Machine Learning Department

King Abdullah University for Science and Technology
MS in Computer Science

Advisor: Eric Xing

Research Interests: Statistical learning theory, learning representations, semi-supervised and transfer learning.

University of Thessaly at Volos
BS in Electrical & Computer Engineering

Advisor: Artur Dubrawski

Research Interests: Pattern mining, Statistical Machine Learning

Universidad de los Andes
BS in Systems & Computing Engineering

Advisor:

Research Interests: Computer Vision

Carnegie Mellon University
B.S. in Electrical and Computer Engineering

Advisor: Byron Yu

Research Interests: Machine Learning and statistical techniques for the analysis and visualization of high-dimensional neural data

Technische Universitaet Darmstadt
M.S. in Computer Science

Advisor: Emma Brunskill

Research Interests: Sequential decision making under uncertainty; AI; computer vision; statistical machine learning; optimization

Victoria University, New Zealand
MS in Engineering & Computer Science

Advisor: Geoff Gordon

Research Interests: Machine Learning, Algorithms, Neural Networks

Indian Institute of Technology (IIT), Bombay, Mumbai India
MS in Technology, Computer Science & Engineering

Advisor: Eric Xing

Research Interests: Non-parametric and semi-supervised learning in probabilistic graphical models

Carnegie Mellon University
MS in Computer Science

Advisor: Daniel Neill

Research Interests: Forecasting and prediction in spatiotemporal data for urban analytics, natural resource management, and conservation ecology.

Machine Learning & Public Policy Joint PhD Program

Instituto Tecnologico Autonomo de Mexico
BS in Applied Mathematics

Advisor:

Research Interests: Optimization and Statistical Learning Theory

University of Texas at Austin
BS in Pure Mathematics

Advisors: Byron Yu & Steve Chase

Research Interests: Computational neuroscience, statistical machine learning

Neural Computation & Machine Learning Joint PhD program.

Stanford University
MS in Computer Science
BS in Mathematics

Advisor: Christos Faloutsos

Research Interests: High-dimensional inference, Network analysis, Biomedical and social science applications

Beijing University
B.S. in Computer Science

Research Interests: Deep learning, Bayesian methods, large-scale machine learning, natural language process, computer vision

Advisor: Eric Xing

Seoul National University
BA in Mathematics

Advisors: Larry Wasserman & Alessandro Rinaldo

Research Interests: Topological Data Analysis, Data mining, Statistical Learning.

Statistics & Machine Learning Joint PhD Program

University of New Mexico
BS in Pure Mathematics

Advisors: Rob Kass & Valerie Ventura

Research Interests: neural networks, synchronization phenomena, clustering, network analysis, and applications of statistics and machine learning to social and biological problems.

Princeton University, A.B. in Mathematics

Advisor: Eric Xing

Research Interests: Deep reinforcement learning, NLP, computer vision, statistics

National Taiwan University
M.S. in Computer Science

Advisor: Jeff Schneider

Research Interests: Bridging machine learning theories and applications, Optimization, Data mining

Bryn Mawr College
BA in Computer Science

Advisor:

Research Interests: Artificial Intelligence; Statistical Machine Learning; Reinforcement Learning; Fairness, Accountability and Transparency in Machine Learning.

Stanford University
MS & BS in Computer Science

Advisor: Eric Xing

Research Interests: Probabilistic Graphical Models, Computational Biology

University of Michigan, Ann Arbor
BSE in Computer Science Engineering

Advisor: Seyoung Kim

Instituto Superior Tecnico, Portugal
MS in Electrical and Computer Engineering

Advisor: Geoff Gordon

Research Interests: Statistical Machine Learning, Optimization, Natural Language Processing

Indian Institute of Technology, New Delhi
B.Tech. in Computer Science and Engineering

Advisor: Ariel Procaccia

Research Interests: Machine Learning, Computational Social Choice, Artificial Intelligence

Indian Institute of Technology Kharagpur,
BS & MS in Computer Science and Engineering

Advisor:

Research Interests: Statistical and theoretical machine learning

University of Toronto
MASc in Electrical & Computer Engineering
MS in Statistics

Advisor:

Research Interests: Statistical Machine Learning, Information Theory, Optimization

Statistics & Machine Learning Joint PhD Program

University of Wisconsin, Madison
BS in Computer Science

Advisor:

Research Interests: Theoretical Machine Learning, Deep Learning

Princeton University
BSE in Electrical Engineering

Advisor: Tom Mitchell

Research Interests: applying machine learning techniques to neuroimaging data to discover the processes underlying language comprehension.

Neural Computation & Machine Learning Joint PhD program.

IIT Kanpur
B.Tech. in Computer Science and Engineering

Advisor: Eric Xing

Research Interests: Statistical Learning, Structure Prediction, Natural Language Processing and (Social) Network Analysis.

Princeton University
B.S.E. in Computer Science

Advisor: Tom Mitchell

Research Interests: Scalable machine learning, AI, algorithms, Bayesian statistical methods, natural language processing.

Korea Advanced Institute of Science and Technology, M.S. in Electrical Engineering
Ewha Womans University, B.S.E. in Environmental Science & Engineering

Advisor: Christos Faloutsos

Research Interests: Machine learning, neural networks, unsupervised learning

University of British Columbia
MS in Statistics

Advisor: Cosma Shalizi

Research Interests: Bayesian nonparametric statistics, Network modelling, Monte Carlo methods.

Statistics & Machine Learning Joint PhD Program

University of Cambridge
M.Ph. in Advanced Computer Science

Advisors: Tom Mitchell & Barnabas Poczos

Research Interests: Machine Learning and Computer Vision, particularly biomedical applications.

Yale University
B.S. in Computer Science, Cognitive Science

Advisor: Tom Mitchell

Research Interests: Computational Cognitive Science, Graphical Models, High-dimensional Timeseries

Neural Computation & Machine Learning Joint PhD program.

National Taiwan University
B.S.E in Electrical Engineering

Advisor: Ruslan Salakhutdinov

Research Interests: Deep Learning, Computer Vision and Natural Language Processing.

Vanderbilt University
B.S.E. in Electrical Engineering and Biomedical Engineering

Advisor: Byron Yu & Matthew Smith (University of Pittsburgh)

Research Interests:Latent variable models, dynamical systems, visual neuroscience, computational neuroscience

Neural Computation & Machine Learning Joint PhD program.

Tsinghua University
B.E. in Computer Science & Technology

Advisor: Aarti Singh

Research Interests: Statistical machine learning and natural language processing.

Brigham Young University
BS in Electrical Engineering

Advisors: Byron Yu & Matthew Smith (Univ. of Pittsburgh, Ophthalmology)

Research Interests: Brain computer interfaces, dimensionality reduction, mechanisms of attention in the primate visual system

Neural Computation & Machine Learning Joint PhD program.

University of Alberta, M.S. in Computing Science
Shanghai Jiao Tong University, B.S. in Computer Science

Advisor: Aarti Singh

Research Interests: Sequential decision making, large scale and complex modelling, learning theory.

Carnegie Mellon University
MS in Language Technologies

Advisor: Eric Xing

Research Interests: latent variable models and distributed machine learning

Carnegie Mellon University
B.S. in Mathematical Sciences

Advisor: William Cohen

National Taiwan University
MS in Computer Science

Advisor: Pradeep Ravikumar

Research Interests: Scalable Machine Learning, Continuous Optimization, and applications to NLP, Vision, Bioinformatics etc.

Indian Institute of Technology, Guwahati
BTech in Electronics and Communication Engineering

Advisor: Barnabas Poczos & Ruslan Salakhutdinov

Research Interests: Scalable Machine Learning, Bayesian Non-parametrics, Topic Modelling.

Carnegie Mellon University, MS in Machine Learning
National University of Singapore, BS in Computational Biology

Advisors: John Anderson, Rob Kass

Research Interests: Neuroimaging analysis, Computational modeling of human cognition, Bayesian methods

Neural Computation & Machine Learning Joint PhD program.

Carnegie Mellon University, M.S. in Machine Learning
Beihang University, B.E. in Software Engineering

Advisor: Pradeep Ravikumar & Eric Xing

Research Interests: Bayesian inference and optimization.