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Aurélien Garivier

24 papers hereh-index 286.2k citations98 works total

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

author position
  • first author3
  • middle author12
  • last author9

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • stat.ML8
  • cs.LG7
  • math.ST4
  • cs.AI1
  • cs.DS1
  • quant-ph1
same name
  • Aurélien Garivier — 7 papers, h 3
  • Aurélien Garivier — 2 papers

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
20082023
most citedOn Upper-Confidence Bound Policies for Non-Stationary Bandit Problems

183 citations · 219 across the 12 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

stat.OT2018

Can everyday AI be ethical. Fairness of Machine Learning Algorithms

Philippe Besse, Celine Castets-Renard, Aurelien Garivier +1

Combining big data and machine learning algorithms, the power of automatic decision tools induces as much hope as fear. Many recently enacted European legislation (GDPR) and French…

cs.LG2018

Optimization of a SSP's Header Bidding Strategy using Thompson Sampling

Grégoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne +2

Over the last decade, digital media (web or app publishers) generalized the use of real time ad auctions to sell their ad spaces. Multiple auction platforms, also called Supply-Sid…

stat.ML2018

Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling

Emilie Kaufmann, Wouter Koolen, Aurelien Garivier

Learning the minimum/maximum mean among a finite set of distributions is a fundamental sub-task in planning, game tree search and reinforcement learning. We formalize this learning…

stat.ML2018

Profitable Bandits

Mastane Achab, Stephan Clémençon, Aurélien Garivier

Originally motivated by default risk management applications, this paper investigates a novel problem, referred to as the profitable bandit problem here. At each step, an agent cho…

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