Online Learning

Event Weekly OSI Lab Seminar Short summary In this seminar, I will talk my recent work on the new, state-of-the-art regret bound for (multinomial) logistic bandits, and the regret-to-confidence-set conversion, the key technical novelty behind such improvement.

Event Weekly OSI Lab Seminar Short summary In this seminar, I will talk about the generalized linear bandits and logistic bandits. Especially for the logistic bandits, I will talk about its connection to the generalized linear bandits and some recent progresses on it from Criteo AI Lab.

Logistic bandit is a ubiquitous framework of modeling users’ choices, e.g., click vs. no click for advertisement recommender …

Proposes a framework for performing fair PCA in memory limited, streaming setting. Sample complexity results and empirical discussions show the superiority of our approach compared to the existing approaches.

(tbd)