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
Publications
19 items
Minimax Rates for Learning Smooth Populations of Parameters
2026
Cited
0
On regression with estimated covariates and conditional effects given the propensity score
2026
Cited
0
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
Resume
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
13 total
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
Matteo Bonvini
Matteo Bonvini
Rutgers University
Amanda Coston
Amanda Coston
Microsoft
Alexandra Chouldechova
Alexandra Chouldechova
Researcher @ MSR NYC FATE
Luke Keele
Luke Keele
University of Pennsylvania
Zach Branson
Zach Branson
Carnegie Mellon University
Alexander W. Levis
Alexander W. Levis
Assistant Professor, Biostatistics, University of Pennsylvania