Statistics

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will talk about my own paper “Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion” (Lee et al.

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 OptiML Lab Group Meeting Short summary In this talk, I will first (somewhat rigorously) introduce the framework of reinforcement learning with human feedback (RLHF). Then I will go over three recent breakthroughs in the analysis and improvement of RLHF.

Event Weekly OSI Lab Seminar Short summary In this talk, I will first (somewhat rigorously) introduce the framework of reinforcement learning with human feedback (RLHF). Then I will go over three recent breakthroughs in the analysis and improvement of RLHF.

Event Weekly OSI Lab Seminar Short summary In this seminar, I will first give a brief yet comprehensive overview of the seminal results on community detection in stochastic block models (SBMs).

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will first give a brief yet comprehensive overview of the seminal results on community detection in stochastic block models (SBMs).

Event Weekly OSI Lab Seminar Short summary In this seminar, I will talk my recent work (submitted to NeurIPS) on a streaming variant of fair PCA. Abstract Fair Principal Component Analysis (PCA) is a problem setting where we aim to perform PCA while making the resulting representation fair in that the projected distributions, conditional on the sensitive attributes, match one another.

Event Weekly OSI Lab Seminar Short summary In this seminar, I will talk about the paper “Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs” (Cheng et al., ICLR 2023).

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will talk about my own paper “Nearly Optimal Latent State Decoding in Block MDPs” (Jedra et al., arXiv 2022).

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.