Posts

Three preprints, each on a very different topic, now available :) Near-Optimal Clustering in Mixture of Markov Chains Joint work with Yassir Jedra (MIT EECS -> ICL EEE), Alexandre Proutière (KTH EECS), and Se-Young Yun (KAIST AI) GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression Joint work with Kyoungseok Jang (CAU AI), Kwang-Sung Jun (Univ.

I have been chosen as one of the best reviewers for AISTATS 2025! This is my first time receiving such an award, and I will take this as an encouragement to continue contributing thoughtfully to the research community.

One paper (Probability-Flow ODE in Infinite-Dimensional Function Spaces) is accepted to ICLR 2025 DeLTa Workshop! This is joint work with Kunwoo Na (who led the entire project and did all the experiments!

I will be serving as a reviewer for NeurIPS 2025.

I will be serving as a reviewer for the journal Bayesian Analysis. Special thanks to Juho Lee (KAIST AI) for inviting me, and as this is my first time as a journal reviewer, I’m very excited!

One paper (FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning) is accepted to ICLR 2025! This is joint work with Woosung Koh (who led the entire project and did all the experiments!

I am thrilled to share that I will join Adobe Research (San Jose) as a summer research intern, working with Dr. Branislav “Brano” Kveton on active learning, bandits, RL, LLM, and more!

I will be serving as a reviewer for ICML 2025.

I have been elected as the next lab representative of the OSI Lab! I will be serving from 2025.01.01. to 2025.12.31., and will do my best!

Today I visited Hyperconnect (host: Dr. Gihun Lee) and gave an invited talk, “Bandits 101: A Maximally Non-technical Tutorial”.