Large Scale Simultaneous Inference Professors in Global

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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
deep generative modeling
machine learning
causal inference
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
bayesian inference
machine learning
causal inference
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Hina Shaheen
University of Manitoba Canada
multivariate high dimensional data analysis
statistical machine learning
bayesian inference
machine learning
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Raaz Dwivedi
Cornell University Netherlands
high-dimensional statistics
statistical machine learning
bayesian inference
causal inference
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Tony Cai
University of Pennsylvania United States of America
large-scale inference
high-dimensional statistics
statistical machine learning
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Kun Liang
University of Waterloo Canada
large-scale inference
high-dimensional statistics
machine learning
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Sepehr Assadi
University of Waterloo Canada
massively parallel computation
big data analysis
massive datasets
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Dabao Zhang
Purdue University United States of America
statistical inference
massive data modeling
machine learning
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
multidimensional data analysis
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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Bahar Taskesen
University of Chicago Booth School of Business United States of America
large-scale stochastic optimization
statistical inference
machine learning
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Jordan Awan
Purdue University United States of America
statistical inference
simulation-based inference
machine learning
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Souvik Dhara
Georgia Institute of Technology United States of America
large-scale networks
inference algorithms
high-dimensional probability statistics
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Lei Ying
University of Michigan United States of America
large-scale graph mining
large-scale computing systems
large-scale communication systems
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Jaehee Kim
Cornell University Netherlands
statistical inference
bayesian inference
machine learning
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Xiaowu Dai
University of California Los Angeles United States of America
statistical inference
high-dimensional statistics
causal inference
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Bojana Rosic
University of Twente Netherlands
statistical inference
multiscale analysis
machine learning
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Tatjana Pavlenko
Uppsala University Sweden
statistical inference
large-scale biomedical data
statistical machine learning
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Dae Ham
University of Michigan United States of America
randomization inference
adaptive sequential inference
causal inference
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
machine learning
causal inference
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Victor Veitch
University of Chicago United States of America
statistical inference
machine learning
causal inference
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