Edward McFowland III

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Predictive Model

Pattern Detection

Causal Inference

Top Venues

J. Mach. Learn. Res.

Publications

Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
Provable Detection of Propagating Sampling Bias in Prediction Models. AAAI (2023)
Neil Menghani, Edward McFowland III, Daniel B. Neill
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness. CoRR (2023)
Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III
Efficient Representation of the Activation Space in Deep Neural Networks. CoRR (2023)
Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
Provable Detection of Propagating Sampling Bias in Prediction Models. CoRR (2023)
Kate S. Boxer, Edward McFowland III, Daniel B. Neill
Auditing Predictive Models for Intersectional Biases. CoRR (2023)
Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators. J. Mach. Learn. Res. 24 (2023)
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. 153 (2022)
Edward McFowland III, Sandeep Gangarapu, Ravi Bapna, Tianshu Sun
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects. MIS Q. 45 (4) (2021)
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
Pattern Detection in the Activation Space for Identifying Synthesized Content. CoRR (2021)
Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem. CoRR (2020)
William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
Automated Local Regression Discontinuity Design Discovery. KDD (2018)
William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. CoRR (2018)
Cosma Rohilla Shalizi, Edward McFowland III
Controlling for Latent Homophily in Social Networks through Inferring Latent Locations. CoRR (2016)