Chulhee “Charlie” Yun
Chulhee “Charlie” Yun
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Two papers got accepted to the NeurIPS 2023 Workshop on <a href="https://sites.google.com/view/m3l-2023" target="_blank">Mathematics of Modern Machine Learning (M3L)</a>! (update: both papers were selected for **oral presentations!**)
Oct 28, 2023
Four papers got accepted to NeurIPS 2023; among them, our <a href="https://arxiv.org/abs/2306.09850" target="_blank">SAM analysis paper</a> was selected for a **spotlight presentation!** Congratulations and thank you to my co-authors!
Sep 22, 2023
Our <a href="https://arxiv.org/abs/2306.09850" target="_blank">paper</a> on the convergence properties of Sharpness-Aware Minimization was selected for the **Outstanding Paper Award** at the 2023 <a href="http://aiassociation.kr" target="_blank">Korean AI Association</a> Conference (CKAIA 2023)!
Jul 13, 2023
Three papers got accepted to ICML 2023. I'm delighted that one of them was selected for an **oral presentation!**
Apr 25, 2023
I will be serving as an area chair for NeurIPS 2023. This is my first time ACing!
Mar 20, 2023
One paper got accepted to ICLR 2023!
Jan 21, 2023
I have organized and will be chairing two sessions on “Mathematical Theory of AI” at the 2022 <a href="http://aiassociation.kr" target="_blank">Korean AI Association</a>-NAVER Joint Conference (JKAIA 2022). Also, I am pleased to announce that our <a href="https://arxiv.org/abs/2210.05995" target="_blank">submission</a> on shuffling-based stochastic gradient descent-ascent won the **NAVER Outstanding Theory Paper Award** at the conference!
Nov 16, 2022
Check out our new <a href="https://arxiv.org/abs/2210.05995" target="_blank">preprint</a> on the analysis of shuffling-based stochastic gradient descent-ascent!
Oct 13, 2022
I had an <a href="https://www.eiric.or.kr/manpower/rising_view.php?Seq=43" target="_blank">interview</a> (in Korean) with the Electronic & Information Research Information Center (EIRIC). Sharing this for prospective students who want to know more about my research goals!
Apr 21, 2022
I will be presenting our paper on the analysis of shuffling-based federated optimization methods at ICLR 2022. Our paper was selected for an ***oral presentation!*** (Top 1.6% of all submissions)
Jan 29, 2022
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