Goran Radanović
Goran Radanović
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Titel
Zitiert von
Zitiert von
Jahr
A robust bayesian truth serum for non-binary signals
G Radanovic, B Faltings
Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013
1162013
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
792016
Calibrated fairness in bandits
Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes
arXiv preprint arXiv:1707.01875, 2017
562017
Incentives for truthful information elicitation of continuous signals
G Radanovic, B Faltings
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
562014
Incentive schemes for participatory sensing
G Radanovic, B Faltings
Proceedings of the 14th international conference on autonomous agents and …, 2015
512015
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
402019
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
322017
Incentives for subjective evaluations with private beliefs
G Radanovic, B Faltings
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
262015
Multi-view decision processes: the helper-ai problem
C Dimitrakakis, D Parkes, G Radanovic, P Tylkin
31st Conference on Neural Information Processing Systems (NIPS), 2019
162019
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
152020
Learning to collaborate in markov decision processes
G Radanovic, R Devidze, D Parkes, A Singla
International Conference on Machine Learning, 5261-5270, 2019
122019
Bayesian fairness
C Dimitrakakis, Y Liu, DC Parkes, G Radanovic
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019
102019
How Do Fairness Definitions Fare
N Saxena, K Huang, E DeFilippis, G Radanovic, D Parkes, Y Liu
Examining Public Attitudes Towards Algorithmic Definitions of Fairness. AIES, 2019
72019
Learning to scale payments in crowdsourcing with properboost
G Radanovic, B Faltings
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (1), 2016
62016
Limiting the influence of low quality information in community sensing
G Radanovic, B Faltings
Proceedings of the 15th International Conference on Autonomous Agents and …, 2016
52016
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
42020
Subjective fairness: Fairness is in the eye of the beholder
C Dimitrakakis, Y Liu, D Parkes, G Radanovic
arXiv preprint arXiv:1706.00119, 2017
42017
Diversity in news recommendations
A Bernstein, C de Vreese, N Helberger, W Schulz, K Zweig, C Baden, ...
arXiv preprint arXiv:2005.09495, 2020
32020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla
arXiv preprint arXiv:2011.10824, 2020
22020
Information gathering with peers: Submodular optimization with peer-prediction constraints
G Radanovic, A Singla, A Krause, B Faltings
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
22018
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