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Sebastien Bubeck
Sebastien Bubeck
VP GenAI Research, Microsoft AI
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
30862012
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
23832023
Convex optimization: Algorithms and complexity
S Bubeck
Foundations and Trends in Machine Learning 8, 231-357, 2014
23712014
Best arm identification in multi-armed bandits
JY Audibert, S Bubeck, R Munos
COLT 2010, 2010
9192010
Is Q-learning provably efficient?
C Jin, Z Allen-Zhu, S Bubeck, MI Jordan
Advances in neural information processing systems 31, 2018
8992018
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
7872023
Pure exploration in multi-armed bandits problems
S Bubeck, R Munos, G Stoltz
Algorithmic Learning Theory, 23-37, 2009
5932009
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
5512019
X-armed bandits
S Bubeck, R Munos, G Stoltz, C Szepesvári
Journal of Machine Learning Research 12, 1587-1627, 2011
4972011
Minimax policies for adversarial and stochastic bandits
JY Audibert, S Bubeck
COLT 2009, 2009
4902009
lil'UCB: An Optimal Exploration Algorithm for Multi-Armed Bandits
K Jamieson, M Malloy, R Nowak, S Bubeck
COLT 2014, 2013
4622013
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
3512017
Pure exploration in finitely-armed and continuous-armed bandits
S Bubeck, R Munos, G Stoltz
Theoretical Computer Science 412, 1832-1852, 2010
3062010
Bandits with heavy tail
S Bubeck, N Cesa-Bianchi, G Lugosi
IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013
3032013
Online Optimization in X-Armed Bandits
S Bubeck, G Stoltz, C Szepesvári, R Munos
Advances in Neural Information Processing Systems 21, 201-208, 2008
2692008
Regret bounds and minimax policies under partial monitoring
JY Audibert, S Bubeck
The Journal of Machine Learning Research 11, 2635-2686, 2010
2662010
The best of both worlds: Stochastic and adversarial bandits
S Bubeck, A Slivkins
COLT 2012, 2012
2542012
Regret in online combinatorial optimization
JY Audibert, S Bubeck, G Lugosi
Mathematics of Operations Research 39 (1), 31-45, 2014
2482014
Multiple identifications in multi-armed bandits
S Bubeck, T Wang, N Viswanathan
ICML 2012, 2012
2362012
Adversarial examples from computational constraints
S Bubeck, YT Lee, E Price, I Razenshteyn
International Conference on Machine Learning, 831-840, 2019
2342019
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