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Kwangjun Ahn
Kwangjun Ahn
PhD Student, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
From Nesterov's Estimate Sequence to Riemannian Acceleration
K Ahn, S Sra
Proceedings of Thirty Third Conference on Learning Theory (COLT), PMLR 125 …, 2020
732020
Hypergraph spectral clustering in the weighted stochastic block model
K Ahn, K Lee, C Suh
IEEE Journal of Selected Topics in Signal Processing 12 (5), 959-974, 2018
712018
SGD with shuffling: optimal rates without component convexity and large epoch requirements
K Ahn, C Yun, S Sra
NeurIPS 2020, 2020
64*2020
Optimal dimension dependence of the metropolis-adjusted langevin algorithm
S Chewi, C Lu, K Ahn, X Cheng, T Le Gouic, P Rigollet
Conference on Learning Theory (COLT), 1260-1300, 2021
632021
Understanding the unstable convergence of gradient descent
K Ahn, J Zhang, S Sra
ICML 2022 (arXiv:2204.01050), 2022
592022
Transformers learn to implement preconditioned gradient descent for in-context learning
K Ahn, X Cheng, H Daneshmand, S Sra
NeurIPS 2023, 2023
552023
Efficient constrained sampling via the mirror-Langevin algorithm
K Ahn, S Chewi
NeurIPS 2021, 2021
512021
Community recovery in hypergraphs
K Ahn, K Lee, C Suh
IEEE Transactions on Information Theory 65 (10), 6561-6579, 2019
412019
Binary rating estimation with graph side information
K Ahn, K Lee, H Cha, C Suh
NeurIPS 2018, 4272-4283, 2018
362018
Graph Matrices: Norm Bounds and Applications
K Ahn, D Medarametla, A Potechin
arXiv preprint 1604.03423, 2020
30*2020
Learning threshold neurons via the "edge of stability"
K Ahn, S Bubeck, S Chewi, YT Lee, F Suarez, Y Zhang
NeurIPS 2023, 2022
242022
Understanding Nesterov's Acceleration via Proximal Point Method
K Ahn, S Sra
Symposium on Simplicity in Algorithms (SOSA), 117-130, 2022
15*2022
Reproducibility in Optimization: Theoretical Framework and Limits
K Ahn, P Jain, Z Ji, S Kale, P Netrapalli, GI Shamir
NeurIPS 2022, 2022
132022
Linear attention is (maybe) all you need (to understand transformer optimization)
K Ahn, X Cheng, M Song, C Yun, A Jadbabaie, S Sra
ICLR 2024 (arXiv:2310.01082), 2023
122023
Riemannian perspective on matrix factorization
K Ahn, F Suarez
arXiv preprint arXiv:2102.00937, 2021
122021
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
H Sun, K Ahn, C Thrampoulidis, N Azizan
NeurIPS 2022, 2022
92022
The Crucial Role of Normalization in Sharpness-Aware Minimization
Y Dai, K Ahn, S Sra
NeurIPS 2023, 2023
72023
One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
Y Min, K Ahn, N Azizan
CDC 2022 (arXiv preprint arXiv:2207.13853), 2022
72022
Agnostic Learnability of Halfspaces via Logistic Loss
Z Ji, K Ahn, P Awasthi, S Kale, S Karp
ICML 2022, 2022
62022
Information-theoretic limits of subspace clustering
K Ahn, K Lee, C Suh
2017 IEEE International Symposium on Information Theory (ISIT), 2473-2477, 2017
52017
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Articles 1–20