Jihun Yun

17 papers A* 6A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Coverage Improvement and Fast Convergence of On-policy Preference Learning.
CoRR
Juno Kim, Jihun Yun, Jason D. Lee, Kwang-Sung Jun
2026 J jnl
THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.
CoRR
Seanie Lee, Sangwoo Park, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang
2026 J jnl
Uniform Spectral Growth and Convergence of Muon in LoRA-Style Matrix Factorization.
CoRR
Changmin Kang, Jihun Yun, Baekrok Shin, Yeseul Cho, Chulhee Yun
2025 J jnl
Alignment as Distribution Learning: Your Preference Model is Explicitly a Language Model.
CoRR
Jihun Yun, Juno Kim, Jongho Park, Junhyuck Kim, Jongha Jon Ryu, Jaewoong Cho, Kwang-Sung Jun
2025 A* conf
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.
ICLR
Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang
2025 J jnl
Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations.
CoRR
Sihwan Park, Jihun Yun, Sungyub Kim, Souvik Kundu, Eunho Yang
2024 J jnl
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding.
CoRR
Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang
2024 A* conf
TEDDY: Trimming Edges with Degree-based Discrimination Strategy.
ICLR
Hyunjin Seo, Jihun Yun, Eunho Yang
2024 J jnl
TEDDY: Trimming Edges with Degree-based Discrimination strategY.
CoRR
Hyunjin Seo, Jihun Yun, Eunho Yang
2023 A* conf
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds.
NeurIPS
Jihun Yun, Eunho Yang
2022 A conf
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning.
AISTATS
Jihun Yun, Aurélie C. Lozano, Eunho Yang
2021 A* conf
Adaptive Proximal Gradient Methods for Structured Neural Networks.
NeurIPS
Jihun Yun, Aurélie C. Lozano, Eunho Yang
2021 A* conf
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
ICCV
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021 J jnl
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
CoRR
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2020 J jnl
A General Family of Stochastic Proximal Gradient Methods for Deep Learning.
CoRR
Jihun Yun, Aurélie C. Lozano, Eunho Yang
2019 J jnl
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation.
CoRR
Jihun Yun, Aurélie C. Lozano, Eunho Yang
2019 A* conf
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning.
ICML
Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin