| 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 | 135 | 2019 |
| A robust bayesian truth serum for non-binary signals G Radanovic, B Faltings Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 135 | 2013 |
| 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 | 100 | 2016 |
| Calibrated fairness in bandits Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes arXiv preprint arXiv:1707.01875, 2017 | 94 | 2017 |
| Incentives for truthful information elicitation of continuous signals G Radanovic, B Faltings Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 76 | 2014 |
| 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 | 68 | 2020 |
| Incentive schemes for participatory sensing G Radanovic, B Faltings Proceedings of the 14th international conference on autonomous agents and …, 2015 | 60 | 2015 |
| Game theory for data science: Eliciting truthful information B Faltings, G Radanovic Synthesis Lectures on Artificial Intelligence and Machine Learning 11 (2), 1-151, 2017 | 45 | 2017 |
| 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 | 31 | 2020 |
| Bayesian fairness C Dimitrakakis, Y Liu, DC Parkes, G Radanovic Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019 | 31 | 2019 |
| Learning to collaborate in markov decision processes G Radanovic, R Devidze, D Parkes, A Singla International Conference on Machine Learning, 5261-5270, 2019 | 29 | 2019 |
| Incentives for subjective evaluations with private beliefs G Radanovic, B Faltings Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 29 | 2015 |
| Diversity in news recommendations A Bernstein, C De Vreese, N Helberger, W Schulz, K Zweig, C Baden, ... arXiv preprint arXiv:2005.09495, 2020 | 24 | 2020 |
| Multi-view decision processes: the helper-ai problem C Dimitrakakis, DC Parkes, G Radanovic, P Tylkin Advances in neural information processing systems 30, 2017 | 24 | 2017 |
| Reinforcement learning for education: Opportunities and challenges A Singla, AN Rafferty, G Radanovic, NT Heffernan arXiv preprint arXiv:2107.08828, 2021 | 18 | 2021 |
| Policy teaching in reinforcement learning via environment poisoning attacks A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla The Journal of Machine Learning Research 22 (1), 9567-9611, 2021 | 16 | 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 | 12 | 2021 |
| Defense against reward poisoning attacks in reinforcement learning K Banihashem, A Singla, G Radanovic arXiv preprint arXiv:2102.05776, 2021 | 11 | 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 | 9 | 2021 |
| Learning to scale payments in crowdsourcing with properboost G Radanovic, B Faltings Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 …, 2016 | 9 | 2016 |
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