Network Causal Inference Professors in Global

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Dae Ham
University of Michigan United States of America
causal inference
design-based causal inference
randomization inference
adaptive sequential inference
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Rajesh Ranganath
New York University United States of America
causal inference
probabilistic inference
statistical inference
machine learning
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Abhishek Chakrabortty
Texas A&M University United States of America
causal inference
statistical inference
bayesian inference
machine learning
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Daniel Malinsky
Columbia University United States of America
causal inference
semiparametric inference
causal discovery
machine learning
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Devavrat Shah
Massachusetts Institute of Technology United States of America
statistical inference
network information theory
network algorithms
stochastic networks
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A.c.c. Coolen
Radboud University Netherlands
statistical inference
neural networks
random networks
machine learning
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Luke Miller
Radboud University Netherlands
neural network modeling
neural computations
computational modeling
machine learning
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Konstantin Zuev
California Institute of Technology United States of America
network models
complex networks
network resilience
network science
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Konstantin Zuev
California Institute of Technology United States of America
network models
complex networks
network resilience
network science
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Oliver Ray
University of Bristol United Kingdom
scientific inference
inductive reasoning
machine learning
abductive reasoning
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Anish Agarwal
Columbia University United States of America
causal inference
causal machine learning
machine learning
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Xinran Li
University of Chicago United States of America
causal inference
randomization-based inference
bayesian inference
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Mohammad Anam Khan
University of Toronto Canada
causal inference
statistical inference
machine learning
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Victor Veitch
University of Chicago United States of America
causal inference
statistical inference
machine learning
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Nabarun Deb
University of Chicago United States of America
causal inference
nonparametric inference
network models
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Biwei Huang
University of California, San Diego United States of America
causal inference
automated causal discovery
machine learning
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Chris Gu
Georgia Institute of Technology United States of America
causal inference
network analysis
machine learning
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Wen Zhou
New York University United States of America
causal inference
network data analysis
machine learning
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Huimin Cheng
Boston University United States of America
causal inference
statistical network analysis
machine learning
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Yonghan Jung
University of Illinois United States of America
causal inference
causal data science
machine learning
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Tansu Celikel
Georgia Institute of Technology United States of America
causal inference
network models
computational modeling
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