Robust counterfactual explanations for neural networks with probabilistic guarantees F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta International Conference on Machine Learning, 12351-12367, 2023 | 20 | 2023 |
Demystifying local and global fairness trade-offs in federated learning using partial information decomposition F Hamman, S Dutta International Conference on Learning Representations, ICLR 2024., https …, 2024 | 12* | 2024 |
Can querying for bias leak protected attributes? achieving privacy with smooth sensitivity F Hamman, J Chen, S Dutta Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 9 | 2023 |
A review of partial information decomposition in algorithmic fairness and explainability S Dutta, F Hamman Entropy 25 (5), 795, 2023 | 5 | 2023 |
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition F Hamman, S Dutta arXiv preprint arXiv:2406.04562, 2024 | 1 | 2024 |
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta IEEE Journal on Selected Areas in Information Theory, 2024 | 1 | 2024 |
Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs F Hamman, P Dissanayake, S Mishra, F Lecue, S Dutta arXiv preprint arXiv:2407.04173, 2024 | | 2024 |
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition B Halder, F Hamman, P Dissanayake, Q Zhang, I Sucholutsky, S Dutta arXiv preprint arXiv:2407.00482, 2024 | | 2024 |
An Entropic Risk Measure for Robust Counterfactual Explanations E Noorani, F Hamman, S Dutta | | |