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Automated Inference Methods
Automated Inference Methods Professors in Global
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Professor
Shiva Tavallaey
KTH Royal Institute of Technology
Sweden
data-driven methods
model-based methods
machine learning
artificial intelligence
probabilistic analysis
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Professor
Rajesh Ranganath
New York University
United States of America
statistical inference
probabilistic inference
causal inference
machine learning
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Professor
Jordan Awan
Purdue University
United States of America
statistical inference
simulation-based inference
computational methods
machine learning
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Professor
Moez Ali
Queen's University
Canada
automated machine learning
automated modeling
machine learning
artificial intelligence
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Professor
Holger Hoos
RWTH Aachen University
Germany
automated machine learning
automated reasoning
machine learning
artificial intelligence
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Professor
Abhishek Chakrabortty
Texas A&M University
United States of America
statistical inference
causal inference
bayesian inference
machine learning
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Professor
Eli Ben-michael
Carnegie Mellon University
United States of America
causal inference
computational methods
statistical methods
machine learning
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Professor
Vijay Ganesh
Georgia Institute of Technology
United States of America
automated reasoning
automated scientific discovery
machine learning
artificial intelligence
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Professor
Daniel Malinsky
Columbia University
United States of America
causal inference
semiparametric inference
statistical methods
machine learning
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Professor
Ewen Harrison
University of Edinburgh
United Kingdom
statistical methods
machine learning
artificial intelligence
predictive modeling
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Professor
John Doe
Maastricht University
Netherlands
machine learning
automated systems
predictive analytics
artificial intelligence
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Professor
Hina Shaheen
University of Manitoba
Canada
bayesian inference
machine learning
artificial intelligence
statistical machine learning
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Professor
Kuldeep Meel
Georgia Institute of Technology
United States of America
statistical inference
automated reasoning
randomized algorithms
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Professor
Johann Laux
University of Oxford
United Kingdom
automated decision-making
inferential analytics
artificial intelligence
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Professor
Dae Ham
University of Michigan
United States of America
randomization inference
adaptive sequential inference
causal inference
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Professor
Mohammad Anam Khan
University of Toronto
Canada
statistical inference
causal inference
machine learning
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Professor
Victor Veitch
University of Chicago
United States of America
statistical inference
causal inference
machine learning
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Professor
A.c.c. Coolen
Radboud University
Netherlands
statistical inference
predictive analysis
machine learning
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Professor
Niki Kilbertus
Technical University of Munich
Germany
automated decision-making
causal inference
machine learning
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Professor
Ying Jin
University of Pennsylvania
United States of America
selective inference
causal inference
distribution-free inference
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Professor
Linus Ericsson
University of Glasgow
United Kingdom
automated machine learning
machine learning
artificial intelligence
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