Inference Learning Theory Professors in Global

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Oliver Ray
University of Bristol United Kingdom
scientific inference
inductive reasoning
machine learning
abductive reasoning
inductive logic programming
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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
causal inference
machine learning
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
bayesian inference
causal inference
machine learning
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Thang Bui
Australian National University Australia
inference
reinforcement learning
machine learning
probabilistic modeling
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Daniel Roy
University of Toronto Canada
No active positions
statistical learning theory
decision theory
machine learning
deep learning
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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
inverse reinforcement learning
machine learning
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Shalmali Joshi
Columbia University United States of America
causal inference
reinforcement learning
machine learning
deep learning
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Wendelin Böhmer
Delft University of Technology Netherlands
inductive reasoning
reinforcement learning
machine learning
deductive reasoning
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Nihar Shah
Carnegie Mellon University United States of America
information theory
statistical learning
machine learning
game theory
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Jason Lee
University of California, Berkeley United States of America
reinforcement learning
machine learning
representation learning
deep learning
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Jason Lee
University of California, Berkeley United States of America
reinforcement learning
machine learning
representation learning
deep learning
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Jiaming Xu
Duke University Singapore
information theory
machine learning
high-dimensional statistical inference
game theory
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Sriram Subramanian
Carleton University Canada
reinforcement learning
machine learning
game theory
deep learning
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Jessica Lee
University of Sydney Australia
inductive reasoning
rule learning
associative learning
causal learning
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Marc Gendron-bellemare
University of Montreal Canada
information theory
reinforcement learning
deep learning
probabilistic prediction
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
deep reinforcement learning
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Pascal Vincent
University of Montreal Canada
machine learning
representation learning
deep learning
pattern recognition
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Rui Pires Da Silva Castro
Eindhoven University of Technology Belgium
learning theory
network inference
pattern recognition
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Morgane Austern
Harvard University United States of America
statistical inference
machine learning theory
probability theory
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
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Xinran Li
University of Chicago United States of America
bayesian inference
causal inference
randomization-based inference
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