Adv.: Peter Bartlett

Machine learning, Markov decision processes, reinforcement learning, bandit optimization, representation learning

Machine learning, Markov decision processes, reinforcement learning, bandit optimization, representation learning

Adv.: Michael I. Jordan

Statistics, Machine Learning, MCMC Methods, Computer Systems

Statistics, Machine Learning, MCMC Methods, Computer Systems

Adv.: Kurt Keutzer

Applying Deep Learning to multi-media applications

Applying Deep Learning to multi-media applications

Adv.: Stuart Russell

Sequential decision-making and reinforcement learning

Sequential decision-making and reinforcement learning

Adv.: Bin Yu

Statistical machine learning, with biological, economic and financial applications

Statistical machine learning, with biological, economic and financial applications

Adv.: Sergey Levine

Reinforcement Learning, Robot Learning, Bayesian Optimization

Reinforcement Learning, Robot Learning, Bayesian Optimization

Adv.: Stuart Russell

Automated planning, temporal planning, probabilistic first-order temporal reasoning

Automated planning, temporal planning, probabilistic first-order temporal reasoning

Adv.: Jitendra Malik, Alyosha Efros

Computer Vision, Machine Learning

Computer Vision, Machine Learning

Adv.: Ken Goldberg

Reinforcement learning, information theory, robotic perception and control

Reinforcement learning, information theory, robotic perception and control

Adv.: Peter Bartlett

Machine learning, online learning, reinforcement learning, bandits algorithms

Machine learning, online learning, reinforcement learning, bandits algorithms

Adv.: Martin Wainwright

Online learning, convex optimization, mathematical signal processing

Online learning, convex optimization, mathematical signal processing

Adv.: Ben Recht

Machine Learning, Dynamical Systems, Networks

Machine Learning, Dynamical Systems, Networks

Adv.: Jack Gallant

Neuroscience of language and music perception, Machine Learning, NLP, image based online user authentication applications

Neuroscience of language and music perception, Machine Learning, NLP, image based online user authentication applications

Adv.: Alyosha Efros

Computer Vision, Machine Learning, Cognitive Science

Computer Vision, Machine Learning, Cognitive Science

Adv.: Tom Griffiths

Computational audition, music cognition, cross-cultural research, machine learning, mathematical psychology

Computational audition, music cognition, cross-cultural research, machine learning, mathematical psychology

Adv.: Laura Waller

Computational imaging, 3D microscopy, cell imaging, imaging in scattering media, spectroscopic imaging

Computational imaging, 3D microscopy, cell imaging, imaging in scattering media, spectroscopic imaging

Adv.: Ben Recht

Active Learning, Machine Learning Systems, Bandit Problems

Active Learning, Machine Learning Systems, Bandit Problems

Adv.: Ben Recht

Computational Imaging, Neuroscience, Biological Signal Acqusition, Machine learning, Compressive Sensing

Computational Imaging, Neuroscience, Biological Signal Acqusition, Machine learning, Compressive Sensing

Adv.: Jitendra Malik, Alyosha Efros

Computer Vision, Machine Learning, Computer Graphics

Computer Vision, Machine Learning, Computer Graphics

Adv.: Michael I. Jordan

High-dimensional Statistics, Machine Learning, Optimization

High-dimensional Statistics, Machine Learning, Optimization

Adv.: Jack Gallant

Neuroscience, functional brain imaging, brain decoding

Neuroscience, functional brain imaging, brain decoding

Adv.: Bin Yu

High dimensional statistical inference, Sparse modeling, Causal inference

High dimensional statistical inference, Sparse modeling, Causal inference

Adv.: Jack Gallant

Machine learning, NLP, computational linguistics, human language production and perception

Machine learning, NLP, computational linguistics, human language production and perception

Adv.: Ken Goldberg

Robotics, optimal control and estimation

Robotics, optimal control and estimation

Adv.: Ken Goldberg

Theoretical Neuroscience Machine Learning

Theoretical Neuroscience Machine Learning

Adv.: Tom Griffiths

Computational linguistics, applied machine learning, artificial intelligence

Computational linguistics, applied machine learning, artificial intelligence

Adv.: Jack Gallant

Neuroscience, machine learning, neural networks, electrophysiology, vision, brain decoding

Neuroscience, machine learning, neural networks, electrophysiology, vision, brain decoding

Adv.: Tom Griffiths

Computational social science, human communication and interaction, research methods

Computational social science, human communication and interaction, research methods

Adv.: Laura Waller

Neuroscience, computational imaging, functional brain imaging, brain-machine interface, optogenetics, task-based microscopy

Neuroscience, computational imaging, functional brain imaging, brain-machine interface, optogenetics, task-based microscopy

Adv.: Ken Goldberg

Robotics, Machine Learning, Manipulation, Topological Data Analysis

Robotics, Machine Learning, Manipulation, Topological Data Analysis

Adv.: Claire Tomlin

Predictive control, optimization, power networks

Predictive control, optimization, power networks

Statistical Machine Learning, Hypothesis Testing, Optimization

Statistical Machine Learning, Hypothesis Testing, Optimization

Adv.: Trevor Darrell

Combining Visual Recognition and Natural Language Understanding

Combining Visual Recognition and Natural Language Understanding

Adv.: Tom Griffiths

Models of human vision, learning, and memory

Models of human vision, learning, and memory

Adv.: Pieter Abbeel

Reinforcement learning,
robot control

Reinforcement learning,
robot control

Adv.: Peter Bartlett

Developing new scalable algorithms for solving machine learning problems as well as proving theorems regarding their performance. In particular, I am interested in the problem of learning from data of variable quality and form.

Developing new scalable algorithms for solving machine learning problems as well as proving theorems regarding their performance. In particular, I am interested in the problem of learning from data of variable quality and form.

Adv.: Jack Gallant

Machine Learning and NLP applied to study the cognitive neuroscience of language

Machine Learning and NLP applied to study the cognitive neuroscience of language

Adv.: Michael I. Jordan

Machine Learning, Scalable Bayes Inference, Theoretical Foundations of High Dimensional Problems

Machine Learning, Scalable Bayes Inference, Theoretical Foundations of High Dimensional Problems

Adv.: Peter Bartlett

High-order graphical models, POMDPs, active learning, numerical optimization

High-order graphical models, POMDPs, active learning, numerical optimization

Adv.: Claire Tomlin

Control, optimization, machine learning, energy efficiency

Control, optimization, machine learning, energy efficiency