Co-occurring keywords · papers mentioning both
Papers
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing
AAAI 2022
Cooperation in Threshold Public Projects with Binary Actions
IJCAI 2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences
ICML 2021
Stateful Strategic Regression
NeurIPS 2021
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids
AAAI 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes
IJCAI 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards
ICML 2020
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract)
IJCAI 2020
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems
AAAI 2020
What Can We Do to Improve Peer Review in NLP?
EMNLP 2020
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
AAAI 2019
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy
IJCAI 2019
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits
AAAI 2019
Multi-armed Bandit Problems with Strategic Arms
COLT 2019
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
UAI 2019
You Get What You Share: Incentives for a Sharing Economy
AAAI 2019
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
NeurIPS 2018
Securing and scaling cryptocurrencies
IJCAI 2017
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
JMLR 2016
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
ICML 2016
Approval Voting and Incentives in Crowdsourcing
ICML 2015
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
NeurIPS 2015
Optimum Statistical Estimation with Strategic Data Sources
COLT 2015
A Collaborative Mechanism for Crowdsourcing Prediction Problems
NeurIPS 2011