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Ranked bandits in metric spaces: learning optimally diverse rankings
  over large document collections

Ranked bandits in metric spaces: learning optimally diverse rankings over large document collections

28 May 2010
Aleksandrs Slivkins
Filip Radlinski
Sreenivas Gollapudi
ArXivPDFHTML

Papers citing "Ranked bandits in metric spaces: learning optimally diverse rankings over large document collections"

6 / 6 papers shown
Title
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
Mohammad Reza Rezaei
Adji Bousso Dieng
VLM
60
2
0
16 Feb 2025
Adaptive Discretization for Adversarial Lipschitz Bandits
Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata
Aleksandrs Slivkins
20
16
0
22 Jun 2020
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms
  for Repeated Principal-Agent Problems
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho
Aleksandrs Slivkins
Jennifer Wortman Vaughan
44
143
0
12 May 2014
Bandits and Experts in Metric Spaces
Bandits and Experts in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
49
120
0
04 Dec 2013
On Multilabel Classification and Ranking with Partial Feedback
On Multilabel Classification and Ranking with Partial Feedback
Claudio Gentile
Francesco Orabona
59
17
0
30 Jun 2012
Contextual Bandits with Similarity Information
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
68
451
0
23 Jul 2009
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