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Loftus, Joshua R. ORCID: 0000-0002-2905-1632 (2024) Position: the causal revolution needs scientific pragmatism. Proceedings of Machine Learning Research, 235. pp. 32671-32679. ISSN 1938-7228
Bynum, Lucius E.J., Loftus, Joshua R. ORCID: 0000-0002-2905-1632 and Stoyanovich, Julia (2024) A new paradigm for counterfactual reasoning in fairness and recourse. In: Larson, Kate, (ed.) Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, pp. 7092-7100. ISBN 9781956792041
Loftus, Joshua R. ORCID: 0000-0002-2905-1632 (2023) It’s about time: counterfactual fairness and temporal depth. CEUR Workshop Proceedings, 3442. ISSN 1613-0073
Bynum, Lucius E.J., Loftus, Joshua R. ORCID: 0000-0002-2905-1632 and Stoyanovich, Julia (2023) Counterfactuals for the future. In: Williams, Brian, Chen, Yiling and Neville, Jennifer, (eds.) AAAI-23 Special Tracks. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 (12). AAAI Press, pp. 14144-14152. ISBN 9781577358800
Yang, Ke, Loftus, Joshua R. ORCID: 0000-0002-2905-1632 and Stoyanovich, Julia (2021) Causal intersectionality and fair ranking. In: Ligett, Katrina and Gupta, Swati, (eds.) 2nd Symposium on Foundations of Responsible Computing, FORC 2021. Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Virtual, Online. ISBN 9783959771870