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Sebastien Bubeck
Sebastien Bubeck
OpenAI
Подтвержден адрес электронной почты в домене openai.com - Главная страница
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Процитировано
Процитировано
Год
Sparks of artificial general intelligence: Early experiments with gpt-4
S Bubeck, V Chadrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ...
ArXiv, 2023
39682023
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
33132012
Convex optimization: Algorithms and complexity
S Bubeck
Foundations and Trends in Machine Learning 8, 231-357, 2014
26822014
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
12722023
Is Q-learning provably efficient?
C Jin, Z Allen-Zhu, S Bubeck, MI Jordan
Advances in neural information processing systems 31, 2018
10352018
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
10152024
Best arm identification in multi-armed bandits
JY Audibert, S Bubeck, R Munos
COLT 2010, 2010
10112010
Pure exploration in multi-armed bandits problems
S Bubeck, R Munos, G Stoltz
Algorithmic Learning Theory, 23-37, 2009
6452009
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
6262019
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
5952023
X-armed bandits
S Bubeck, R Munos, G Stoltz, C Szepesvári
Journal of Machine Learning Research 12, 1587-1627, 2011
5332011
Minimax policies for adversarial and stochastic bandits
JY Audibert, S Bubeck
COLT 2009, 2009
5312009
lil'UCB: An Optimal Exploration Algorithm for Multi-Armed Bandits
K Jamieson, M Malloy, R Nowak, S Bubeck
COLT 2014, 2013
5032013
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
4412023
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
3822017
Bandits with heavy tail
S Bubeck, N Cesa-Bianchi, G Lugosi
IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013
3442013
Pure exploration in finitely-armed and continuous-armed bandits
S Bubeck, R Munos, G Stoltz
Theoretical Computer Science 412, 1832-1852, 2010
3392010
Online Optimization in X-Armed Bandits
S Bubeck, G Stoltz, C Szepesvári, R Munos
Advances in Neural Information Processing Systems 21, 201-208, 2008
2912008
Regret bounds and minimax policies under partial monitoring
JY Audibert, S Bubeck
The Journal of Machine Learning Research 11, 2635-2686, 2010
2872010
The best of both worlds: Stochastic and adversarial bandits
S Bubeck, A Slivkins
COLT 2012, 2012
2852012
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Статьи 1–20