Members of ADSI
Nonsmooth Optimization, Variational Analysis
Convex optimization, Algorithms, Machine Learning, and Control
Safe Statistical Machine Learning, Representations For Signals and Images
Theoretical and Applied Questions in Machine Learning and Artificial Intelligence
Yin Tat Lee
Convex Optimization, Convex Geometry, Spectral Graph Theory, Online Algorithms
Machine Learning, Optimization, Algorithms
Convex and Variational Analysis, Machine Learning, Robust Statistics, Nonconvex Optimization
Data Management for Data Science, Big Data Systems, Cloud Computing
Submodular Optimization, Graphical Models
Machine Learning, Convex Optimization, Multi-armed Bandits
Machine Learning, Online Prediction, Algorithm Engineering
Machine Learning, Data Mining
Graphical Models, Algebraic Statistics, Model Selection
Global Health, Health Metrics, Bayesian Computation, Machine Learning.
Large-scale Bayesian Dynamic Modeling and Computations
Michael P. Friedlander
Algorithms, Metric Embeddings, Spectral Graph Theory, Convex Optimization
Machine Learning, Clustering, Geometric Data Analysis, Networks, Preference Modeling
Machine Learning, Convex Optimization, Graphical Models
Statistical Network Analysis, Statistical Machine Learning for Complex Systems.
Random Matrix Theory, Nmerical Analysis and Spectral Methods
Large-scale Optimization, Parallel and Distributed Computing.
Dynamic optimization problems for data science.
Clustering, Crowdsourcing, Convex Optimization, Machine Learning.
Unsupervised Learning for Signals and Images
Machine Learning, Optimization
Optimization, Information Theory
Statistical Machine Learning, Non-convex Optimization
Representation learning, Time Series Models, Structured Prediction, Applications to Music.