specific topics tbd
Developed least disagree metric (LDM), a new disagreement-based uncertainty measure, and an LDM-based active learning algorithm with state-of-the-art performance guarantee.
Part of fair representation learning. Develop a theory of fairness in dimensionality reduction: new definition, new (efficient) algorithm, new theoretical results. Currently focused on PCA.
Aim to derive tight likelihood loss-based confidence sequence with time-uniform guarantees, with applications to sequential decision making and RL.
(tbd)