Students
Students
Wonho Bae
Area of Study:
active learning, meta learning, semi-weakly supervised learning
Supervisors:
Danica Sutherland
Jiaming Cheng
Area of Study:
Optimization under uncertainty, Network economics, Market design
Zhenan Fan
Area of Study:
Structured optimization and federated learning
Curtis Fox
Area of Study:
Adaptive Stochastic Optimization Methods for Machine Learning
Emily Gong
Area of Study:
Optimal Transport
Dylan Green
Area of Study:
Deep Generative Models for Video
Emma Hansen
Area of Study:
Optimisation theory, duality
Jonas Jäger
Area of Study:
Intersection of Quantum Computing and Machine Learning
Milad Jalai
Area of Study:
Statistical Learning Theory, Differential Privacy
Yorker Lin
Area of Study:
Numerical Methods for Differential Geometry, Information Geometry, Manifold Optimization
Michael Liu
Area of Study:
Graph Neural Networks and Deep Learning
Alan Milligan
Area of Study:
Machine Learning & Optimization
Bahareh Najafi
Area of Study:
Representation Learning in Dynamic Graphs
Yi Ren
Area of Study:
Learning dynamics and systematic generalization problems
Nicholas Richardson
Area of Study:
Signal Processing, Machine Learning, Musical Applications
Victor Sanches Portella
Area of Study:
Online learning, optimization, and algorithm design
Matthew Scott
Area of Study:
Generative Compressed Sensing and High-Dimensional Probability
Betty Shea
Area of Study:
Optimization and algorithms
Hamed Shirzad
Postdoc
Area of Study:
Graph Neural Networks, Evaluating Generative Models for the Graphs
Qi Yan
Postdoc
Area of Study:
Generative model for graphs, self-driving
Helen Zhang
Postdoc
Area of Study:
My research area is optimization in safe reinforcement learning