Approximate Bayesian Inference Professors in Global

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Daniel Malinsky
Columbia University United States of America
causal inference
semiparametric inference
machine learning
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Yixin Wang
University of Michigan United States of America
bayesian statistics
causal inference
probabilistic generative modeling
machine learning
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Guang Cheng
Purdue University United States of America
high dimensional statistical inferences
semi-nonparametric inferences
machine learning
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Larry Wasserman
Carnegie Mellon University United States of America
high dimensional inference
nonparametric inference
machine learning
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Fan Yang
University College London United Kingdom
causal inference
bayesian econometrics
machine learning
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Thang Bui
Australian National University Australia
probabilistic modeling
inference
machine learning
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Thomas Icard
Stanford University United States of America
causal inference
probabilistic reasoning
machine learning
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
causal inference
biostatistical analysis
machine learning
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Samrachana Adhikari
New York University United States of America
causal inference
predictive modeling
machine learning
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Niki Kilbertus
Technical University of Munich Germany
causal inference
automated decision-making
machine learning
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Oliver Ray
University of Bristol United Kingdom
abductive reasoning
scientific inference
machine learning
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Maximilian Kasy
University of Oxford United Kingdom
empirical bayes methods
algorithmic decision making
machine learning
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Christina Lee Yu
Cornell University Netherlands
inference networks
causal inference
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Marie Skov Breum
University of Copenhagen Denmark
causal inference
semiparametric inference
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Pengfei Li
University of Waterloo Canada
empirical likelihood
inference constraints
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Anastasios Magdalinos
University of Southampton United Kingdom
robust inference
predictive regressions
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Uta Noppeney
Radboud University Netherlands
perceptual inference
probabilistic computations
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Ilya Shpitser
Johns Hopkins University United States of America
causal inference
semi-parametric inference
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Ilya Shpitser
Johns Hopkins University United States of America
causal inference
semi-parametric inference
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Song Cai
Carleton University Canada
empirical likelihood
non-semi-parametric inference
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Sonia Jain
University of California, San Diego United States of America
bayesian biostatistics
nonparametric bayesian models
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