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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

12 May 2014
Chien-Ju Ho
Aleksandrs Slivkins
Jennifer Wortman Vaughan
ArXivPDFHTML

Papers citing "Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems"

16 / 16 papers shown
Title
Welfare and Beyond in Multi-Agent Contracts
Welfare and Beyond in Multi-Agent Contracts
Gil Aharoni
Martin Hoefer
Inbal Talgam-Cohen
35
0
0
26 Apr 2025
Steering No-Regret Agents in MFGs under Model Uncertainty
Steering No-Regret Agents in MFGs under Model Uncertainty
Leo Widmer
Jiawei Huang
Niao He
LLMSV
66
0
0
12 Mar 2025
Contract Design Under Approximate Best Responses
Contract Design Under Approximate Best Responses
Francesco Bacchiocchi
Jiarui Gan
Matteo Castiglioni
A. Marchesi
N. Gatti
62
0
0
21 Feb 2025
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and
  Limited Liability
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability
Natalie Collina
Varun Gupta
Aaron Roth
32
1
0
27 Feb 2024
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden
  Rewards
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards
Ilgin Dogan
Zuo‐Jun Max Shen
A. Aswani
22
3
0
13 Aug 2023
Online Learning in Stackelberg Games with an Omniscient Follower
Online Learning in Stackelberg Games with an Omniscient Follower
Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
42
14
0
27 Jan 2023
Principal-Agent Hypothesis Testing
Principal-Agent Hypothesis Testing
Stephen Bates
Michael I. Jordan
M. Sklar
Jake A. Soloff
32
16
0
13 May 2022
Bilateral Trade: A Regret Minimization Perspective
Bilateral Trade: A Regret Minimization Perspective
Nicolò Cesa-Bianchi
Tommaso Cesari
Roberto Colomboni
Federico Fusco
S. Leonardi
43
21
0
08 Sep 2021
Competing Bandits: The Perils of Exploration Under Competition
Competing Bandits: The Perils of Exploration Under Competition
Guy Aridor
Yishay Mansour
Aleksandrs Slivkins
Zhiwei Steven Wu
25
16
0
20 Jul 2020
Adaptive Discretization for Adversarial Lipschitz Bandits
Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata
Aleksandrs Slivkins
20
16
0
22 Jun 2020
Bayesian Exploration with Heterogeneous Agents
Bayesian Exploration with Heterogeneous Agents
Nicole Immorlica
Jieming Mao
Aleksandrs Slivkins
Zhiwei Steven Wu
29
24
0
19 Feb 2019
Regularized Minimax Conditional Entropy for Crowdsourcing
Regularized Minimax Conditional Entropy for Crowdsourcing
Dengyong Zhou
Qiang Liu
John C. Platt
Christopher Meek
Nihar B. Shah
NoLa
38
71
0
25 Mar 2015
Optimum Statistical Estimation with Strategic Data Sources
Optimum Statistical Estimation with Strategic Data Sources
Yang Cai
C. Daskalakis
Christos H. Papadimitriou
49
136
0
11 Aug 2014
Resourceful Contextual Bandits
Resourceful Contextual Bandits
Ashwinkumar Badanidiyuru
John Langford
Aleksandrs Slivkins
45
117
0
27 Feb 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
Online Decision Making in Crowdsourcing Markets: Theoretical Challenges
  (Position Paper)
Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper)
Aleksandrs Slivkins
Jennifer Wortman Vaughan
39
88
0
08 Aug 2013
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