Chulhee “Charlie” Yun
Chulhee “Charlie” Yun
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Publications
Type
Conference paper
Preprint
Date
2024
2023
2022
2021
2020
2019
2018
2015
Prin Phunyaphibarn
,
Junghyun Lee
,
Bohan Wang
,
Huishuai Zhang
,
Chulhee Yun
.
Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study
.
arXiv preprint
, early version at
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning
(Oral)
, 2024.
arXiv
Jaewook Lee
,
Hanseul Cho
,
Chulhee Yun
.
Fundamental Benefit of Alternating Updates in Minimax Optimization
.
ICML 2024
, early version at
ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning
, 2024.
arXiv
Kwangjun Ahn
,
Xiang Cheng
,
Minhak Song
,
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Linear attention is (maybe) all you need (to understand transformer optimization)
.
ICLR 2024
, short version at
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning
(Oral)
, 2023.
Paper
arXiv
Junghyun Lee
,
Hanseul Cho
,
Se-Young Yun
,
Chulhee Yun
.
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
.
NeurIPS 2023
, 2023.
Paper
arXiv
Minhak Song
,
Chulhee Yun
.
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
.
NeurIPS 2023
, 2023.
Paper
arXiv
Hojoon Lee
,
Hanseul Cho
,
Hyunseung Kim
,
Daehoon Gwak
,
Joonkee Kim
,
Jaegul Choo
,
Se-Young Yun
,
Chulhee Yun
.
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
.
NeurIPS 2023
, 2023.
Paper
arXiv
Dongkuk Si
,
Chulhee Yun
.
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
.
NeurIPS 2023
(Spotlight)
, 2023.
Paper
arXiv
Junsoo Oh
,
Chulhee Yun
.
Provable Benefit of Mixup for Finding Optimal Decision Boundaries
.
ICML 2023
, 2023.
Paper
arXiv
Jaeyoung Cha
,
Jaewook Lee
,
Chulhee Yun
.
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
.
ICML 2023
(Oral)
, 2023.
Paper
arXiv
David X. Wu
,
Chulhee Yun
,
Suvrit Sra
.
On the Training Instability of Shuffling SGD with Batch Normalization
.
ICML 2023
, 2023.
Paper
arXiv
Hanseul Cho
,
Chulhee Yun
.
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
.
ICLR 2023
, 2022.
Paper
arXiv
Chulhee Yun
,
Shashank Rajput
,
Suvrit Sra
.
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
.
ICLR 2022
(Oral)
, 2022.
Paper
arXiv
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
.
COLT 2021
, 2021.
Paper
Long version
Sejun Park
,
Jaeho Lee
,
Chulhee Yun
,
Jinwoo Shin
.
Provable Memorization via Deep Neural Networks using Sub-linear Parameters
.
COLT 2021
, 2021.
Paper
arXiv
Chulhee Yun
,
Shankar Krishnan
,
Hossein Mobahi
.
A Unifying View on Implicit Bias in Training Linear Neural Networks
.
ICLR 2021
, short version at
NeurIPS 2020 Workshop on Optimization for Machine Learning (OPT 2020)
, 2021.
Paper
arXiv
Sejun Park
,
Chulhee Yun
,
Jaeho Lee
,
Jinwoo Shin
.
Minimum Width for Universal Approximation
.
ICLR 2021
(Spotlight)
, 2021.
Paper
arXiv
Kwangjun Ahn
,
Chulhee Yun
,
Suvrit Sra
.
SGD with shuffling: optimal rates without component convexity and large epoch requirements
.
NeurIPS 2020
(Spotlight)
, 2020.
Paper
arXiv
Chulhee Yun
,
Yin-Wen Chang
,
Srinadh Bhojanapalli
,
Ankit Singh Rawat
,
Sashank J. Reddi
,
Sanjiv Kumar
.
$O(n)$ Connections are Expressive Enough: Universal Approximability of Sparse Transformers
.
NeurIPS 2020
, 2020.
Paper
arXiv
Srinadh Bhojanapalli
,
Chulhee Yun
,
Ankit Singh Rawat
,
Sashank J. Reddi
,
Sanjiv Kumar
.
Low-Rank Bottleneck in Multi-head Attention Models
.
ICML 2020
, 2020.
Paper
arXiv
Chulhee Yun
,
Srinadh Bhojanapalli
,
Ankit Singh Rawat
,
Sashank J. Reddi
,
Sanjiv Kumar
.
Are Transformers universal approximators of sequence-to-sequence functions?
.
ICLR 2020
, short version at
NeurIPS 2019 Workshop on Machine Learning with Guarantees
, 2020.
Paper
arXiv
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Are deep ResNets provably better than linear predictors?
.
NeurIPS 2019
, 2019.
Paper
arXiv
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
.
NeurIPS 2019
(Spotlight)
, 2019.
Paper
arXiv
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Efficiently testing local optimality and escaping saddles for ReLU networks
.
ICLR 2019
, 2019.
Paper
arXiv
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Small nonlinearities in activation functions create bad local minima in neural networks
.
ICLR 2019
, 2019.
Paper
arXiv
John Duchi
,
Feng Ruan
,
Chulhee Yun
.
Minimax Bounds on Stochastic Batched Convex Optimization
.
COLT 2018
, 2018.
Paper
Chulhee Yun
,
Suvrit Sra
,
Ali Jadbabaie
.
Global optimality conditions for deep neural networks
.
ICLR 2018
, short version at
NIPS 2017 Workshop on Deep Learning: Bridging Theory and Practice
, 2018.
Paper
arXiv
Chulhee Yun
,
Donghoon Lee
,
Chang D. Yoo
.
Face detection using Local Hybrid Patterns
.
ICASSP 2015
, 2015.
Paper
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