ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.05017
  4. Cited By
Adaptively Learning to Select-Rank in Online Platforms

Adaptively Learning to Select-Rank in Online Platforms

7 June 2024
Jingyuan Wang
Perry Dong
Ying Jin
Ruohan Zhan
Zhengyuan Zhou
    CML
ArXiv (abs)PDFHTML

Papers citing "Adaptively Learning to Select-Rank in Online Platforms"

6 / 6 papers shown
Title
Online Learning to Rank with Features
Online Learning to Rank with Features
Shuai Li
Tor Lattimore
Csaba Szepesvári
49
32
0
05 Oct 2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello
Sayali Kulkarni
Sagar Jain
Craig Boutilier
Ed H. Chi
Elad Eban
Xiyang Luo
Alan Mackey
Ofer Meshi
123
93
0
04 Oct 2018
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
Shipra Agrawal
Vashist Avadhanula
Vineet Goyal
A. Zeevi
150
158
0
13 Jun 2017
Multiple-Play Bandits in the Position-Based Model
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée
Claire Vernade
Olivier Cappé
54
84
0
08 Jun 2016
Cascading Bandits: Learning to Rank in the Cascade Model
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton
Csaba Szepesvári
Zheng Wen
Azin Ashkan
209
284
0
10 Feb 2015
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
178
1,155
0
07 Jan 2015
1