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Sébastien Bubeck

59 papers hereh-index 4712.5k citations94 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author39
  • middle author13
  • last author5

Across the 58 of 59 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.DS10
  • math.OC10
  • stat.ML8
  • math.PR6
  • math.ST3
same name
  • Sébastien Bubeck — 30 papers, h 20
  • Sébastien Bubeck — 5 papers, h 5
  • Sébastien Bubeck — 3 papers
  • Sébastien Bubeck — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing 2013Show all

4 papers · 1 filter

stat.ML2013★ 194 cited

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits

Kevin Jamieson, Matthew Malloy, Robert Nowak +1

The paper proposes a novel upper confidence bound (UCB) procedure for identifying the arm with the largest mean in a multi-armed bandit game in the fixed confidence setting using a…

math.CO2013★ 2 cited

On the local profiles of trees

Sébastien Bubeck, Nati Linial

We study the local profiles of trees. We show that, in contrast with the situation for general graphs, the limit set of k-profiles of trees is convex. We initiate a study of the de…

stat.ML2013★ 20 cited

On Finding the Largest Mean Among Many

Kevin Jamieson, Matthew Malloy, Robert Nowak +1

Sampling from distributions to find the one with the largest mean arises in a broad range of applications, and it can be mathematically modeled as a multi-armed bandit problem in w…

stat.ML2013

Prior-free and prior-dependent regret bounds for Thompson Sampling

Sébastien Bubeck, Che-Yu Liu

We consider the stochastic multi-armed bandit problem with a prior distribution on the reward distributions. We are interested in studying prior-free and prior-dependent regret bou…

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