Machine Learning | Carnegie Mellon University

University of Southern California
BS in Computer Science

Advisors: Zico Kolter & Ryan Tibshirani

Research Interests: Optimization, Statistics, Applications

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

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

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:

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

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

Advisor:

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.

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
M.S. in Machine Learning, B.S. in Computer Science

Advisor:

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:

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

IIT, Kanpur
MTech in Computer Science & Engineering

Advisor: Tom Mitchell

Research Interests: Statistical learning, General AI, Structure prediction, Language

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.

West Virginia University
M.S. & B.S. in Electrical Engineering

Advisor:

Research Interests: Artificial Intelligence, Reinforcement Learning, Unsupervised Learning, Causal Inferencing, Active Learning

National Taiwan University
BS in Computer Science

Advisor: Zico Kolter

Research Interests: Optimization Algorithms & Convergence Theory for Machine Learning

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: Eric Xing

Research Interests: latent variable models and distributed machine learning

Tsinghua University
B.Eng. in Computer Science

Advisor: Artur Dubrawski

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.

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.

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

Advisor:

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