SellkeAssistant Professor of Statistics, Harvard UniversityVerified email at fas.harvard.edu
Hamid PalangiGoogle and University of WashingtonVerified email at google.com
Marco Tulio RibeiroGoogle DeepMindVerified email at cs.washington.edu
Harsha NoriMicrosoft ResearchVerified email at microsoft.com
Scott LundbergGoogle DeepMindVerified email at google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Yuanzhi LiAssistant Professor at CMUVerified email at andrew.cmu.edu
Suriya GunasekarMSR RedmondVerified email at ttic.edu
Mojan JavaheripiSenior Researcher, Microsoft ResearchVerified email at microsoft.com
Shital ShahMicrosoft ResearchVerified email at microsoft.com

Sebastien Bubeck

OpenAI

Verified email at openai.com - Homepage

machine learning theoretical computer science convex optimization multi-armed bandits


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Sparks of artificial general intelligence: Early experiments with gpt-4 S Bubeck, V Chadrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... ArXiv, 2023	3928	2023
Regret analysis of stochastic and nonstochastic multi-armed bandit problems S Bubeck, N Cesa-Bianchi Foundations and Trends in Machine Learning 5, 1-122, 2012	3311	2012
Convex optimization: Algorithms and complexity S Bubeck Foundations and Trends in Machine Learning 8, 231-357, 2014	2677	2014
Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine P Lee, S Bubeck, J Petro New England Journal of Medicine 388 (13), 1233-1239, 2023	1257	2023
Is Q-learning provably efficient? C Jin, Z Allen-Zhu, S Bubeck, MI Jordan Advances in neural information processing systems 31, 2018	1032	2018
Best arm identification in multi-armed bandits JY Audibert, S Bubeck, R Munos COLT 2010, 2010	1011	2010
Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024	982	2024
Pure exploration in multi-armed bandits problems S Bubeck, R Munos, G Stoltz Algorithmic Learning Theory, 23-37, 2009	646	2009
Provably robust deep learning via adversarially trained smoothed classifiers H Salman, J Li, I Razenshteyn, P Zhang, H Zhang, S Bubeck, G Yang Advances in neural information processing systems 32, 2019	624	2019
Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023	592	2023
X-armed bandits S Bubeck, R Munos, G Stoltz, C Szepesvári Journal of Machine Learning Research 12, 1587-1627, 2011	533	2011
Minimax policies for adversarial and stochastic bandits JY Audibert, S Bubeck COLT 2009, 2009	531	2009
lil'UCB: An Optimal Exploration Algorithm for Multi-Armed Bandits K Jamieson, M Malloy, R Nowak, S Bubeck COLT 2014, 2013	503	2013
Textbooks are all you need ii: phi-1.5 technical report Y Li, S Bubeck, R Eldan, A Del Giorno, S Gunasekar, YT Lee arXiv preprint arXiv:2309.05463, 2023	438	2023
Optimal algorithms for smooth and strongly convex distributed optimization in networks K Scaman, F Bach, S Bubeck, YT Lee, L Massoulié international conference on machine learning, 3027-3036, 2017	380	2017
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	343	2013
Pure exploration in finitely-armed and continuous-armed bandits S Bubeck, R Munos, G Stoltz Theoretical Computer Science 412, 1832-1852, 2010	336	2010
Online Optimization in X-Armed Bandits S Bubeck, G Stoltz, C Szepesvári, R Munos Advances in Neural Information Processing Systems 21, 201-208, 2008	290	2008
Regret bounds and minimax policies under partial monitoring JY Audibert, S Bubeck The Journal of Machine Learning Research 11, 2635-2686, 2010	287	2010
The best of both worlds: Stochastic and adversarial bandits S Bubeck, A Slivkins COLT 2012, 2012	285	2012

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