Jihun Yun

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations.

Sihwan Park, Jihun Yun, Sungyub Kim, Souvik Kundu, Eunho Yang

CoRR, January, 2025

2024

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.

Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang

CoRR, 2024

TEDDY: Trimming Edges with Degree-based Discrimination Strategy.

Hyunjin Seo, Jihun Yun, Eunho Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.

Jihun Yun, Eunho Yang

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.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Adaptive Proximal Gradient Methods for Structured Neural Networks.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

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.

Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

Jihun Yun, Aurélie C. Lozano, Eunho Yang

CoRR, 2020

2019

Stochastic Gradient Methods with Block Diagonal Matrix Adaptation.

Jihun Yun, Aurélie C. Lozano, Eunho Yang

CoRR, 2019

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.

Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin

Proceedings of the 36th International Conference on Machine Learning, 2019