Edward McFowland III
机构: Assistant Professor of Technology and Operations Management
主页: hbs.edu
每年引用次数
引用次数
引用: 753
H-指数: 12
I10-指数 : 12
出版物: 36
TRAD: Task-agnostic Representation of the Activation Space in Deep Neural Networks
Tanya Leah Akumu , Celia Cintas , Girmaw Abebe Tadesse , Adebayo Ayomide Oshingbesan
International Joint Conference on Artificial Intelligence
2023
& Lakhani, KR (2023). Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality
F Dell'Acqua , E McFowland , ER Mollick , H Lifshitz-Assaf
Harvard Business School Technology & Operations Mgt. Unit Working Paper 24 -013
7
Fast subset scan for multivariate spatial biosurveillance
DB Neill , E McFowland III , H Zheng
International Society for Disease Surveillance Conference 2010: Enhancing the Synergy Between Research, Informatics, and Practice in Public Health
3
2011
Penalized Fast Subset Scanning
Skyler Speakman , Sriram Somanchi , Edward McFowland III , Daniel B. Neill
Journal of Computational and Graphical Statistics 25 ( 2) 382 -404
21
2016
Automated Local Regression Discontinuity Design Discovery
William Herlands , Edward McFowland III , Andrew Gordon Wilson , Daniel B. Neill
knowledge discovery and data mining 1512 -1520
13
2018
A prescriptive analytics framework for optimal policy deployment using heterogeneous treatment effects.
Edward McFowland III , Sandeep Gangarapu , Ravi Bapna , Tianshu Sun
MIS Quarterly 45 ( 4)
21
2021
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
INFORMS Journal on Data Science 1 ( 2) 138 -155
8
2022
EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference
Gordon Burtch , Edward McFowland III , Mochen Yang , Gediminas Adomavicius
arXiv preprint arXiv:2303.02820
2023
So, Who likes you? Evidence from a randomized field experiment
Ravi Bapna , Edward McFowland III , Probal Mojumder , Jui Ramaprasad
Management Science 69 ( 7) 3939 -3957
2
2023
Nonparametric Subset Scanning for Detection of Heteroscedasticity
Charles R Doss , Edward McFowland III
Journal of Computational and Graphical Statistics 31 ( 3) 813 -823
1
2022
Multi-armed bandits with inference considerations
Sandeep Gangarapu , Edward McFowland III , Ravi Bapna
1
2020
Efficient Representation of the Activation Space in Deep Neural Networks
Tanya Akumu , Celia Cintas , Girmaw Abebe Tadesse , Adebayo Oshingbesan
arXiv preprint arXiv:2312.08143
2023
Estimating causal peer influence in homophilous social networks by inferring latent locations
Edward McFowland III , Cosma Rohilla Shalizi
Journal of the American Statistical Association 118 ( 541) 707 -718
52
2023
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
Edward McFowland III , Sriram Somanchi , Daniel B Neill
arXiv preprint arXiv:1803.09159
44
2018
Commentary on “Causal decision making and causal effect estimation are not the same… and why it matters”
Edward McFowland III
INFORMS Journal on Data Science 1 ( 1) 21 -22
4
2022
Provable detection of propagating sampling bias in prediction models
Pavan Ravishankar , Qingyu Mo , Edward McFowland III , Daniel B Neill
Proceedings of the AAAI Conference on Artificial Intelligence 37 ( 8) 9562 -9569
2
2023
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
Edward McFowland III , Sriram Somanchi , Daniel B Neill
arXiv. org Papers ( 1803.09159)
1
2023
Anomalous Pattern Detection in Activations and Reconstruction Error of Autoencoders
Celia Cintas , Skyler Speakman , Victor Akinwande , Srihari Sridharan
1
2020
Subset scanning for multi-trait analysis using GWAS summary statistics
Rui Cao , Evan Olawsky , Edward McFowland III , Erin Marcotte
Bioinformatics 40 ( 1) btad777 -btad777
2024
Auditing Predictive Models for Intersectional Biases
Kate S Boxer , Edward McFowland III , Daniel B Neill
arXiv preprint arXiv:2306.13064
2023