Cluster Robust Inference Professors in Global

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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
causal inference
machine learning
deep generative modeling
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Guohua Yan
University of New Brunswick Canada
cluster analysis
linear clustering
modeling clustered count data
hyperplane clustering
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
bayesian inference
machine learning
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Sara Wade
University of Edinburgh United Kingdom
clustering
variational inference
map inference
machine learning
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Irina Rish
University of Montreal Canada
probabilistic inference
biologically plausible reinforcement learning
machine learning
deep learning
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
computational modelling
machine learning
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
machine learning
deep learning
probabilistic learning
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Ioanna Papatsouma
Imperial College London United Kingdom
robust clustering
constrained clustering
clustering
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Nikos Tzavidis
University of Southampton United Kingdom
outlier robust inference
statistical inference
machine learning
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
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Nema Dean
University of Glasgow United Kingdom
hierarchical clustering
model-based clustering
clustering
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Phebe Vayanos
University of Southern California United States of America
robust optimization
causal inference
machine learning
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Xinran Li
University of Chicago United States of America
randomization-based inference
causal inference
bayesian inference
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Nathan Kallus
Cornell University Netherlands
robust optimization
causal inference
machine learning
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Phebe Vayanos
University of Southern California United States of America
robust optimization
causal inference
machine learning
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Phebe Vayanos
University of Southern California United States of America
robust optimization
causal inference
machine learning
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Yaoliang Yu
University of Waterloo Canada
robust stochastic optimization
robustness
machine learning
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Victor Veitch
University of Chicago United States of America
statistical inference
causal inference
machine learning
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Ashish Dutt
Monash University Australia
mixed data clustering
clustering
machine learning
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Marc Scott
New York University Steinhardt United States of America
model-based clustering
causal inference
categorical sequence analysis
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Bin Yu
University of California, Berkeley United States of America
statistical inference
causal inference
statistical machine learning
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