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