Machine Learning | Carnegie Mellon University

University of Toronto
MS in Computer Science

Advisor: David Held

Research Interests: MCMC inference, deep learning, computer vision

Carnegie Mellon University
BS in Computer Science

Advisor: Zico Kolter

Research Interests: Deep Learning & Optimization

Universidad de los Andes
BS in Systems & Computing Engineering

Advisor: Ameet Talwalkar

Research Interests: Computer Vision

Princeton University
B.S.E in Computer Science

Advisor:

Research Interests: Machine Learning and Optimization

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

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

Massachusetts Institute of Technology
BS in Mathematics

Advisor: Ruslan Salakhutdinov

Research Interests: RL, unsupervised learning, robotics, safety, bayesian modeling

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

Indian Institute of Technology (IIT), Madras
BTech in Computer Science & Engineering

Advisor: Pradeep Ravikumar

Research Interests: Statistical Machine Learning and Optimization

Instituto Tecnologico Autonomo de Mexico
BS in Applied Mathematics

Advisor: Artur Dubrawski

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.

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

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.

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.

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.

Carnegie Mellon University
B.S. in Computer Science

Advisor: Zico Kolter

Research Interests: Optimization algorithms, human-in-the-loop learning, and sustainability domains

Carnegie Mellon University
MS in Language Technologies

Advisor: Ed Hovy

Research Interests: Machine Learning, Natural Language Processing

Massachusetts Institute of Technology
BS & MEng in EECS

Advisor: Ariel Procaccia

Research Interests: Principled approaches to Machine Learning & Artificial Intelligence

National Taiwan University
BS in Electronic Engineering

Advisor: Pradeep Ravikumar

Research Interests: deep learning algorithms and its application in computer vision, artificial intelligence, and natural language processing. I'm also interested in transfer learning, generative model, and deep reinforcement learning.

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