Cluster Robust Inference Professors in Global

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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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Mikhail Glazunov
Delft University of Technology Netherlands
robustness of deep neural networks
probabilistic modeling
deep learning
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Min Wang
University of New South Wales Australia
computational intelligence
pattern recognition
deep learning
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Justin Beland
University of Toronto Canada
probabilistic modeling
deep learning
machine intelligence
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Ioanna Papatsouma
Imperial College London United Kingdom
robust clustering
constrained clustering
clustering
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust bayesian optimization
distributionally robust optimization
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Flora Salim
University of New South Wales Australia
robust machine learning
trustworthy machine learning
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David Inouye
Purdue University United States of America
robust machine learning
trustworthy machine learning
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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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Nema Dean
University of Glasgow United Kingdom
hierarchical clustering
model-based clustering
clustering
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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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Ki Yum
Texas A&M University United States of America
cluster computing
fault-tolerant computing
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Eun Kim
Texas A&M University United States of America
cluster computing
fault-tolerant computing
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Mårten Wadenbäck
Linköping University Sweden
robust feature matching
machine learning
deep learning
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Carsten Thomsen
University of Copenhagen Denmark
clustering analysis
pattern recognition
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Tengyao Wang
London School of Economics United Kingdom
robust statistical procedures
nonparametric statistical inference
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Kolyan Ray
Imperial College London United Kingdom
causal inference
variational inference
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Efthymios Costa
Imperial College London United Kingdom
clustering algorithms
data robustification
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Rui Pires Da Silva Castro
Eindhoven University of Technology Belgium
network inference
pattern recognition
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Christos Kolympiris
Warwick Business School United Kingdom
causal inference
cluster
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Irina Rish
University of Montreal Canada
probabilistic inference
biologically plausible reinforcement learning
machine learning
deep learning
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