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Incentivizing evaluation with peer prediction and limited access to ground truth.

, , and . Artif. Intell., (2019)

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Models of Level-0 Behavior for Predicting Human Behavior in Games., and . CoRR, (2016)Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse., , and . CoRR, (2016)The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models., , , and . CoRR, (2021)Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms., and . CoRR, (2021)Game Theoretic Malware Detection., , , and . CoRR, (2020)Mechanical TA: Partially Automated High-Stakes Peer Grading., , and . SIGCSE, page 96-101. ACM, (2015)Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7818-7828. PMLR, (2021)Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities., , , , , and . ICSME, page 463-473. IEEE, (2023)Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization., , , and . CoRR, (2019)Predicting human behavior in unrepeated, simultaneous-move games., and . Games Econ. Behav., (2017)