Loftus, Joshua R.

Number of items: 10.
LSE
  • Bynum, Lucius E.J., Loftus, Joshua R., Stoyanovich, Julia (2024). A new paradigm for counterfactual reasoning in fairness and recourse. In Larson, K. (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 7092-7100). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/784 picture_as_pdf
    • Statistics
  • Loftus, Joshua, Bynum, Lucius, Hansen, Sakina (2024). Causal dependence plots. In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (Eds.), Advances in Neural Information Processing Systems . picture_as_pdf
  • Bynum, Lucius E.J., Loftus, Joshua R., Stoyanovich, Julia (2024). A new paradigm for counterfactual reasoning in fairness and recourse. In Larson, K. (Ed.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (pp. 7092-7100). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/784 picture_as_pdf
  • Fahrenwaldt, Matthias, Furrer, Christian, Hiabu, Munir Eberhardt, Huang, Fei, Jørgensen, Frederik Hytting, Lindholm, Mathias, Loftus, Joshua, Steffensen, Mogens, Tsanakas, Andreas (2024). Fairness: plurality, causality, and insurability. European Actuarial Journal, 14(2), 317 - 328. https://doi.org/10.1007/s13385-024-00387-3 picture_as_pdf
  • Loftus, Joshua R. (2024). Position: the causal revolution needs scientific pragmatism. Proceedings of Machine Learning Research, 235, 32671-32679. picture_as_pdf
  • Loftus, Joshua R. (2023). It’s about time: counterfactual fairness and temporal depth. CEUR Workshop Proceedings, 3442, picture_as_pdf
  • Hansen, Sakina, Loftus, Joshua (2023). Model-agnostic auditing a lost cause? CEUR Workshop Proceedings, 3442, picture_as_pdf
  • Rosenblatt, Lucas, Herman, Bernease, Holovenko, Anastasia, Lee, Wonkwon, Loftus, Joshua, McKinnie, Elizabeth, Rumezhak, Taras, Stadnik, Andrii, Howe, Bill, Stoyanovich, Julia (2023). Epistemic parity: reproducibility as an evaluation metric for differential privacy. Proceedings of the VLDB Endowment, 16(11), 3178 – 3191. https://doi.org/10.14778/3611479.3611517 picture_as_pdf
  • Bynum, Lucius E.J., Loftus, Joshua R., Stoyanovich, Julia (2023). Counterfactuals for the future. In Williams, B., Chen, Y. & Neville, J. (Eds.), AAAI-23 Special Tracks (pp. 14144-14152). AAAI Press. https://doi.org/10.1609/aaai.v37i12.26655
  • Bynum, Lucius, Loftus, Joshua, Stoyanovich, Julia (2021). Disaggregated interventions to reduce inequality. In Proceedings of 2021 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2021 . Association for Computing Machinery. https://doi.org/10.1145/3465416.3483286 picture_as_pdf
  • Yang, Ke, Loftus, Joshua R., Stoyanovich, Julia (2021). Causal intersectionality and fair ranking. In Ligett, K. & Gupta, S. (Eds.), 2nd Symposium on Foundations of Responsible Computing, FORC 2021 . Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.FORC.2021.7 picture_as_pdf