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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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cs.DS2022★ 2 cited

The Randomized -Server Conjecture is False!

Sébastien Bubeck, Christian Coester, Yuval Rabani

We prove a few new lower bounds on the randomized competitive ratio for the -server problem and other related problems, resolving some long-standing conjectures. In particular,…

cs.DS2022

Shortest Paths without a Map, but with an Entropic Regularizer

Sébastien Bubeck, Christian Coester, Yuval Rabani

In a 1989 paper titled "shortest paths without a map", Papadimitriou and Yannakakis introduced an online model of searching in a weighted layered graph for a target node, while att…

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…

cs.DS2019

Parametrized Metrical Task Systems

Sébastien Bubeck, Yuval Rabani

We consider parametrized versions of metrical task systems and metrical service systems, two fundamental models of online computing, where the constrained parameter is the number o…

cs.DS2018

Competitively Chasing Convex Bodies

Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li +1

Let be a family of sets in some metric space. In the -chasing problem, an online algorithm observes a request sequence of sets in and respo…

cs.DS2018

Chasing Nested Convex Bodies Nearly Optimally

Sébastien Bubeck, Bo'az Klartag, Yin Tat Lee +2

The convex body chasing problem, introduced by Friedman and Linial, is a competitive analysis problem on any normed vector space. In convex body chasing, for each timestep $t\in\ma…