Joshua R. Loftus

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Differential Privacy

Making Decisions

Possibilistic Networks

Top Venues

Proc. VLDB Endow.

Publications

Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. SIGMOD Rec. 53 (1) (2024)
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse. CoRR (2024)
Joshua R. Loftus
Position: The Causal Revolution Needs Scientific Pragmatism. CoRR (2024)
Joshua R. Loftus, Lucius E. J. Bynum, Sakina Hansen
Causal Dependence Plots for Interpretable Machine Learning. CoRR (2023)
Joshua R. Loftus
It's About Time: Counterfactual Fairness and Temporal Depth. EWAF (2023)
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
Counterfactuals for the Future. AAAI (2023)
Sakina Hansen, Joshua R. Loftus
Model-Agnostic Auditing: A Lost Cause? EWAF (2023)
Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth Mckinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Proc. VLDB Endow. 16 (11) (2023)
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
Counterfactuals for the Future. CoRR (2022)
Lucius Bynum, Joshua R. Loftus, Julia Stoyanovich
Disaggregated Interventions to Reduce Inequality. EAAMO (2021)
Ke Yang, Joshua R. Loftus, Julia Stoyanovich
Causal Intersectionality and Fair Ranking. FORC (2021)
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
Impact Remediation: Optimal Interventions to Reduce Inequality. CoRR (2021)
Ke Yang, Joshua R. Loftus, Julia Stoyanovich
Causal intersectionality for fair ranking. CoRR (2020)
Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva
Making Decisions that Reduce Discriminatory Impacts. ICML (2019)
Joshua R. Loftus, Chris Russell, Matt J. Kusner, Ricardo Silva
Causal Reasoning for Algorithmic Fairness. CoRR (2018)
Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva
Causal Interventions for Fairness. CoRR (2018)
Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva
Counterfactual Fairness. CoRR (2017)
Chris Russell, Matt J. Kusner, Joshua R. Loftus, Ricardo Silva
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. NIPS (2017)
Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva
Counterfactual Fairness. NIPS (2017)