OptiML Lab Group Meetings

OptiML Lab (led by Prof. Chulhee Yun) holds a weekly seminar where each member presents a topic (paper, current research…etc) of his/her own interest. The seminar is called off only when it overlaps with some major conference or exam period.

What I’ve been up to nowadays + What I’ll be doing in the future

Event OptiML Lab Winter Workshop Short summary This is a talk I gave during the OptiML Lab Winter Workshop, in which I gave a general overview of my research so far.

Bandits 101: A Maximally Non-technical Tutorial

Event Weekly OptiML Lab Group Meeting Short summary In this (rather sudden) seminar, I will give a maximally non-technical tutorial on bandits, with emphasis on diferent variants …

Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

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 …

Introduction to Reinforcement Learning with Human Feedback (RLHF): A Theoretically Biased Overview

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). …

Community Detection in Block Models: From SBMs to Block Markov Chains

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 …

An Informal, Personal Presentation: My Experience at AISTATS 2023 & My Future Research Plan

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will first talk about my experience at AISTATS 2023. In the second half, I will talk about my research …

A Primer on (Combinatorial) Bandits

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will first introduce bandits, then move on to talk about a special class of bandits, called combinatorial …

Exact Dyanmics of Stochastic Gradient Descent in High Dimensions and Volterra (Integral) Equations

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will talk about the paper “Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD …

Nearly Optimal Latent State Decoding in Block MDPs

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). …

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold

Event Weekly OptiML Lab Group Meeting Short summary In this seminar, I will talk about my own paper “Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold” …