Jihun Yun

According to our database1, Jihun Yun authored at least 10 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations.
CoRR, January, 2025

2024
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.
CoRR, 2024

TEDDY: Trimming Edges with Degree-based Discrimination Strategy.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Adaptive Proximal Gradient Methods for Structured Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
A General Family of Stochastic Proximal Gradient Methods for Deep Learning.
CoRR, 2020

2019
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation.
CoRR, 2019

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019


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