Edward McFowland III
Edward McFowland III
Assistant Professor of Technology and Operations Management
Verified email at - Homepage
Cited by
Cited by
Fast generalized subset scan for anomalous pattern detection
E McFowland III, S Speakman, DB Neill
Journal of Machine Learning Research 14, 1533-1561, 2013
Fast subset scan for multivariate event detection
DB Neill, E McFowland III, H Zheng
Statistics in medicine 32 (13), 2185-2208, 2013
Scalable detection of anomalous patterns with connectivity constraints
S Speakman, E McFowland III, DB Neill
Journal of Computational and Graphical Statistics 24 (4), 1014-1033, 2015
Estimating causal peer influence in homophilous social networks by inferring latent locations
E McFowland III, CR Shalizi
Journal of the American Statistical Association 118 (541), 707-718, 2023
Penalized fast subset scanning
S Speakman, S Somanchi, E McFowland III, DB Neill
Journal of Computational and Graphical Statistics 25 (2), 382-404, 2016
Efficient discovery of heterogeneous treatment effects in randomized experiments via anomalous pattern detection
E McFowland, S Somanchi, D Neill
Available at SSRN 3155352, 2018
A prescriptive analytics framework for optimal policy deployment using heterogeneous treatment effects.
E McFowland III, S Gangarapu, R Bapna, T Sun
MIS Quarterly 45 (4), 2021
Detecting adversarial attacks via subset scanning of autoencoder activations and reconstruction error
C Cintas, S Speakman, V Akinwande, W Ogallo, K Weldemariam, ...
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Gaussian process subset scanning for anomalous pattern detection in non-iid data
W Herlands, E McFowland, A Wilson, D Neill
International Conference on Artificial Intelligence and Statistics, 425-434, 2018
Automated local regression discontinuity design discovery
W Herlands, E McFowland III, AG Wilson, DB Neill
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
Subset scanning over neural network activations
S Speakman, S Sridharan, S Remy, K Weldemariam, E McFowland
arXiv preprint arXiv:1810.08676, 2018
Achieving reliable causal inference with data-mined variables: A random forest approach to the measurement error problem
M Yang, E McFowland III, G Burtch, G Adomavicius
INFORMS Journal on Data Science 1 (2), 138-155, 2022
Pattern detection in the activation space for identifying synthesized content
C Cintas, S Speakman, GA Tadesse, V Akinwande, E McFowland III, ...
Pattern Recognition Letters 153, 207-213, 2022
Fast subset scan for multivariate spatial biosurveillance
DB Neill, E McFowland III, H Zheng
International Society for Disease Surveillance Conference 2010: Enhancing …, 2011
Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same… and Why It Matters”
E McFowland III
INFORMS Journal on Data Science 1 (1), 21-22, 2022
So, Who likes you? Evidence from a randomized field experiment
R Bapna, E McFowland III, P Mojumder, J Ramaprasad, A Umyarov
Management Science 69 (7), 3939-3957, 2023
Provable detection of propagating sampling bias in prediction models
P Ravishankar, Q Mo, E McFowland III, DB Neill
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9562-9569, 2023
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
E McFowland, S Somanchi, DB Neill
arXiv. org, 2023
Nonparametric Subset Scanning for Detection of Heteroscedasticity
CR Doss, E McFowland III
Journal of Computational and Graphical Statistics 31 (3), 813-823, 2022
Multi-armed bandits with inference considerations
S Gangarapu, E McFowland III, R Bapna
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