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

Statistical machine learning, with biological, economic and financial applications

Statistical machine learning, with biological, economic and financial applications

Adv.: Michael I. Jordan

Probabalistic Machine Learning Methods, Applications of ML in science, Context-appropriate performance metrics, Fairness in ML

Probabalistic Machine Learning Methods, Applications of ML in science, Context-appropriate performance metrics, Fairness in ML

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.: Michael I. Jordan

Machine Learning, Statistics, Optimization

Machine Learning, Statistics, Optimization

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.: Kurt Keutzer

Second order methods, distributed training, and robust optimization

Second order methods, distributed training, and robust optimization

Adv.: Jack Gallant

Neuroscience, language, imagery, brain decoding, machine learning

Neuroscience, language, imagery, brain decoding, machine learning

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.: Sergey Levine, Alyosha Efros

Computer Vision, Machine Learning, Robotics

Computer Vision, Machine Learning, Robotics

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

3D Computer Vision, Computer Graphics

3D Computer Vision, Computer Graphics

Adv.: Jitendra Malik

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

High dimensional statistical inference, Sparse modeling, Causal inference

High dimensional statistical inference, Sparse modeling, Causal inference

Adv.: Dawn Song

Deep learning, security, programming language

Deep learning, security, programming language

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, cognitive science, artificial intelligence

Computational linguistics, cognitive science, 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, distributed computation and optimization algorithms

Predictive control, distributed computation and optimization algorithms

Adv.: Jitendra Malik

Computer Vision, Machine Learning

Computer Vision, Machine Learning

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.: Trevor Darrell

Computer Vision, Computational Linguistics, Deep Learning

Computer Vision, Computational Linguistics, Deep Learning

Adv.: Tom Griffiths

Perception, cognition, and technology

Perception, cognition, and technology

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

Studying the brain basis of language processing using machine learning and NLP

Studying the brain basis of language processing using machine learning and NLP

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.: Trevor Darrell

Computer Vision, Large Scale Visual Dataset, Autonomous Driving

Computer Vision, Large Scale Visual Dataset, Autonomous Driving

Adv.: Claire Tomlin

Control, optimization, machine learning, energy efficiency

Control, optimization, machine learning, energy efficiency

Statistical modeling and data analysis with applications in vision science and computational neuroscience, statistical machine learning

Statistical modeling and data analysis with applications in vision science and computational neuroscience, statistical machine learning

Adv.: Tom Griffiths

Concept learning and categorization

Concept learning and categorization

Adv.: Shankar Sastry

Deep learning, deep reinforcement learning

Deep learning, deep reinforcement learning

Adv.: Shankar Sastry

SLAM, Computer Vision, Machine Learning, Augmented Reality

SLAM, Computer Vision, Machine Learning, Augmented Reality

Adv.: Jitendra Malik

Sensorimotor Control, Computer Vision, Reinforcement Learning, Visual Neuroscience

Sensorimotor Control, Computer Vision, Reinforcement Learning, Visual Neuroscience

Adv.: Claire Tomlin

Control, optimization, machine learning, energy efficiency

Control, optimization, machine learning, energy efficiency

Natural language processing, domain adaptation, machine translation

Natural language processing, domain adaptation, machine translation

Adv.: Bruno Olshausen

Machine Learning, Neuroscience, Computer Vision

Machine Learning, Neuroscience, Computer Vision

Adv.: Dan Klein

Grounded language learning, structured neural models, semantics, planning and reasoning

Grounded language learning, structured neural models, semantics, planning and reasoning

Adv.: Laura Waller

Computational imaging, phase retrieval, light field photography, compressive sensing, 3D imaging, microscopy, optical metrology

Computational imaging, phase retrieval, light field photography, compressive sensing, 3D imaging, microscopy, optical metrology

Adv.: Ruzena Bajcsy

Artificial Intelligence, Personalized Health Care, Medical Tele-monitoring, Privacy

Artificial Intelligence, Personalized Health Care, Medical Tele-monitoring, Privacy

Adv.: Anca Dragan

Human-robot interaction, robotic perception and control

Human-robot interaction, robotic perception and control

Adv.: Claire Tomlin

Control, optimization, machine learning

Control, optimization, machine learning

Applied statistics, causal inference and machine learning

Applied statistics, causal inference and machine learning

Adv.: Kurt Keutzer, Joseph Gonzalez

Time series analysis, Deep Learning, Reinforcement Learning

Time series analysis, Deep Learning, Reinforcement Learning

Adv.: Ruzena Bajcsy

Physical human-robot interaction, robotic perception and control

Physical human-robot interaction, robotic perception and control

Adv.: Anca Dragan, Peter Bartlett

Statistics, Optimization and Machine Learning

Statistics, Optimization and Machine Learning

Statistics, applications to neuroscience, bioinformatics, and the social sciences

Statistics, applications to neuroscience, bioinformatics, and the social sciences

Adv.: Anca Dragan, Trevor Darrell

Computer vision, deep learning, domain adaptation, continuous learning, transfer learning

Computer vision, deep learning, domain adaptation, continuous learning, transfer learning

Adv.: Tom Griffiths

Computational cognitive science, machine learning, human-computer interaction

Computational cognitive science, machine learning, human-computer interaction

Adv.: Michael I. Jordan, Ben Recht

Machine Learning, Optimization, Statistics

Machine Learning, Optimization, Statistics

Adv.: Ron Fearing

Multi-robot low-power mapping and exploration

Multi-robot low-power mapping and exploration

Hierarchical Reinforcement Learning, Program Induction

Hierarchical Reinforcement Learning, Program Induction

Adv.: Claire Tomlin

Cyber-physical systems, mathematical oncology, intelligent stormwater infrastructure

Cyber-physical systems, mathematical oncology, intelligent stormwater infrastructure

Adv.: Peter Bartlett

Statistics, Monte Carlo Methods and Optimization

Statistics, Monte Carlo Methods and Optimization

Adv.: Pieter Abbeel

Deep reinforcement learning, unsupervised learning

Deep reinforcement learning, unsupervised learning

Machine learning, optimization and high dimensional statistics

Machine learning, optimization and high dimensional statistics

Statistical Machine Learning, stability and model selection with applications to neuroscience

Statistical Machine Learning, stability and model selection with applications to neuroscience

Adv.: Laura Waller

Computational imaging, phase retrieval, 3D microscopy, hard X-ray Tomography

Computational imaging, phase retrieval, 3D microscopy, hard X-ray Tomography

Adv.: Dawn Song

Deep learning, security, programming language

Deep learning, security, programming language

Adv.: Michael I. Jordan, Peter Bartlett

I am interested in machine learning (especially spectral graph approaches).

I am interested in machine learning (especially spectral graph approaches).

Adv.: Sergey Levine

Deep Reinforcement Learning, Hierarchical RL, AGI

Deep Reinforcement Learning, Hierarchical RL, AGI

Adv.: Joseph Gonzalez

Low latency serving systems for machine learning

Low latency serving systems for machine learning

Adv.: Ken Goldberg

Robotics, Stochastic Processes, Data Cleaning, Approximate Inference, ML Model Interpretation

Robotics, Stochastic Processes, Data Cleaning, Approximate Inference, ML Model Interpretation

Adv.: Ben Recht

Computational Imaging, Control, Learning

Computational Imaging, Control, Learning

Adv.: Ben Recht

Personalized Health Care, Machine Learning

Personalized Health Care, Machine Learning

Robot learning, perception, transfer and generalization

Robot learning, perception, transfer and generalization

Adv.: Claire Tomlin

Control, optimization, machine learning, energy transition

Control, optimization, machine learning, energy transition

Adv.: Ruzena Bajcsy

Autonomous vehicles, intelligent transportation, driver modeling, human-in-the-loop, learning and control

Autonomous vehicles, intelligent transportation, driver modeling, human-in-the-loop, learning and control

Adv.: Bruno Olshausen

Visual Neuroscience, Machine Learning,

Visual Neuroscience, Machine Learning,

Adv.: Pieter Abbeel

Deep reinforcement learning, AGI

Deep reinforcement learning, AGI

Adv.: Tom Griffiths

Computer vision, computational cognitive science, and education data mining

Computer vision, computational cognitive science, and education data mining

Adv.: Dan Klein

Entity analysis, syntactic parsing, summarization, neural network models for NLP

Entity analysis, syntactic parsing, summarization, neural network models for NLP

Adv.: Martin Wainwright,

Statistical Machine Learning, Optimization and Monte Carlo Methods

Statistical Machine Learning, Optimization and Monte Carlo Methods

Adv.: Laura Waller

Computational imaging, phase retrieval, microscopy, Fourier ptychography

Computational imaging, phase retrieval, microscopy, Fourier ptychography

Adv.: Michael I. Jordan

Mathematical Statistics, Optimization, Theoretical Computer Science

Mathematical Statistics, Optimization, Theoretical Computer Science

Adv.: Dawn Song

Statistical Machine Learning, Reinforcement Learning, Systems

Statistical Machine Learning, Reinforcement Learning, Systems

Adv.: Stuart Russell

Online combined state and parameter estimation, model-based probabilistic inference for intensive care medicine

Online combined state and parameter estimation, model-based probabilistic inference for intensive care medicine

Adv.: Shankar Sastry

Safe learning, Autonomous vehicles, Human-centered robotics

Safe learning, Autonomous vehicles, Human-centered robotics

Adv.: Stuart Russell

Human-compatible AI, reinforcement learning, algorithmic information theory

Human-compatible AI, reinforcement learning, algorithmic information theory

Adv.: Pieter Abbeel, Sergey Levine

Deep reinforcement learning, meta-learning, robotics

Deep reinforcement learning, meta-learning, robotics

Adv.: Pieter Abbeel

Reinforcement learning, robot control

Reinforcement learning, robot control

Adv.: Claire Tomlin

Control, artificial intelligence, machine learning, optimization

Control, artificial intelligence, machine learning, optimization

Adv.: Alexandre Bayen

Network optimization, user response and elasticity to pricing strategies

Network optimization, user response and elasticity to pricing strategies

Adv.: Claire Tomlin

Optimal control, reinforcement learning

Optimal control, reinforcement learning

Adv.: Dan Klein

Natural language processing: semantics and structured prediction

Natural language processing: semantics and structured prediction

Adv.: Dan Klein

Natural language processing: unsupervised methods, parsing, grounded language learning

Natural language processing: unsupervised methods, parsing, grounded language learning

Adv.: Ken Goldberg

Operations Research, Machine Learning, Robotics and Design

Operations Research, Machine Learning, Robotics and Design

Adv.: Tom Griffiths

Computational social science, cognitive science, human-compatible AI

Computational social science, cognitive science, human-compatible AI

Adv.: Michael I. Jordan

Applied Statistics, Bayesian Statistics, Machine Learning, Statistics in Physical Sciences

Applied Statistics, Bayesian Statistics, Machine Learning, Statistics in Physical Sciences

Adv.: Stuart Russell

Human-compatible AI, value learning, bounded optimality

Human-compatible AI, value learning, bounded optimality

Adv.: Trevor Darrell, Tom Griffiths

Machine learning, cognitive science

Machine learning, cognitive science

Adv.: Pieter Abbeel, Sergey Levine

Robotic perception and control, deep reinforcement learning

Robotic perception and control, deep reinforcement learning

Adv.: Jitendra Malik

Computer Vision, Vision for Robotics

Computer Vision, Vision for Robotics

Adv.: Pieter Abbeel

Deep reinforcement learning, robotic perception

Deep reinforcement learning, robotic perception

Adv.: Pieter Abbeel, Stuart Russell

Task and motion planning, human compatible AI

Task and motion planning, human compatible AI

Adv.: Alyosha Efros

HCI, Machine Learning, & Computer Vision

HCI, Machine Learning, & Computer Vision

Adv.: Ruzena Bajcsy

Individualized human modeling, sensing, image processing, exoskeleton and prosthesis control

Individualized human modeling, sensing, image processing, exoskeleton and prosthesis control

Adv.: Pieter Abbeel, Trevor Darrell

Deep learning, computer vision, language and vision

Deep learning, computer vision, language and vision

Adv.: Pieter Abbeel

Safety in control systems, robotics, applying human cognitive processes to robotic algorithms

Safety in control systems, robotics, applying human cognitive processes to robotic algorithms

Adv.: Pieter Abbeel

Artificial intelligence, deep reinforcement learning

Artificial intelligence, deep reinforcement learning

Adv.: Trevor Darrell

Combining Visual Recognition and Natural Language Understanding

Combining Visual Recognition and Natural Language Understanding

Adv.: Claire Tomlin

Control, optimization, machine learning, energy efficiency

Control, optimization, machine learning, energy efficiency

Adv.: Dawn Song

Deep learning, computer vision, natural language, and the intersections thereof

Deep learning, computer vision, natural language, and the intersections thereof

Adv.: Kurt Keutzer

Parallelizing Deep Learning, developing new CNN architectures

Parallelizing Deep Learning, developing new CNN architectures

Adv.: Tom Griffiths

Computational cognitive science, intelligent tutoring systems, machine learning

Computational cognitive science, intelligent tutoring systems, machine learning

Adv.: John Canny

Machine learning toolkits, visualization for deep learning

Machine learning toolkits, visualization for deep learning

Adv.: Michael I. Jordan

Machine Learning, Statistics, Optimization

Machine Learning, Statistics, Optimization

Adv.: Kurt Keutzer

Exploring new optimization techniques for Deep Learning, applying Deep Learning to Go

Exploring new optimization techniques for Deep Learning, applying Deep Learning to Go

Adv.: Pieter Abbeel, Sergey Levine

Reinforcement learning, robotics

Reinforcement learning, robotics

Adv.: Alexandre Bayen

Energy Systems, Civil Systems, Sensors & Signals Interpretation

Energy Systems, Civil Systems, Sensors & Signals Interpretation

Adv.: John Canny

Reinforcement Learning, accountable robotics

Reinforcement Learning, accountable robotics

Adv.: Dan Klein

Natural language processing: structured neural models, grounded language learning

Natural language processing: structured neural models, grounded language learning

Optimization, Bayesian Statistics, Large-scale Machine Learning

Optimization, Bayesian Statistics, Large-scale Machine Learning

Adv.: Ken Goldberg

Scalable Learning, Robust Statistics, Robot Learning

Scalable Learning, Robust Statistics, Robot Learning

Natural language processing, topic models, applications to political science

Natural language processing, topic models, applications to political science

Applied statistics, bioinformatics, sparse modeling

Applied statistics, bioinformatics, sparse modeling

Adv.: Laura Waller, Ren Ng

Computational Imaging, Optimization, Optics, Signal Processing

Computational Imaging, Optimization, Optics, Signal Processing

Adv.: Stuart Russell

Reinforcement learning, statistical inference

Reinforcement learning, statistical inference

Causal Inference, Theoretical Statistics, Machine Learning, Random Forests, Experimental Design

Causal Inference, Theoretical Statistics, Machine Learning, Random Forests, Experimental Design

Adv.: Shankar Sastry

Control, Autonomous vehicles, Human-centered Robotics

Control, Autonomous vehicles, Human-centered Robotics

Adv.: Pieter Abbeel, Ken Goldberg

Deep learning, robotics, manipulation

Deep learning, robotics, manipulation

Adv.: Pieter Abbeel, Sergey Levine

Robotic perception and control

Robotic perception and control

Adv.: Michael I. Jordan

Mathematical Statistics, Random Matrix Theory

Mathematical Statistics, Random Matrix Theory

Adv.: Jitendra Malik

Computer Vision, Machine Learning, Algorithms

Computer Vision, Machine Learning, Algorithms

Adv.: Joseph Gonzalez, Ken Goldberg

Reinforcement Learning, Learning Systems

Reinforcement Learning, Learning Systems

Adv.: Pieter Abbeel, Tom Griffiths

Cognitive Augmentation, Metalevel Reinforcement Learning, Rational Metareasoning, Bounded Optimality

Cognitive Augmentation, Metalevel Reinforcement Learning, Rational Metareasoning, Bounded Optimality

Adv.: Michael I. Jordan, Moritz Hardt

High-dimensional Statistics, Optimization, Machine Learning

High-dimensional Statistics, Optimization, Machine Learning

Adv.: Laura Waller

Computational imaging, phase space reconstruction, mircroscopy, neural network

Computational imaging, phase space reconstruction, mircroscopy, neural network

Adv.: Laura Waller

Computational imaging, holography, microscopy, brain imaging

Computational imaging, holography, microscopy, brain imaging

Adv.: Michael I. Jordan

Machine Learning, Mathematical Statistics, Stochastic Optimization

Machine Learning, Mathematical Statistics, Stochastic Optimization

Adv.: Trevor Darrell

Computer vision, deep learning, domain specific languages, designing systems for computer vision

Computer vision, deep learning, domain specific languages, designing systems for computer vision

Adv.: Ken Goldberg

Machine learning, Cloud Robotics, Statistics

Machine learning, Cloud Robotics, Statistics

Adv.: Trevor Darrell

Computer Vision and Reinforcement Learning

Computer Vision and Reinforcement Learning

Adv.: Peter Bartlett

Optimization, machine learning, and randomized algorithms.

Optimization, machine learning, and randomized algorithms.

Adv.: Michael I. Jordan, Ben Recht

Machine Learning, Statistics, Optimization

Machine Learning, Statistics, Optimization

Adv.: Ken Goldberg

Robotic manipulation, computational geometry

Robotic manipulation, computational geometry

Adv.: Shankar Sastry

Adv.: Pieter Abbeel, Ken Goldberg

Deep Learning, Sensorimotor Robot Control, Virtual Reality, Reinforcement Learning

Deep Learning, Sensorimotor Robot Control, Virtual Reality, Reinforcement Learning

Adv.: Jack Gallant

Neuroscience, fMRI, convolutional neural nets, vision

Neuroscience, fMRI, convolutional neural nets, vision

Adv.: Claire Tomlin

Optimal control, human-robot interaction, stochastic processes, statistical modeling

Optimal control, human-robot interaction, stochastic processes, statistical modeling

Adv.: Shankar Sastry

Visual Odometery, SLAM, Augmented Reality

Visual Odometery, SLAM, Augmented Reality

Adv.: Ren Ng

Computer Graphics, Computational Photography, Machine Learning, Optimization

Computer Graphics, Computational Photography, Machine Learning, Optimization

Adv.: Moritz Hardt

Optimization, Machine Learning, Generative Modeling

Optimization, Machine Learning, Generative Modeling

Adv.: Laura Waller

Computational imaging, signal processing, optimization, inverse problems

Computational imaging, signal processing, optimization, inverse problems

Adv.: Michael I. Jordan

Machine Learning, Optimization, Reinforcement Learning, Computer Systems

Machine Learning, Optimization, Reinforcement Learning, Computer Systems

Adv.: Kurt Keutzer

Developing portable and highly efficient implementations of DNN/CNN

Developing portable and highly efficient implementations of DNN/CNN

High-dimensional Statistics, Optimization, Statistical Learning Theory

High-dimensional Statistics, Optimization, Statistical Learning Theory

Interpretable deep learning, natural language processing

Interpretable deep learning, natural language processing

Adv.: Ron Fearing

Learning for control, cooperative multi-robot teams

Learning for control, cooperative multi-robot teams

Adv.: Avideh Zakhor

Active Perception, Aerial Robotics, Real-Time Robotics, Sensor-Based Planning

Active Perception, Aerial Robotics, Real-Time Robotics, Sensor-Based Planning

Adv.: Trevor Darrell, Alexandre Bayen

Learning systems, computer vision, Alzheimer's disease

Learning systems, computer vision, Alzheimer's disease

Adv.: Michael I. Jordan

Machine Learning, Optimization, Distributed Systems

Machine Learning, Optimization, Distributed Systems

Adv.: Jack Gallant

Neuroscience, statistical learning, system identification

Neuroscience, statistical learning, system identification

Adv.: Tom Griffiths

Causal Inference, Machine Learning, Structure Point Processes

Causal Inference, Machine Learning, Structure Point Processes

Adv.: Bruno Olshausen

Machine Learning, Neuroscience, Vision

Machine Learning, Neuroscience, Vision

Adv.: Michael I. Jordan

Large-scale Machine Learning, Big Data, Computer Systems

Large-scale Machine Learning, Big Data, Computer Systems

Adv.: John Canny

Autonomous vehicles, deep learning and computer vision

Autonomous vehicles, deep learning and computer vision

Adv.: Martin Wainwright

Information theory, statistical machine learning, and optimization

Information theory, statistical machine learning, and optimization

Adv.: Alyosha Efros

Computer Vision, Unsupervised Learning

Computer Vision, Unsupervised Learning

Adv.: Pieter Abbeel

Reinforcement learning, motion control, computer graphics

Reinforcement learning, motion control, computer graphics

Adv.: Tom Griffiths

Representation Learning, Machine Learning

Representation Learning, Machine Learning

Adv.: Laura Waller

Computational Imaging, Cell Imaging, Portable Microcopy, Smartphone Microscopy, High-Throughput Imaging, Phase Retreival

Computational Imaging, Cell Imaging, Portable Microcopy, Smartphone Microscopy, High-Throughput Imaging, Phase Retreival

Adv.: Martin Wainwright

Convex optimization, machine learning and statistics

Convex optimization, machine learning and statistics

Adv.: Peter Bartlett

Nonparametric Bayesian statistics and spectral graph models with a special focus on applications to ecological modeling and quantitative finance.

Nonparametric Bayesian statistics and spectral graph models with a special focus on applications to ecological modeling and quantitative finance.

Adv.: Sergey Levine

Deep Learning, Reinforcement Learning, Robotics

Deep Learning, Reinforcement Learning, Robotics

Adv.: Jack Gallant

Neuroscience, machine learning, language, brain decoding

Neuroscience, machine learning, language, brain decoding

Adv.: Michael I. Jordan

Machine Learning, Statistics, Structured Learning, Natural Language Processing

Machine Learning, Statistics, Structured Learning, Natural Language Processing

Adv.: Sergey Levine, Alyosha Efros

Vision and machine learning for robotics

Vision and machine learning for robotics

Adv.: Stuart Russell

Statistical Inference, Machine Learning, Model-Based Probabilistic Inference for Intensive Care Medicine

Statistical Inference, Machine Learning, Model-Based Probabilistic Inference for Intensive Care Medicine

Adv.: Anca Dragan, Sergey Levine

Deep Reinforcement Learning, Human-Robot Interaction

Deep Reinforcement Learning, Human-Robot Interaction

Adv.: Laura Waller

Computational Imaging, Inverse Problems, Optimization, Signal Processing

Computational Imaging, Inverse Problems, Optimization, Signal Processing

Adv.: Ben Recht

Machine Learning Systems, Optimization

Machine Learning Systems, Optimization

Adv.: Ben Recht

Machine Learning, Human-Robotic Interaction

Machine Learning, Human-Robotic Interaction

Adv.: Bruno Olshausen

Vision, Information Theory, Neuroscience

Vision, Information Theory, Neuroscience

Adv.: Sergey Levine

Deep reinforcement learning, Robotic perception and control

Deep reinforcement learning, Robotic perception and control

Adv.: Shankar Sastry

Human-centered robotics, Formal Methods, Autonomous vehicles, Safe control and verification

Human-centered robotics, Formal Methods, Autonomous vehicles, Safe control and verification

Adv.: Tom Griffiths

Representation learning, hierarchical reinforcement learning, vision

Representation learning, hierarchical reinforcement learning, vision

Adv.: Pieter Abbeel

Reinforcement learning, unsupervised learning

Reinforcement learning, unsupervised learning

Adv.: Shankar Sastry

Human-centered Robotics, Shared Control, Haptic Interfaces, Augmented Reality

Human-centered Robotics, Shared Control, Haptic Interfaces, Augmented Reality

Adv.: Ken Goldberg, John Canny

Machine learning, reinforcement learning, robotics

Machine learning, reinforcement learning, robotics

Human-compatible AI, value learning, deep learning

Human-compatible AI, value learning, deep learning

Adv.: Martin Wainwright

Statistical learning and game theory with applications to crowdsourcing

Statistical learning and game theory with applications to crowdsourcing

Adv.: Ben Recht

Machine Learning, Optimization, Systems

Machine Learning, Optimization, Systems

Adv.: Trevor Darrell

End-to-End Vision and Reinforcement Learning

End-to-End Vision and Reinforcement Learning

Adv.: Laura Waller

Computational imaging, EUV lithography, optimization, physical simulation

Computational imaging, EUV lithography, optimization, physical simulation

Adv.: Dawn Song

Machine learning, computer security, programming systems

Machine learning, computer security, programming systems

Adv.: Ben Recht

Optimization, Machine Learning, Active Learning

Optimization, Machine Learning, Active Learning

Adv.: Pieter Abbeel

Adv.: Sergey Levine

Machine learning for robotic perception and control

Machine learning for robotic perception and control

Statistics, Computational Neuroscience, Deep Learning

Statistics, Computational Neuroscience, Deep Learning

Adv.: Michael I. Jordan

Machine Learning, Optimization, Distributed Systems

Machine Learning, Optimization, Distributed Systems

Adv.: Pieter Abbeel

Reinforcement learning, Meta-learning

Reinforcement learning, Meta-learning

Adv.: Ren Ng

Computer Vision, Computational Photography, Computer Graphics

Computer Vision, Computational Photography, Computer Graphics

Adv.: Laura Waller

Natural language processing, education

Natural language processing, education

Adv.: Michael I. Jordan, Dan Klein

Natural language processing, machine learning, optimization

Natural language processing, machine learning, optimization

Adv.: Pieter Abbeel

Reinforcement learning, robot control

Reinforcement learning, robot control

Adv.: Pieter Abbeel

Deep learning, reinforcement learning

Deep learning, reinforcement learning

Adv.: Alexandre Bayen

Operations Research, Machine Learning, Convex Optimization

Operations Research, Machine Learning, Convex Optimization

Adv.: Ken Goldberg

Computational Neural Science, Parallel Computing, Deep Learning in Computer Vision

Computational Neural Science, Parallel Computing, Deep Learning in Computer Vision

Adv.: Pieter Abbeel

Reinforcement learning, unsupervised learning, robotic control

Reinforcement learning, unsupervised learning, robotic control

Adv.: Alexandre Bayen

Control, reinforcement learning

Control, reinforcement learning

Empirical legal studies, causal inference, and resampling methods.

Empirical legal studies, causal inference, and resampling methods.

Adv.: Joseph Gonzalez

Low-Latency Learning, Deep Learning Systems

Low-Latency Learning, Deep Learning Systems

Adv.: Martin Wainwright

High dimensional and nonparametric statistics, machine learning

High dimensional and nonparametric statistics, machine learning

Adv.: Michael I. Jordan

Statistics, Machine Learning, Optimization

Statistics, Machine Learning, Optimization

Adv.: Michael I. Jordan, Ben Recht

Theoretical Statistics, Machine Learning, Optimization

Theoretical Statistics, Machine Learning, Optimization

Adv.: Pieter Abbeel, Stuart Russell

Probabilistic Inference, Machine Learning, Deep Reinforcement Learning

Probabilistic Inference, Machine Learning, Deep Reinforcement Learning

Adv.: Alexandre Bayen

Optimization, Reinforcement learning, Multi-agent systems, Urban systems, Autonomous vehicles

Optimization, Reinforcement learning, Multi-agent systems, Urban systems, Autonomous vehicles

Bio-image data analysis and dictionary learning

Bio-image data analysis and dictionary learning

Adv.: Trevor Darrell

Deep Autonomous Driving, Vision, Reinforcement Learning

Deep Autonomous Driving, Vision, Reinforcement Learning

Adv.: Joseph Gonzalez

Machine learning for systems management

Machine learning for systems management

Adv.: Martin Wainwright

Machine learning, non-convex optimization, high-dimensional statistics

Machine learning, non-convex optimization, high-dimensional statistics

Adv.: Laura Waller

Computational imaging, super-resolution microscopy, phase retrieval

Computational imaging, super-resolution microscopy, phase retrieval

Adv.: Pieter Abbeel

Deep learning, reinforcement learning

Deep learning, reinforcement learning

Adv.: Pieter Abbeel, Sergey Levine

Representation learning, reinforcement learning

Representation learning, reinforcement learning

Machine Learning, Optimization, Statistics

Machine Learning, Optimization, Statistics

Adv.: Ren Ng

Computer Graphics, Computer Vision, Computational Photography, Image Processing

Computer Graphics, Computer Vision, Computational Photography, Image Processing

Adv.: Jack Gallant

Neuroscience, navigation, vision, dank memes

Neuroscience, navigation, vision, dank memes

Adv.: Claire Tomlin

Modeling and control of cyber-physical systems, online learning and machine learning, economics and game theory, building automation and control

Modeling and control of cyber-physical systems, online learning and machine learning, economics and game theory, building automation and control

Adv.: Alyosha Efros

Computer Graphics, Computer Vision

Computer Graphics, Computer Vision

Adv.: Michael I. Jordan, Moritz Hardt

Machine Learning, Statistics, Optimization

Machine Learning, Statistics, Optimization

Adv.: Stuart Russell

Adv.: Pieter Abbeel

Task and motion planning, reinforcement learning

Task and motion planning, reinforcement learning

Adv.: Ken Goldberg

Robotics, Computer Vision, Signal Processing, Explainable AI

Robotics, Computer Vision, Signal Processing, Explainable AI

Adv.: Stuart Russell

Machine Learning, Model-based Probabilistic Inference for Intensive Care Medicine

Machine Learning, Model-based Probabilistic Inference for Intensive Care Medicine

Adv.: Pieter Abbeel

Machine Learning, deep reinforcement learning

Machine Learning, deep reinforcement learning

Adv.: Pieter Abbeel

Deep learning, reinforcement learning

Deep learning, reinforcement learning

Adv.: Stuart Russell

Adv.: John Canny

Machine learning, reinforcement learning, deep learning

Machine learning, reinforcement learning, deep learning

Adv.: Pieter Abbeel

Reinforcement learning, robotics

Reinforcement learning, robotics

Adv.: Pieter Abbeel

Reinforcement learning, robot control

Reinforcement learning, robot control

Adv.: Stuart Russell

Adv.: Pieter Abbeel

State estimation, deep reinforcement learning

State estimation, deep reinforcement learning

Adv.: Pieter Abbeel

Robot planning, reinforcement learning

Robot planning, reinforcement learning

Adv.: Sergey Levine

Reinforcement Learning, Robotic Control

Reinforcement Learning, Robotic Control

Adv.: Sergey Levine

Reinforcement learning,transfer learning, robotic manipulation

Reinforcement learning,transfer learning, robotic manipulation

Adv.: Ken Goldberg

Surgical Robotics, Mechanical Design

Surgical Robotics, Mechanical Design

Adv.: Peter Bartlett

Neural Network Theory, Deep Reinforcement Learning, Metalearning, Transfer Learning

Neural Network Theory, Deep Reinforcement Learning, Metalearning, Transfer Learning

Adv.: Ken Goldberg

Deep learning, natural language processing

Deep learning, natural language processing

Adv.: Ken Goldberg

Robotics, Computer Vision, Machine Learning, AI

Robotics, Computer Vision, Machine Learning, AI

Adv.: Ron Fearing

Deep learning, tactile sensing, locomotion, terrain mapping

Deep learning, tactile sensing, locomotion, terrain mapping

Adv.: Ron Fearing

Simulations, machine learning, tactile sensing,locomotion

Simulations, machine learning, tactile sensing,locomotion

Adv.: Ken Goldberg

Machine Learning, AI, Cloud Robotics

Machine Learning, AI, Cloud Robotics

Adv.: Ken Goldberg

Adv.: Stuart Russell, Tom Griffiths

Human-compatible AI, bounded optimality, cognitive science

Human-compatible AI, bounded optimality, cognitive science

Adv.: Sergey Levine

Deep Reinforcement Learning, Meta-Learning

Deep Reinforcement Learning, Meta-Learning

Adv.: Stuart Russell

Statistical inference, model-based machine learning

Statistical inference, model-based machine learning

Adv.: Pieter Abbeel

Robotic perception and control

Robotic perception and control

Adv.: Tom Griffiths

Reinforcement learning, deep learning, cognitive science

Reinforcement learning, deep learning, cognitive science

Adv.: Kurt Keutzer

Computer vision, deep reinforcement learning

Computer vision, deep reinforcement learning

Adv.: Pieter Abbeel

Deep reinforcement learning, meta-learning

Deep reinforcement learning, meta-learning

Visiting Scholar (Ph.D.)

Computer Vision, Human Vision, Fuzzy Logic, Machine Learning

Computer Vision, Human Vision, Fuzzy Logic, Machine Learning

Visiting Reseacher

Adv.: Sergey Levine

Deep reinforcement learning, robotic manipulation and locomotion

Deep reinforcement learning, robotic manipulation and locomotion

Research Assistant

Adv.: Ken Goldberg

Design, Robotics, Precision Agriculture

Design, Robotics, Precision Agriculture

Visiting Researcher

Adv.: Pieter Abbeel

Deep learning, reinforcement learning, computer vision

Deep learning, reinforcement learning, computer vision

Postdoctoral Scholar

Adv.: Ruzena Bajcsy

Biomechanics, Assistive devices and control

Biomechanics, Assistive devices and control

Visiting Scholar (Ph.D.)

Adv.: Ruzena Bajcsy

Computer Vision, Graphics and Learning

Computer Vision, Graphics and Learning