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 Causal Context Connects Counterfactual Fairness to Robust Prediction and
Group FairnessNeural Information Processing Systems (NeurIPS), 2023 |
 Towards Characterizing Domain Counterfactuals For Invertible Latent
Causal ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 SimFair: A Unified Framework for Fairness-Aware Multi-Label
ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Counterfactual Identifiability of Bijective Causal ModelsInternational Conference on Machine Learning (ICML), 2023 |
 Fair and Optimal Classification via Post-ProcessingInternational Conference on Machine Learning (ICML), 2022 |
 Towards Explaining Distribution ShiftsInternational Conference on Machine Learning (ICML), 2022 Sean Kulinski David I. Inouye |
 Counterfactual Fairness Is Basically Demographic ParityAAAI Conference on Artificial Intelligence (AAAI), 2022 |
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 Causal Conceptions of Fairness and their ConsequencesInternational Conference on Machine Learning (ICML), 2022 |
 On Learning and Testing of Counterfactual Fairness through Data
PreprocessingJournal of the American Statistical Association (JASA), 2022 |
 High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 |
 Achieving Fairness with a Simple Ridge PenaltyStatistics and computing (Stat Comput), 2021 |
 Iterative Alignment FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Domain Generalization: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 Counterfactual Fairness with Disentangled Causal Effect Variational
AutoencoderAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 Adversarial Learning for Counterfactual FairnessMachine-mediated learning (ML), 2020 |
 Fair Regression with Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2020 |
 Counterfactual Fairness in Text Classification through RobustnessAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2018 |
 Equality of Opportunity in Supervised LearningNeural Information Processing Systems (NeurIPS), 2016 |
 Order-independent constraint-based causal structure learningJournal of machine learning research (JMLR), 2012 |
