How do fairness definitions fare? Examining public attitudes towards algorithmic definitions of fairness NA Saxena, K Huang, E DeFilippis, G Radanovic, DC Parkes, Y Liu Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 99-106, 2019 | 215 | 2019 |
A robust bayesian truth serum for non-binary signals G Radanovic, B Faltings Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 833-839, 2013 | 146 | 2013 |
Policy teaching via environment poisoning: Training-time adversarial attacks against reinforcement learning A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla International Conference on Machine Learning, 7974-7984, 2020 | 134 | 2020 |
Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes arXiv preprint arXiv:1707.01875, 2017 | 123 | 2017 |
Incentives for effort in crowdsourcing using the peer truth serum G Radanovic, B Faltings, R Jurca ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 1-28, 2016 | 115 | 2016 |
Incentives for truthful information elicitation of continuous signals G Radanovic, B Faltings Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 83 | 2014 |
Incentive schemes for participatory sensing G Radanovic, B Faltings Proceedings of the 14th international conference on autonomous agents and …, 2015 | 63 | 2015 |
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations NA Saxena, K Huang, E DeFilippis, G Radanovic, DC Parkes, Y Liu Artificial Intelligence 283, 103238, 2020 | 61 | 2020 |
Game theory for data science: Eliciting truthful information B Faltings, G Radanovic Springer Nature, 2022 | 58 | 2022 |
Reinforcement learning for education: Opportunities and challenges A Singla, AN Rafferty, G Radanovic, NT Heffernan arXiv preprint arXiv:2107.08828, 2021 | 47 | 2021 |
Explicable reward design for reinforcement learning agents R Devidze, G Radanovic, P Kamalaruban, A Singla Advances in neural information processing systems 34, 20118-20131, 2021 | 43 | 2021 |
Diversity in news recommendations A Bernstein, C De Vreese, N Helberger, W Schulz, K Zweig, C Baden, ... arXiv preprint arXiv:2005.09495, 2020 | 43 | 2020 |
Bayesian fairness C Dimitrakakis, Y Liu, DC Parkes, G Radanovic Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019 | 43 | 2019 |
Learning to collaborate in markov decision processes G Radanovic, R Devidze, D Parkes, A Singla International Conference on Machine Learning, 5261-5270, 2019 | 39 | 2019 |
Incentives for subjective evaluations with private beliefs G Radanovic, B Faltings Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 33 | 2015 |
Multi-view decision processes: the helper-ai problem C Dimitrakakis, DC Parkes, G Radanovic, P Tylkin Advances in neural information processing systems 30, 2017 | 31 | 2017 |
Bayesian persuasion in sequential decision-making J Gan, R Majumdar, G Radanovic, A Singla Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5025-5033, 2022 | 28 | 2022 |
Defense against reward poisoning attacks in reinforcement learning K Banihashem, A Singla, G Radanovic arXiv preprint arXiv:2102.05776, 2021 | 28 | 2021 |
Policy teaching in reinforcement learning via environment poisoning attacks A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla Journal of Machine Learning Research 22 (210), 1-45, 2021 | 26 | 2021 |
Learning robust helpful behaviors in two-player cooperative Atari environments P Tylkin, G Radanovic, DC Parkes Proceedings of the 20th international conference on autonomous agents and …, 2021 | 15 | 2021 |