Inference Algorithms Professors in Global

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Mark Winands
Maastricht University Netherlands
adaptive algorithms
machine reasoning
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Anastasios Magdalinos
University of Southampton United Kingdom
robust inference
predictive regressions
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Ton Dieker
Columbia University United States of America
computer simulation algorithms
predictive modeling
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David Kempe
University of Southern California United States of America
algorithm analysis
algorithmic learning
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Eric Sobel
University of California Los Angeles United States of America
algorithm optimization
gene-mapping algorithms
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Wiktor Młynarski
Ludwig Maximilian University of Munich Germany
neural computations
probabilistic machine learning
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Jaime Ide
Yale University United States of America
machine learning
predictive modeling
pattern recognition
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Guang Lin
Purdue University United States of America
predictive modeling
statistical machine learning
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Syed Ahmed
Brock University Canada
predictive modeling
statistical machine learning
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Guang Lin
Purdue University United States of America
predictive modeling
statistical machine learning
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Syed Ahmed
Brock University Canada
predictive modeling
statistical machine learning
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Hyunyoung Lee
Texas A&M University United States of America
spatiotemporal algorithms
distributed algorithms
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Susanne Albers
Technical University of Munich Germany
efficient algorithms
online approximation algorithms
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Mei Wang
University of Chicago United States of America
algorithms
quantum statistical inference
probabilistic models
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Mingyuan Zhou
University of Texas at Austin United States of America
approximate inference
probabilistic machine learning
deep neural networks
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
string algorithms
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Scott Schmidler
Duke University Singapore
probabilistic machine learning
high-dimensional sampling algorithms
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Mi Park
University of British Columbia Canada
theoretical machine learning
statistical machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
theoretical machine learning
statistical machine learning
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Jethro Linley
University of Glasgow United Kingdom
predictive analytics
statistical machine learning
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Aditya Potukuchi
York University Canada
algorithms
algorithmic counting
algorithmic sampling
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