Sebastien Bubeck

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	Vse	Od leta 2019
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Soavtorji

Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonPreverjeni e-poštni naslov na uw.edu
Ronen EldanWeizmann InstitutePreverjeni e-poštni naslov na weizmann.ac.il
Yuanzhi LiAssistant Professor at CMUPreverjeni e-poštni naslov na andrew.cmu.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondPreverjeni e-poštni naslov na microsoft.com
Rémi MunosFAIR, MetaPreverjeni e-poštni naslov na inria.fr
Eric HorvitzMicrosoftPreverjeni e-poštni naslov na microsoft.com
Hamid PalangiGoogle and University of WashingtonPreverjeni e-poštni naslov na google.com
Marco Tulio RibeiroGoogle DeepMindPreverjeni e-poštni naslov na cs.washington.edu
Harsha NoriMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Scott LundbergGoogle DeepMindPreverjeni e-poštni naslov na google.com
Ece KamarMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Varun ChandrasekaranUniversity of Illinois Urbana-ChampaignPreverjeni e-poštni naslov na illinois.edu
Gilles StoltzCNRS / Université Paris-Saclay / HEC ParisPreverjeni e-poštni naslov na hec.fr
Gabor LugosiICREA and Universitat Pompeu FabraPreverjeni e-poštni naslov na upf.edu
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoPreverjeni e-poštni naslov na unimi.it
Mark SellkeAssistant Professor of Statistics, Harvard UniversityPreverjeni e-poštni naslov na fas.harvard.edu
Suriya GunasekarMSR RedmondPreverjeni e-poštni naslov na ttic.edu
Shital ShahMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Mojan JavaheripiSenior Researcher, Microsoft ResearchPreverjeni e-poštni naslov na microsoft.com
Laurent MassoulieInria, MSR-Inria Joint CentrePreverjeni e-poštni naslov na inria.fr

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Sebastien Bubeck

OpenAI

Preverjeni e-poštni naslov na openai.com - Domača stran

machine learning theoretical computer science convex optimization multi-armed bandits


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Sparks of artificial general intelligence: Early experiments with gpt-4 S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... arXiv preprint arXiv:2303.12712, 2023	3512	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	3248	2012
Convex optimization: Algorithms and complexity S Bubeck Foundations and Trends in Machine Learning 8, 231-357, 2014	2584	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	1143	2023
Is Q-learning provably efficient? C Jin, Z Allen-Zhu, S Bubeck, MI Jordan Advances in neural information processing systems 31, 2018	999	2018
Best arm identification in multi-armed bandits JY Audibert, S Bubeck, R Munos COLT 2010, 2010	979	2010
Pure exploration in multi-armed bandits problems S Bubeck, R Munos, G Stoltz Algorithmic Learning Theory, 23-37, 2009	636	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	605	2019
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	549	2024
Minimax policies for adversarial and stochastic bandits JY Audibert, S Bubeck COLT 2009, 2009	519	2009
X-armed bandits S Bubeck, R Munos, G Stoltz, C Szepesvári Journal of Machine Learning Research 12, 1587-1627, 2011	516	2011
lil'UCB: An Optimal Exploration Algorithm for Multi-Armed Bandits K Jamieson, M Malloy, R Nowak, S Bubeck COLT 2014, 2013	494	2013
Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023	486	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	369	2017
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	347	2023
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	337	2013
Pure exploration in finitely-armed and continuous-armed bandits S Bubeck, R Munos, G Stoltz Theoretical Computer Science 412, 1832-1852, 2010	328	2010
Regret bounds and minimax policies under partial monitoring JY Audibert, S Bubeck The Journal of Machine Learning Research 11, 2635-2686, 2010	279	2010
The best of both worlds: Stochastic and adversarial bandits S Bubeck, A Slivkins COLT 2012, 2012	277	2012
Online Optimization in X-Armed Bandits S Bubeck, G Stoltz, C Szepesvári, R Munos Advances in Neural Information Processing Systems 21, 201-208, 2008	276	2008

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