Counterfactual Fairness. - Matt J. Kusner; Joshua R. Loftus; Chris Russell 001; Ricardo Silva 001 (NIPS, 2017)

When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. - Chris Russell 001; Matt J. Kusner; Joshua R. Loftus; Ricardo Silva 001 (NIPS, 2017)

Causal Reasoning for Algorithmic Fairness. - Joshua R. Loftus; Chris Russell 001; Matt J. Kusner; Ricardo Silva 001 (CoRR, 2018)

Causal Interventions for Fairness. - Matt J. Kusner; Chris Russell 001; Joshua R. Loftus; Ricardo Silva 001 (CoRR, 2018)

Making Decisions that Reduce Discriminatory Impacts. - Matt J. Kusner; Chris Russell 001; Joshua R. Loftus; Ricardo Silva 001 (ICML, 2019)

Causal intersectionality for fair ranking. - Ke Yang 003; Joshua R. Loftus; Julia Stoyanovich (CoRR, 2020)

Disaggregated Interventions to Reduce Inequality. - Lucius Bynum; Joshua R. Loftus; Julia Stoyanovich (EAAMO, 2021)

Causal Intersectionality and Fair Ranking. - Ke Yang 003; Joshua R. Loftus; Julia Stoyanovich (FORC, 2021)

Impact Remediation: Optimal Interventions to Reduce Inequality. - Lucius E. J. Bynum; Joshua R. Loftus; Julia Stoyanovich (CoRR, 2021)

Counterfactuals for the Future. - Lucius E. J. Bynum; Joshua R. Loftus; Julia Stoyanovich (AAAI, 2023)

Model-Agnostic Auditing: A Lost Cause? - Sakina Hansen; Joshua R. Loftus (EWAF, 2023)

It's About Time: Counterfactual Fairness and Temporal Depth. - Joshua R. Loftus (EWAF, 2023)

Causal Dependence Plots for Interpretable Machine Learning. - Joshua R. Loftus; Lucius E. J. Bynum; Sakina Hansen (CoRR, 2023)

Position: The Causal Revolution Needs Scientific Pragmatism. - Joshua R. Loftus (ICML, 2024)

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse. - Lucius E. J. Bynum; Joshua R. Loftus; Julia Stoyanovich (IJCAI, 2024)

Causal Dependence Plots. - Joshua R. Loftus; Lucius Bynum; Sakina Hansen (NeurIPS, 2024)

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. - Lucas Rosenblatt; Bernease Herman; Anastasia Holovenko; Wonkwon Lee; Joshua R. Loftus; Elizabeth McKinnie; Taras Rumezhak; Andrii Stadnik; Bill Howe; Julia Stoyanovich (SIGMOD Rec., 2024)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing. - Jitao Wang; Chengchun Shi; John D. Piette; Joshua R. Loftus; Donglin Zeng; Zhenke Wu (CoRR, 2025)