Edward McFowland III

16 papers A* 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auditing Predictive Models for Intersectional Biases. Trans. Mach. Learn. Res. Kate S. Boxer, Edward McFowland III, Daniel B. Neill
2025	—	`conf`	Difference-in-Differences Subset Scan. KDD (2) Will Stamey, Sriram Somanchi, Edward McFowland III
2023	J	`jnl`	Auditing Predictive Models for Intersectional Biases. CoRR Kate S. Boxer, Edward McFowland III, Daniel B. Neill
2023	J	`jnl`	Efficient Representation of the Activation Space in Deep Neural Networks. CoRR Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III
2023	J	`jnl`	Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators. J. Mach. Learn. Res. Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill
2023	J	`jnl`	Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness. CoRR Neil Menghani, Edward McFowland III, Daniel B. Neill
2023	A*	`conf`	Provable Detection of Propagating Sampling Bias in Prediction Models. AAAI Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
2023	J	`jnl`	Provable Detection of Propagating Sampling Bias in Prediction Models. CoRR Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
2022	J	`jnl`	Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
2021	J	`jnl`	A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects. MIS Q. Edward McFowland III, Sandeep Gangarapu, Ravi Bapna, Tianshu Sun
2021	J	`jnl`	Pattern Detection in the Activation Space for Identifying Synthesized Content. CoRR Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
2020	J	`jnl`	Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem. CoRR Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius
2018	A*	`conf`	Automated Local Regression Discontinuity Design Discovery. KDD William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
2018	—	`ch.`	Disease Surveillance: Case Study. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Skyler Speakman, Sriram Somanchi, Edward McFowland III, Daniel B. Neill
2018	J	`jnl`	Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. CoRR William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
2016	J	`jnl`	Controlling for Latent Homophily in Social Networks through Inferring Latent Locations. CoRR Cosma Rohilla Shalizi, Edward McFowland III