Edward H. Kennedy
Scholar

Edward H. Kennedy

Google Scholar ID: dXztgDYAAAAJ
Associate Professor of Statistics & Data Science, Carnegie Mellon University
causal inferencenonparametricsmachine learninghealth & public policy
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Citations & Impact
All-time
Citations
5,492
 
H-index
31
 
i10-index
77
 
Publications
20
 
Co-authors
61
list available
Contact
No contact links provided.
Publications
17 items
On the Equivalence between Neyman Orthogonality and Pathwise Differentiability
2026
Cited
0
Causal Inference with High-Dimensional Treatments
2026
Cited
0
Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
2026
Cited
0
Sensitivity analysis for incremental effects, with application to a study of victimization&offending
2026
Cited
0
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
2025
Cited
0
Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
2025
Cited
0
Learning Smooth Populations of Parameters with Trial Heterogeneity
2025
Cited
0
Discussion of"Causal and counterfactual views of missing data models"by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser,&James M. Robins
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Published 'Deep Learning-based Sentiment Analysis Techniques' at ICML (International Conference on Machine Learning)
  • - Received a grant from the National Natural Science Foundation of China
  • - Holds two patents
Research Experience
  • - Senior Researcher at XX Company, 2020-Present
  • - Research Assistant at YY Lab, involved in several national-level research projects, 2018-2020
Education
  • - Ph.D., Department of Computer Science, XX University, 2015-2020, Advisor: Prof. Zhang San
  • - M.S., Information Technology, YY Institute, 2013-2015
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Specialization: Computer Science
  • - Introduction: Dedicated to developing more intelligent and adaptive learning systems.
Miscellany
  • - Enjoys reading science fiction novels in his spare time
  • - Has a strong interest in photography
Co-authors
61 total
Co-author 1
Co-author 1
Larry Wasserman
Larry Wasserman
Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University
Dylan Small
Dylan Small
Professor of Statistics, University of Pennsylvania
Co-author 4
Co-author 4
Matteo Bonvini
Matteo Bonvini
Rutgers University
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Amanda Coston
Amanda Coston
Microsoft