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 J├Ąger

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