Emilie Kaufmann (SEQUEL

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Papers (9)

1. Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings cs.NI · 2018 · author #7
2. Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling stat.ML · 2018 · author #1
3. What Doubling Tricks Can and Can't Do for Multi-Armed Bandits stat.ML · 2018 · author #2
4. Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence stat.ML · 2018 · author #3
5. Learning the distribution with largest mean: two bandit frameworks cs.LG · 2017 · author #1
6. On Explore-Then-Commit Strategies math.ST · 2016 · author #2
7. On Bayesian index policies for sequential resource allocation stat.ML · 2016 · author #1
8. A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks stat.ML · 2015 · author #1
9. On the Complexity of Best Arm Identification in Multi-Armed Bandit Models stat.ML · 2014 · author #1

Mentions

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Frequent Coauthors

• CNRS 4 shared papers
• CNRS) 4 shared papers
• CRIStAL) 4 shared papers
• Aur\'elien Garivier (IMT) 3 shared papers
• CRIStAL 3 shared papers
• Aurelien Garivier (IMT) 1 shared papers
• Christophe Moy (SCEE 1 shared papers
• DYOGENE) 1 shared papers
• IETR) 1 shared papers
• Jacques Palicot (IETR) 1 shared papers
• Javed Aslam 1 shared papers
• Jesse Anderton 1 shared papers
• Lilian Besson (IETR 1 shared papers
• Lilian Besson (IETR) 1 shared papers
• LINCS) 1 shared papers
• LTCI) 1 shared papers
• Marc Lelarge (LINCS 1 shared papers
• Maryam Aziz 1 shared papers
• Olivier Capp\'e (LTCI) 1 shared papers
• R\'emi Bonnefoi (IETR) 1 shared papers