Kamyar Azizzadenesheli

(CS)

Machine Learning,

Reinforcement Learning,

Learning Theory

Chris Clifton

(CS)

Privacy issues in Machine

Learning and Data Mining

Petros Drineas

(CS)

Randomized Linear Algebra,

Matrix Factorizations,

Dimensionality Reduction

David Gleich

(CS)

Large Scale Network,

Matrix Methods

Dan Goldwasser

(CS)

Machine Learning, Natural

Language Processing

Jean Honorio

(CS)

Learning Theory, Optimization,

Game Theory, Graphical Models

Pan Li

(CS)

Machine Learning, Graph Representation Learning

Jennifer Neville

(CS & Statistics)

Data Mining, Machine Learning, Social Networks

Bruno Ribeiro

(CS)

Machine Learning, Graph Representation Learning, Causality & Invariances

Ming Yin

(CS)

Social computing, Crowdsourcing

Yexiang Xue

(CS)

Probabilistic reasoning, Statistical modeling, Decision-making Under Uncertainty