Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness

Adam Foster, Árpi Vezér, Craig A. Glastonbury, Páidi Creed, Samer Abujudeh, Aaron Sim. Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 6578-6621, PMLR, 2022. [doi]

Abstract

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