Co-occurring keywords · papers mentioning both
Papers
Budget Feasible Mechanisms Over Graphs
AAAI 2021
Classification with Strategically Withheld Data
AAAI 2021
Incentive-Aware PAC Learning
AAAI 2021
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences
JMLR 2021
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
ICML 2021
Sample Elicitation
AISTATS 2021
Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
IJCAI 2021
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
NeurIPS 2021
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
NeurIPS 2020
Bounded Incentives in Manipulating the Probabilistic Serial Rule
AAAI 2020
Incentive-Compatible Diffusion Auctions
IJCAI 2020
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract)
IJCAI 2020
Limitations of Incentive Compatibility on Discrete Type Spaces
AAAI 2020
Mechanism Design with Uncertainty
IJCAI 2020
No-Regret and Incentive-Compatible Online Learning
ICML 2020
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
IJCAI 2020
Selling Data at an Auction under Privacy Constraints
UAI 2020
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders
AAAI 2019
An Equivalence between Wagering and Fair-Division Mechanisms
AAAI 2019
Approximately Maximizing the Broker's Profit in a Two-sided Market
IJCAI 2019
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
IJCAI 2019
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
AAAI 2019
Diffusion and Auction on Graphs
IJCAI 2019
Learning Auctions with Robust Incentive Guarantees
NeurIPS 2019
Optimal Auctions through Deep Learning
ICML 2019