GradNova

Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making

1 faculty research Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making on GradNova.

S

Associate Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making

Sparse and Compressive Sensing Techniques

Stochastic Gradient Optimization Techniques

Domain Adaptation and Few-Shot Learning

+2