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.: 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.: 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

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.: 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.: Ron Fearing

Multi-robot low-power mapping and exploration

Multi-robot low-power mapping and exploration

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.: 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.: 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

Robot learning, perception, transfer and generalization

Robot learning, perception, transfer and generalization

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.: Michael I. Jordan

Mathematical Statistics, Optimization, Theoretical Computer Science

Mathematical Statistics, Optimization, Theoretical Computer Science

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.: 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.: 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.: 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.: 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

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.: John Canny

NewsLens. Helping humans navigate complex news stories

NewsLens. Helping humans navigate complex news stories

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, Distributed Systems

Reinforcement Learning, Learning Systems, Distributed 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.: 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.: 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.: 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.: Bruno Olshausen

Vision, Information Theory, Neuroscience

Vision, Information Theory, Neuroscience

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