How do fairness definitions fare? testing public attitudes towards three algorithmic definitions of fairness in loan allocations.” Artificial Intelligence, 283, 103238. Download
. 2020. “Radanovic, Goran
Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments.” In NeurIPS 2020 workshop on Cooperative AI. Download
. 2020. “
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations.” Artificial Intelligence, 283, 103238 . Download
. 2020. “
The Effectiveness of Peer Prediction in Long-Term Forecasting.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020) . Download
. 2020. “
Learning to Collaborate in Markov Decision Processes.” In Proceedings of the 36th International Conference on Machine Learning (ICML'19), Pp. 5261-5270. Download
. 2019. “
Bayesian Fairness.” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI). Download
. 2019. “
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness.” In Proceedings of AI Ethics and Society (AIES) , Pp. 99-106. Download
. 2019. “
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18). Download
. 2018. “
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18). Download
. 2018. “
Game Theory for Data Science: Eliciting Truthful Information. Morgan & Claypool Publishers.
. 2017.
Fair Experimentation.” In Conference on Digital Experimentation (CODE).
. 2017. “
Multi-View Decision Processes: The Helper-AI Problem.” In Proc. 30th Advances in Neural Information Processing Systems (NIPS'17), Pp. 5449-5458. Download
. 2017. “