Project
Machine Learning Theory
Our work in machine learning theory ranges from modeling to mathematical analysis of algorithms to experimental probing. The diverse set of topics include clustering, optimization, unsupervised learning, algebraic methods, fairness, causality, and deep learning.
Project
Carbon Insight
A platform to display carbon neutralization information for researchers, decision-makers, and other participants in the community. Carbon Insight (opens in new tab) is a platform aiming to display the carbon neutralization roadmap for researchers, decision-makers,…