Edward McFowland

According to our database, Edward McFowland authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Subset scanning for multi-trait analysis using GWAS summary statistics.

Rui Cao, Evan Olawsky, Edward McFowland, Erin Marcotte, Logan Spector, Tianzhong Yang

Bioinform., January, 2024

2023

So, Who Likes You? Evidence from a Randomized Field Experiment.

Ravi Bapna, Edward McFowland, Probal Mojumder, Jui Ramaprasad, Akhmed Umyarov

Manag. Sci., July, 2023

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators.

Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill

J. Mach. Learn. Res., 2023

Efficient Representation of the Activation Space in Deep Neural Networks.

Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III

CoRR, 2023

Auditing Predictive Models for Intersectional Biases.

Kate S. Boxer, Edward McFowland III, Daniel B. Neill

CoRR, 2023

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness.

Neil Menghani, Edward McFowland III, Daniel B. Neill

CoRR, 2023

Provable Detection of Propagating Sampling Bias in Prediction Models.

Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Nonparametric Subset Scanning for Detection of Heteroscedasticity.

Charles R. Doss, Edward McFowland

J. Comput. Graph. Stat., July, 2022

Pattern detection in the activation space for identifying synthesized content.

Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam

Pattern Recognit. Lett., 2022

2021

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects.

Edward McFowland III, Sandeep Gangarapu, Ravi Bapna, Tianshu Sun

MIS Q., December, 2021

2020

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem.

Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius

CoRR, 2020

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error.

Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Disease Surveillance: Case Study.

Skyler Speakman, Sriram Somanchi, Edward McFowland III, Daniel B. Neill

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Subset Scanning Over Neural Network Activations.

Skyler Speakman, Srihari Sridharan, Sekou L. Remy, Komminist Weldemariam, Edward McFowland

CoRR, 2018

Automated Local Regression Discontinuity Design Discovery.

William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data.

William Herlands, Edward McFowland, Andrew Gordon Wilson, Daniel B. Neill

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Controlling for Latent Homophily in Social Networks through Inferring Latent Locations.

Cosma Rohilla Shalizi, Edward McFowland III

CoRR, 2016

2014

Disease Surveillance, Case Study.

Skyler Speakman, Sriram Somanchi, Edward McFowland, Daniel B. Neill

Encyclopedia of Social Network Analysis and Mining, 2014

2013

Fast generalized subset scan for anomalous pattern detection.

Edward McFowland, Skyler Speakman, Daniel B. Neill

J. Mach. Learn. Res., 2013