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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.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

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 Hanseul Cho, Srinadh Bhojanapalli, Jaeyoung Cha 17 papers · 2020–2025 · ICML, NeurIPS, ICLR Hide ▲
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count ICLR 2025 Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification ICLR 2025 Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems ICML 2025 Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty ICML 2025 Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent ICML 2025 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization ICML 2024 Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure NeurIPS 2024 Provable Benefit of Cutout and CutMix for Feature Learning NeurIPS 2024 Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint NeurIPS 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NeurIPS 2023 Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond ICML 2023 Are Transformers universal approximators of sequence-to-sequence functions? ICLR 2020 Low-Rank Bottleneck in Multi-head Attention Models ICML 2020 O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers NeurIPS 2020
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

Venues · all papers under this name

ICLR (13) NeurIPS (12) ICML (9) COLT (3)