Joshua R. Loftus

23 papers A* 5Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing. CoRR Jitao Wang, Chengchun Shi, John D. Piette, Joshua R. Loftus, Donglin Zeng, Zhenke Wu
2024	A*	`conf`	A New Paradigm for Counterfactual Reasoning in Fairness and Recourse. IJCAI Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2024	J	`jnl`	A New Paradigm for Counterfactual Reasoning in Fairness and Recourse. CoRR Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2024	A*	`conf`	Causal Dependence Plots. NeurIPS Joshua R. Loftus, Lucius Bynum, Sakina Hansen
2024	J	`jnl`	Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. SIGMOD Rec. Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2024	A*	`conf`	Position: The Causal Revolution Needs Scientific Pragmatism. ICML Joshua R. Loftus
2024	J	`jnl`	Position: The Causal Revolution Needs Scientific Pragmatism. CoRR Joshua R. Loftus
2023	J	`jnl`	Causal Dependence Plots for Interpretable Machine Learning. CoRR Joshua R. Loftus, Lucius E. J. Bynum, Sakina Hansen
2023	A*	`conf`	Counterfactuals for the Future. AAAI Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2023	J	`jnl`	Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Proc. VLDB Endow. Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2023	—	`conf`	It's About Time: Counterfactual Fairness and Temporal Depth. EWAF Joshua R. Loftus
2023	—	`conf`	Model-Agnostic Auditing: A Lost Cause? EWAF Sakina Hansen, Joshua R. Loftus
2022	J	`jnl`	Counterfactuals for the Future. CoRR Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2021	—	`conf`	Causal Intersectionality and Fair Ranking. FORC Ke Yang, Joshua R. Loftus, Julia Stoyanovich
2021	—	`conf`	Disaggregated Interventions to Reduce Inequality. EAAMO Lucius Bynum, Joshua R. Loftus, Julia Stoyanovich
2021	J	`jnl`	Impact Remediation: Optimal Interventions to Reduce Inequality. CoRR Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
2020	J	`jnl`	Causal intersectionality for fair ranking. CoRR Ke Yang, Joshua R. Loftus, Julia Stoyanovich
2019	A*	`conf`	Making Decisions that Reduce Discriminatory Impacts. ICML Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva
2018	J	`jnl`	Causal Interventions for Fairness. CoRR Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva
2018	J	`jnl`	Causal Reasoning for Algorithmic Fairness. CoRR Joshua R. Loftus, Chris Russell, Matt J. Kusner, Ricardo Silva
2017	—	`conf`	Counterfactual Fairness. NIPS Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva
2017	J	`jnl`	Counterfactual Fairness. CoRR Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva
2017	—	`conf`	When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. NIPS Chris Russell, Matt J. Kusner, Joshua R. Loftus, Ricardo Silva