Online Learning via Offline Greedy Algorithms: Applications in Market
Design and Optimization

Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization

18 February 2021

Negin Golrezaei

Fransisca Susan

Ashwinkumar Badanidiyuru

Papers citing "Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization"

11 / 11 papers shown

Title
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 47 2 0 18 May 2024
Federated Combinatorial Multi-Agent Multi-Armed Bandits Fares Fourati Mohamed-Slim Alouini Vaneet Aggarwal FedML 38 5 0 09 May 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization M. Pedramfar Vaneet Aggarwal 44 3 0 27 Apr 2024
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention Arpit Agarwal Rad Niazadeh Prathamesh Patil 34 0 0 21 Feb 2024
A Unified Approach for Maximizing Continuous DR-submodular Functions M. Pedramfar Christopher J. Quinn Vaneet Aggarwal 24 7 0 26 May 2023
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback M. Pedramfar Vaneet Aggarwal 30 2 0 23 Mar 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback G. Nie Yididiya Y. Nadew Yanhui Zhu Vaneet Aggarwal Christopher J. Quinn OffRL 30 13 0 30 Jan 2023
Product Ranking for Revenue Maximization with Multiple Purchases Renzhe Xu Xingxuan Zhang Yangqiu Song Yafeng Zhang Xiaolong Chen Peng Cui 27 2 0 15 Oct 2022
Active Learning for Non-Parametric Choice Models Fransisca Susan Negin Golrezaei E. Emamjomeh-Zadeh David Kempe CML 11 3 0 05 Aug 2022
Contextual Bandits with Cross-learning S. Balseiro Negin Golrezaei Mohammad Mahdian Vahab Mirrokni Jon Schneider 21 50 0 25 Sep 2018
Blackwell Approachability and Low-Regret Learning are Equivalent Jacob D. Abernethy Peter L. Bartlett Elad Hazan 86 117 0 08 Nov 2010