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Publication search results
found 16 matches
- 2024
- Jake Barrett, Alasdair Day, Kobi Gal:
Improving Model Fairness with Time-Augmented Bayesian Knowledge Tracing. LAK 2024: 46-54 - 2023
- Andreas Nikolaos Athanasopoulos, Amanda Belfrage, David Berg Marklund, Christos Dimitrakakis:
Approximate Inference for the Bayesian Fairness Framework. EWAF 2023 - Alice Doherty, Matthew Wicker, Luca Laurenti, Andrea Patane:
Individual Fairness in Bayesian Neural Networks. CoRR abs/2304.10828 (2023) - 2022
- Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla:
Equity and Fairness of Bayesian Knowledge Tracing. EDM 2022 - Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla:
Equity and Fairness of Bayesian Knowledge Tracing. CoRR abs/2205.02333 (2022) - Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak:
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. CoRR abs/2211.11183 (2022) - 2021
- Ishani Chakraborty:
Bayesian model for Fairness in sampling from clustered data and FP-FN error rates. IEEE BigData 2021: 4251-4259 - Ece C. Mutlu, Özlem Özmen Garibay:
A Quantum Leap for Fairness: Quantum Bayesian Approach for Fair Decision Making. HCI (41) 2021: 489-499 - 2020
- Ishani Chakraborty:
Bayesian Sampler: Fairness in Sampling. ICMLA 2020: 246-251 - Disi Ji, Padhraic Smyth, Mark Steyvers:
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference. NeurIPS 2020 - James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan:
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. SDM 2020: 424-432 - Disi Ji, Padhraic Smyth, Mark Steyvers:
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference. CoRR abs/2010.09851 (2020) - 2019
- Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. AAAI 2019: 509-516 - Silvia Chiappa, William S. Isaac:
A Causal Bayesian Networks Viewpoint on Fairness. CoRR abs/1907.06430 (2019) - 2018
- Silvia Chiappa, William S. Isaac:
A Causal Bayesian Networks Viewpoint on Fairness. Privacy and Identity Management 2018: 3-20 - James R. Foulds, Rashidul Islam, Kamrun Keya, Shimei Pan:
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. CoRR abs/1811.07255 (2018)
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