Approximate Inference Professors in Global

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Yian Ma
University of California, San Diego United States of America
bayesian inference algorithms
scalable inference methods
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
predictive modeling
algorithmic decision-making
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Aditya Potukuchi
York University Canada
algorithmic sampling
algorithmic counting
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Martin Bøgsted
Aalborg University Denmark
predictive modeling
applied probability
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Mei Wang
University of Chicago United States of America
quantum statistical inference
probabilistic models
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Thomas Icard
Stanford University United States of America
causal inference
probabilistic reasoning
automated reasoning
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Tim French
University of Western Australia Australia
probabilistic reasoning
automated reasoning
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David Poole
University of British Columbia Canada
probabilistic reasoning
automated reasoning
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Samir Maity
Aalborg University Denmark
predictive modeling
imprecise modeling
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Nikolay Malkin
University of Edinburgh United Kingdom
probabilistic reasoning
machine reasoning
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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Mark Winands
Maastricht University Netherlands
adaptive algorithms
machine reasoning
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Kalinda Ukanwa
University of Southern California United States of America
algorithmic decision-making
algorithmic bias
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Bing Li
Pennsylvania State University United States of America
semiparametric estimation
estimating equations
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Tobias Blanke
University of Amsterdam Netherlands
predictive policing
algorithmic bias
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Dasha Pruss
Harvard University United States of America
predictive policing
algorithmic bias
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Holger Hoos
RWTH Aachen University Germany
automated reasoning
automated machine learning
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Robert Boyer
University of Texas at Austin United States of America
automated reasoning
automated theorem proving
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Krzysztof Latuszynski
University of Warwick United Kingdom
exact inference
applied probability
probabilistic algorithms
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Mihai Sirbu
University of Texas at Austin United States of America
applied probability
stochastic analysis
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Daniel Lacker
Columbia University United States of America
applied probability
stochastic analysis
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