Sebastien Bubeck

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Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonEmail yang diverifikasi di uw.edu
Ronen EldanWeizmann InstituteEmail yang diverifikasi di weizmann.ac.il
Yuanzhi LiAssistant Professor at CMUEmail yang diverifikasi di andrew.cmu.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondEmail yang diverifikasi di microsoft.com
Rémi MunosGoogle DeepMindEmail yang diverifikasi di inria.fr
Gilles StoltzCNRS / Université Paris-Saclay / HEC ParisEmail yang diverifikasi di hec.fr
Eric HorvitzMicrosoftEmail yang diverifikasi di microsoft.com
Hamid PalangiGoogle and University of WashingtonEmail yang diverifikasi di google.com
Marco Tulio RibeiroGoogle DeepMindEmail yang diverifikasi di cs.washington.edu
Harsha NoriMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Scott LundbergGoogle DeepMindEmail yang diverifikasi di google.com
Ece KamarMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Varun ChandrasekaranUniversity of Illinois Urbana-ChampaignEmail yang diverifikasi di illinois.edu
Gabor LugosiICREA and Universitat Pompeu FabraEmail yang diverifikasi di upf.edu
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoEmail yang diverifikasi di unimi.it
Mark SellkeAssistant Professor of Statistics, Harvard UniversityEmail yang diverifikasi di fas.harvard.edu
Suriya GunasekarMSR RedmondEmail yang diverifikasi di ttic.edu
Shital ShahMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Mojan JavaheripiSenior Researcher, Microsoft ResearchEmail yang diverifikasi di microsoft.com
Laurent MassoulieInria, MSR-Inria Joint CentreEmail yang diverifikasi di inria.fr

Ikuti

Sebastien Bubeck

OpenAI

Email yang diverifikasi di openai.com - Beranda

machine learning theoretical computer science convex optimization multi-armed bandits


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	3440	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	3235	2012
Convex optimization: Algorithms and complexity S Bubeck Foundations and Trends in Machine Learning 8, 231-357, 2014	2568	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	1123	2023
Is Q-learning provably efficient? C Jin, Z Allen-Zhu, S Bubeck, MI Jordan Advances in neural information processing systems 31, 2018	994	2018
Best arm identification in multi-armed bandits JY Audibert, S Bubeck, R Munos COLT 2010, 2010	974	2010
Pure exploration in multi-armed bandits problems S Bubeck, R Munos, G Stoltz Algorithmic Learning Theory, 23-37, 2009	633	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	603	2019
Minimax policies for adversarial and stochastic bandits JY Audibert, S Bubeck COLT 2009, 2009	517	2009
X-armed bandits S Bubeck, R Munos, G Stoltz, C Szepesvári Journal of Machine Learning Research 12, 1587-1627, 2011	514	2011
lil'UCB: An Optimal Exploration Algorithm for Multi-Armed Bandits K Jamieson, M Malloy, R Nowak, S Bubeck COLT 2014, 2013	490	2013
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	478	2024
Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023	468	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
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	335	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	334	2023
Pure exploration in finitely-armed and continuous-armed bandits S Bubeck, R Munos, G Stoltz Theoretical Computer Science 412, 1832-1852, 2010	325	2010
Regret bounds and minimax policies under partial monitoring JY Audibert, S Bubeck The Journal of Machine Learning Research 11, 2635-2686, 2010	278	2010
The best of both worlds: Stochastic and adversarial bandits S Bubeck, A Slivkins COLT 2012, 2012	276	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	275	2008

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