Sébastien Bubeck
Orcid: 0000-0001-9122-4410
According to our database1,
Sébastien Bubeck
authored at least 109 papers
between 2007 and 2023.
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Bibliography
2023
IEEE Trans. Inf. Theory, March, 2023
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Algorithmic Learning Theory, 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models.
CoRR, 2022
CoRR, 2022
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022
2021
SIAM J. Comput., 2021
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021
A single gradient step finds adversarial examples on random two-layers neural networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021
Proceedings of the Conference on Learning Theory, 2021
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions.
Proceedings of the Conference on Learning Theory, 2021
2020
CoRR, 2020
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020
Network size and size of the weights in memorization with two-layers neural networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without.
Proceedings of the Conference on Learning Theory, 2020
Coordination without communication: optimal regret in two players multi-armed bandits.
Proceedings of the Conference on Learning Theory, 2020
2019
The Entropic Barrier: Exponential Families, Log-Concave Geometry, and Self-Concordance.
Math. Oper. Res., 2019
J. Mach. Learn. Res., 2019
J. Mach. Learn. Res., 2019
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives.
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Conference on Learning Theory, 2019
2018
Discret. Comput. Geom., 2018
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018
An homotopy method for l<sub>p</sub> regression provably beyond self-concordance and in input-sparsity time.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Conference On Learning Theory, 2018
Proceedings of the Algorithmic Learning Theory, 2018
2017
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Random Struct. Algorithms, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
2015
IEEE Trans. Netw. Sci. Eng., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
2014
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model.
CoRR, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality.
J. Mach. Learn. Res., 2013
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the COLT 2012, 2012
Proceedings of the COLT 2012, 2012
Found. Trends Mach. Learn., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Theor. Comput. Sci., 2011
Proceedings of the COLT 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011
2010
J. Mach. Learn. Res., 2010
2009
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions.
J. Mach. Learn. Res., 2009
Proceedings of the COLT 2009, 2009
Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007