Machine Learning | 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

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

Princeton University
BSE in Electrical Engineering

Advisor: Daniel Neill

Research Interests: Predictive modeling, machine-aided medical diagnosis, robotics, swarm systems, cybersecurity

Machine Learning & Public Policy Joint PhD Program

Carnegie Mellon University
BS in Computer Science

Advisors: Drew Bagnell & Martial Hebert

University College Dublin
B.E. in Electronic Engineering

Advisor: Stephen Smith

Research Interests: Optimization, Algorithmic Game Theory, Bayesian modelling

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.

Indian Institute of Technology Madras, Chennai
MS in Computer Science and Engineering

Advisor: Leman Akoglu

Research Interests: Data Mining, Anomaly Detection, Medical and Social Science Applications

Machine Learning & Public Policy Joint PhD Program

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.

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

Advisor: Zachary Lipton

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: 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.

Peking University
MS in Intelligence Science and Technology

Advisor: Nina Balcan

Research Interests: Machine Learning Theory, Information Theory, Non-Convex/Convex Optimization, and Statistics.

University of Waterloo
MM in Computer Science

Advisor: Geoff Gordon

Research Interests: Tractable probabilistic inferences in graphical models

McGill University, B.S. in Computer Science

Advisor: Manuela Veloso

Research Interests: learning from time series data, statistical machine learning, spectral learning.