Chulhee Yun
37 papers · 2018–2025 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Chulhee Yun?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Suvrit Sra, Ali Jadbabaie, Minhak Song
13 papers
· 2018–2025
· ICLR, NeurIPS, ICML
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Does SGD really happen in tiny subspaces?
ICLR 2025
Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
ICML 2025
Linear attention is (maybe) all you need (to understand Transformer optimization)
ICLR 2024
On the Training Instability of Shuffling SGD with Batch Normalization
ICML 2023
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
NeurIPS 2023
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
ICLR 2022
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
COLT 2021
SGD with shuffling: optimal rates without component convexity and large epoch requirements
NeurIPS 2020
Are deep ResNets provably better than linear predictors?
NeurIPS 2019
Efficiently testing local optimality and escaping saddles for ReLU networks
ICLR 2019
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
NeurIPS 2019
Small nonlinearities in activation functions create bad local minima in neural networks
ICLR 2019
Global Optimality Conditions for Deep Neural Networks
ICLR 2018
5 papers whose co-authors appear nowhere else under this name
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
ICLR 2025
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
NeurIPS 2024
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
NeurIPS 2023
A unifying view on implicit bias in training linear neural networks
ICLR 2021
Minimax Bounds on Stochastic Batched Convex Optimization
COLT 2018