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The Sample Complexity of Best-$k$ Items Selection from Pairwise
  Comparisons
v1v2 (latest)

The Sample Complexity of Best-kkk Items Selection from Pairwise Comparisons

6 July 2020
Wenbo Ren
Jia Liu
Ness B. Shroff
ArXiv (abs)PDFHTML

Papers citing "The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons"

5 / 5 papers shown
Near-Optimal Pure Exploration in Matrix Games: A Generalization of
  Stochastic Bandits & Dueling Bandits
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Arnab Maiti
Ross Boczar
Kevin Jamieson
Lillian J. Ratliff
450
9
0
25 Oct 2023
Identifying Copeland Winners in Dueling Bandits with Indifferences
Identifying Copeland Winners in Dueling Bandits with IndifferencesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Viktor Bengs
Björn Haddenhorst
Eyke Hüllermeier
310
0
0
01 Oct 2023
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with
  Semi-bandit Feedback and Finite Budget
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite BudgetNeural Information Processing Systems (NeurIPS), 2022
Jasmin Brandt
Viktor Bengs
Björn Haddenhorst
Eyke Hüllermeier
302
8
0
09 Feb 2022
Dueling Bandits with Team Comparisons
Dueling Bandits with Team Comparisons
Lee Cohen
Ulrike Schmidt-Kraepelin
Yishay Mansour
196
1
0
06 Jul 2021
Semi-verified PAC Learning from the Crowd
Semi-verified PAC Learning from the CrowdInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shiwei Zeng
Jie Shen
342
4
0
13 Jun 2021
1
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