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20092023
most citedProvably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

261 citations · 1.4k across the 45 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

quant-ph2020★ 7 cited

Entanglement is Necessary for Optimal Quantum Property Testing

Sebastien Bubeck, Sitan Chen, Jerry Li

There has been a surge of progress in recent years in developing algorithms for testing and learning quantum states that achieve optimal copy complexity. Unfortunately, they requir…

cs.DS2020

Online Multiserver Convex Chasing and Optimization

Sébastien Bubeck, Yuval Rabani, Mark Sellke

We introduce the problem of -chasing of convex functions, a simultaneous generalization of both the famous k-server problem in , and of the problem of chasing convex bodies…

math.OC2020★ 16 cited

Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization

Hadrien Hendrikx, Lin Xiao, Sebastien Bubeck +2

We consider the setting of distributed empirical risk minimization where multiple machines compute the gradients in parallel and a centralized server updates the model parameters.…

cs.LG2020★ 2 cited

Online Learning for Active Cache Synchronization

Andrey Kolobov, Sébastien Bubeck, Julian Zimmert

Existing multi-armed bandit (MAB) models make two implicit assumptions: an arm generates a payoff only when it is played, and the agent observes every payoff that is generated. Thi…

cs.GT2020★ 1 cited

Coordination without communication: optimal regret in two players multi-armed bandits

Sébastien Bubeck, Thomas Budzinski

We consider two agents playing simultaneously the same stochastic three-armed bandit problem. The two agents are cooperating but they cannot communicate. We propose a strategy with…