Jihun Yun
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Cross-Pollinator (15) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (10)
π§
Keyword Pioneer
π₯
Unstoppable
(5)
Conferences
ICLR (2)
NIPS (2)
AISTATS (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
non-convex optimization
(2)
stochastic gradient descent
(2)
adaptive gradient method
(2)
neural network training
(1)
geometric deep learning
(1)
sharpness-aware minimization
(1)
deep learning
(1)
neural network optimization
(1)
sparse regression
(1)
support recovery
(1)
manifold optimization
(1)
generalization error bound
(1)
proximal gradient descent
(1)
convergence guarantee
(1)
adaptive optimization
(1)
deep learning optimization
(1)
straight-through estimator
(1)
hyperbolic space
(1)
non-convex regularization
(1)
matrix adaptation
(1)
Papers
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
ICLR 2025
TEDDY: Trimming Edges with Degree-based Discrimination Strategy
ICLR 2024
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
NIPS 2023
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
AISTATS 2022
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss
ICCV 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
NIPS 2021
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
ICML 2019