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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
(2024)
Position: the causal revolution needs scientific pragmatism.
Proceedings of Machine Learning Research, 235.
pp. 32671-32679.
ISSN 1938-7228
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