Members of ADSI

Faculty

Dmitriy
Dmitriy Drusvyatskiy
Nonsmooth Optimization, Variational Analysis

Maryam
Maryam Fazel
Convex optimization, Algorithms, Machine Learning, and Control

Zaid
Zaid Harchaoui
Safe Statistical Machine Learning, Representations For Signals and Images

Sham
Sham Kakade
Theoretical and Applied Questions in Machine Learning and Artificial Intelligence

Yin Tat
Yin Tat Lee
Convex Optimization, Convex Geometry, Spectral Graph Theory, Online Algorithms

Affiliates

Zeyuan
Zeyuan Allen-Zhu
Machine Learning, Optimization, Algorithms

Sasha
Sasha Aravkin
Convex and Variational Analysis, Machine Learning, Robust Statistics, Nonconvex Optimization

Magdalena
Magdalena Balazinska
Data Management for Data Science, Big Data Systems, Cloud Computing

Jeff
Jeff Bilmes
Submodular Optimization, Graphical Models

S├ębastien
S├ębastien Bubeck
Machine Learning, Convex Optimization, Multi-armed Bandits

Ofer
Ofer Dekel
Machine Learning, Online Prediction, Algorithm Engineering

Pedro
Pedro Domingos
Machine Learning, Data Mining

Mathias
Mathias Drton
Graphical Models, Algebraic Statistics, Model Selection

Abraham
Abraham Flaxman
Global Health, Health Metrics, Bayesian Computation, Machine Learning.

Emily
Emily Fox
Large-scale Bayesian Dynamic Modeling and Computations

Michael P.
Michael P. Friedlander
Optimization

Kevin
Kevin Jamieson
Active Learning

Sreeram
Sreeram Kannan
Information Theory

Marina
Marina Meila
Machine Learning, Clustering, Geometric Data Analysis, Networks, Preference Modeling

Mark
Mark Schmidt
Machine Learning, Convex Optimization, Graphical Models

Lin
Lin Xiao
Large-scale Optimization, Parallel and Distributed Computing.

Graduate Students

Alec
Alec Greaves-Tunnell
Optimization

Corinne
Corinne Jones
Unsupervised Learning for Signals and Images

Kellie
Kellie MacPhee
Optimization

Swati
Swati Padmanabhan
Convex Optimization.

Krishna
Krishna Pillutla
Machine Learning, Optimization

Omid
Omid Sadeghi
Optimization, Information Theory

Yue
Yue Sun
Statistical Machine Learning, Non-convex Optimization

John
John Thickstun
Representation learning, Time Series Models, Structured Prediction, Applications to Music.