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

University of Moratuwa, Sri Lanka
B. Sc Eng in Electronic & Telecommunication Engineering

Advisors: Jeff Schneider & Barnabas Poczos

Research Interests: In the intersection of algorithmic, statistical and theoretical Machine Learning.

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.

University of Washington
B.S. in Computer Science

Advisor: Artur Dubrawski

Research Interests: Big data, learning theory, NLP, and game theory.

Caltech
BA.Sc. in Applied Math

Advisor: Ameet Talwalkar

Research Interests: AutoML, hyperparameter optimization, neural architecture search, deep learning, reinforcement learning

Carnegie Mellon University
M.S. in Machine Learning, B.S. in Computer Science

Advisors: Louis-Philippe Morency & Ruslan Salakhutdinov

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

Bryn Mawr College
BA in Computer Science

Advisor: Pradeep Ravikumar

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

Washington University, St. Louis
BS in Computing

Advisor: Simon Lucey

Columbia University
BS in Applied Mathematics

Advisor: Eric Xing

Research Interests: Statistical Machine Learning, computer vision, signal processing, Bayesian methods, and analysis of networks.

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

Washington State University
B. S. in Electrical Engineering

Advisors: Rob Kass & Andrew Schwartz (CNBC, Pitt)

Research Interests: Neural Data Analysis, Dynamic Network models, Multi-brain area interactions, Statistical models of Motor Cortex.

Neural Computation & Machine Learning Joint PhD program.

University of Toronto
BS in Computer Science

Advisor: Ruslan Salakhutdinov

Research Interests: Deep Reinforcement Learning, Generative Models, and Multitask and Transfer Learning in the RL setting. In particular, I am currently interested in more sophisticated memory systems for deep reinforcement learning agents that can allow them to operate in rich 3D environments.

Imperial College London
ME in Electrical & Electronic Engineering

Advisor: Tom Mitchell

Indian Institute of Technology, Delhi
B.Tech in Electrical Engineering

Advisor: Pradeep Ravikumar

Research Interests: High Dimensional Statistics, Optimization,  Ranking and Quantitative Trading

Carnegie Mellon University
BS in Computer Science, Statistics & Machine Learning

Advisor: Pradeep Ravikumar

Research Interests: Statistical machine learning, computational learning theory, graphical models, neural networks

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.

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