Machine Learning | Carnegie Mellon University

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

Morehead State University
BS in Computer Science

Advisor: Zack Lipton

Research Interests:ML on graph and molecule data, transfer learning and metalearning, reinforcement learning, search and optimization.

Dalhousie University, MA in International Development Studies
University of Waterloo, BA.Sc. in Systems Design Engineering

Advisor: Noah Smith

University of Colorado Boulder
BS in Computer Science & BS/MS in Applied Math

Advisor: Jeff Schneider

Research Interests: AI, graphical probabilistic models, statistical machine learning, and reinforcement learning

Princeton University
BSE in Computer Science

Advisor: Roni Rosenfeld

Research Interests: Machine Learning applied to areas of social impact, including healthcare, human rights, and criminal justice.

Machine Learning & Public Policy Joint PhD Program

Universidad Nacional de Colombia
BS in Mathematics

Advisor: Artur Dubrawski

Research Interests: Machine Learning, Natural Language Processing and Data Mining applied to Corruption and Fraud Detection, Criminology and Violence Research.

Machine Learning & Public Policy Joint PhD Program

University of California, Berkeley
BS in Electrical Engineering and Computer Science

Advisors: Barnabas Poczos & Aarti Singh

Research Interests: Matrix Factorization, Randomized Algorithms

Carnegie Mellon University, MS in Machine Learning
University of Kansas, BS in Mathematics

Advisors: Larry Wasserman, Rupert Croft, Jessi Cisewski

Research Interests: Data mining, spatio-temporal modeling, statistical machine learning, high-dimensional statistics, applications to cosmology

Statistics & Machine Learning Joint PhD Program

McGill University
BS in Computer Science

Advisor: Jeff Schneider

Research Interests: Deep Learning, Reinforcement Learning, Probabilistic Graphical Models

Indian Institute of Technology, Kanpur
B.Tech, Computer Science and Engineering

Advisor: Aaditya Ramdas

Research Interests: Optimization, Statistics aspects of Learning, Causal Inference

University of California, Berkeley
BA in Pure Mathematics

Advisor: Ruslan Salakhutdinov

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

California Institute of Technology
BS in Computer Science

Advisor: Pradeep Ravikumar

Stanford University, MS in Statistics
KAIST, B.S. in Mathematics & B.S in Electrical Engineering

Advisors: Barnabas Poczos & Edward Kennedy

Research Interests: Causal inference with longitudinal data, Statistical machine learning, Developing novel analytical methods

Statistics & Machine Learning Joint PhD Program

Princeton University, A.B. in Mathematics

Advisors: Ruslan Salakhutdinov & Eric Xing

Research Interests: Deep reinforcement learning, meta-learning, intrinsically motivated learning, hierarchical planning

National Taiwan University
M.S. in Computer Science

Advisor: Barnabas Poczos

Research Interests: Implicit Generative Model.

Carnegie Mellon University, MS in Electrical and Computer Engineering
Beihang University, B.E. in Electronic Information Engineering

Advisors: Max G'Sell & Avniel Ghuman (University of Pittsburgh, Neurological Surgery)

Research Interests: computational and cognitive neuroscience, applied statistics and machine learning, high-dimensional statistics

Neural Computation & Machine Learning Joint PhD program

National Taiwan University
MS in Computer Science and Information Engineering

Advisor: Ziv Bar-Joseph

Research Interests: Computational Biology, Bioinformatics, Cheminformatics and Machine Learning.

University of Washington
BS in Computer Science, Neurobiology

Advisors: Byron Yu & Steve Chase

Research Interests: Brain-Computer Interfacing, Computational Neuroscience,Dimensionality Reduction, Signal Processing

Neural Computation & Machine Learning Joint PhD program.

Georgia Institute of Technology
BS in Computer Engineering

Advisor: Abhinav Gupta

Research Interests: Deep Learning, Computer Vision, Unsupervised and Semi-supervised Learning

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

University of California, San Diego
BS in Electrical & Computer Engineering, Mathematics

Advisor: Aaditya Ramdas

Research Interests: Sequential Analysis, Reinforcement Learning

New Jersey Institute of Technology
MS in Computational Biology

Advisor: Robert Kass

Research Interests: Statistical Machine Learning and Reinforcement Learning

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

Advisors: Barnabas Poczos & Pradeep Ravikumar

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: Ameet Talwalkar

Research Interests: Theoretical Machine Learning, Deep Learning

Indian Institute of Technology, Bombay
B.Tech/M.Tech in Electrical Engineering

Advisors: Nihar Shah, Siva Balakrishnan

Research Interests: Statistical Machine Learning, Learning Theory, Learning from People, Crowdsourcing  

Cornell University
BS in Computer Science

Advisor: Roni Rosenfeld

Research Interests: applied machine learning and computational biology

Indian Institute of Technology, Bombay
BTECH in Computer Science & Engineering

Advisor: Ryan Tibshirani

Research Interests: Machine Learning, Statistics & Optimization.

Karlsruhe Institute of Technology
B.Sc. in Informatics

Advisor: Tuomas Sandholm

Research Interests: Event Detection, Optimization, Internet of Things

Carnegie Mellon University
B.S. & M.S. in Math

Advisor: Barnabas Poczos

Research Interests: Statistical Methods, Information Theory, Topological Data Analysis, Optimization, Neural Data Analysis, Biological Computation

Statistics & Machine Learning Joint PhD Program

Caltech
BS in Applied & Computational Mathematics
BS in Business Economics & Management

Advisor: Cosma Shalizi

Research Interests: Repeated Game Models, Online Learning, Non-Stationary Time Series, Statistical Decision Theory, Algorithmic Game Theory, AI

Statistics & Machine Learning Joint PhD Program

Advisors: Nihar Shah and Aarti Singh

Research Interests: Statistical Learning Theory, Learning form People, Theoretical Machine Learning

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

Advisor: Pradeep Ravikumar

Research Interests: Optimization, High Dimensional Statistics.

University of Maryland
BS in Computer Science

Advisor: Manuela Veloso

Research Interests: Reinforcement Learning, Deep Learning, Sequential decision making

Carnegie Mellon University
MS in Machine Learning

Advisor: Katerina Fragkiadaki & Alex Smola

Research Interests: Spectral Methods, Statistical Modeling & Machine Learning Theory.

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.

Carnegie Mellon University
MS in Machine Learning

Advisor: Zico Kolter

Research Interests: Natural language understanding, representation learning

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.

Tsinghua University
B.Eng. in Computer Science

Advisor: Artur Dubrawski

Carnegie Mellon University
B.S. in Mathematical Sciences

Advisor: William Cohen

Carnegie Mellon University
MS in Language Technologies

Advisors: Jaime Carbonell & Alex Smola

Research Interests: Statistical Machine Learning, Large Scale Optimization

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.

Massachusetts Institute of Technology
B.S. and M.Eng. in Computer Science and Electrical Engineering

Advisor: Eric Xing

Research Interests: deep learning, representation learning, bayesian methods, natural language processing, machine learning for healthcare