Ernest K. Ryu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Stationary Points

Optimization Methods

Linear Programming

Invariant Representation

Top Venues

Publications

Uijeong Jang, Jason D. Lee, Ernest K. Ryu
LoRA Training in the NTK Regime has No Spurious Local Minima. CoRR (2024)
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
Image Clustering Conditioned on Text Criteria. ICLR (2024)
Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model. CoRR (2024)
Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand
Deflated Dynamics Value Iteration. CoRR (2024)
Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. 204 (1) (2024)
Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
Publisher Correction: Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. 204 (1) (2024)
Jaewook J. Suh, Jisun Park, Ernest K. Ryu
Continuous-time Analysis of Anchor Acceleration. NeurIPS (2023)
Jisun Park, Ernest K. Ryu
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations. ICML (2023)
Sehyun Kwon, Joo Young Choi, Ernest K. Ryu
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations. CoRR (2023)
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
Image Clustering Conditioned on Text Criteria. CoRR (2023)
Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. CoRR (2023)
Sehyun Kwon, Joo Young Choi, Ernest K. Ryu
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations. ICML (2023)
Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. NeurIPS (2023)
Jaeyeon Kim, Asuman E. Ozdaglar, Chanwoo Park, Ernest K. Ryu
Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value. NeurIPS (2023)
Jongmin Lee, Ernest K. Ryu
Accelerating Value Iteration with Anchoring. CoRR (2023)
Jisun Park, Ernest K. Ryu
Exact Optimal Accelerated Complexity for Fixed-Point Iterations. ICML (2022)
Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang
Robust Probabilistic Time Series Forecasting. CoRR (2022)
Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks. CoRR (2022)
Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks. ICML (2022)
Jaewook J. Suh, Gyumin Roh, Ernest K. Ryu
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems. ICML (2022)
Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang
Robust Probabilistic Time Series Forecasting. AISTATS (2022)
Ernest K. Ryu, Robert Hannah, Wotao Yin
Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry. Math. Program. 194 (1) (2022)
Albert No, Taeho Yoon, Kwon Sehyun, Ernest K. Ryu
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points. ICML (2021)
Taeho Yoon, Ernest K. Ryu
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm. ICML (2021)
Sulaiman A. Alghunaim, Ernest K. Ryu, Kun Yuan, Ali H. Sayed
Decentralized Proximal Gradient Algorithms With Linear Convergence Rates. IEEE Trans. Autom. Control. 66 (6) (2021)
Jongmin Lee, Chanwoo Park, Ernest K. Ryu
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast. NeurIPS (2021)
Albert No, Taeho Yoon, Se-Hyeon Kwon, Ernest K. Ryu
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points. CoRR (2021)
Youngsuk Park, Ernest K. Ryu
Linear convergence of cyclic SAGA. Optim. Lett. 14 (6) (2020)
Ernest K. Ryu, Bang Công Vu
Finding the Forward-Douglas-Rachford-Forward Method. J. Optim. Theory Appl. 184 (3) (2020)
Ernest K. Ryu, Adrien B. Taylor, Carolina Bergeling, Pontus Giselsson
Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection. SIAM J. Optim. 30 (3) (2020)
Ernest K. Ryu, Seyoon Ko, Joong-Ho Won
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET. SIAM J. Sci. Comput. 42 (1) (2020)
Xinmeng Huang, Ernest K. Ryu, Wotao Yin
Scaled Relative Graph of Normal Matrices. CoRR (2020)
Ernest K. Ryu
Uniqueness of DRS as the 2 operator resolvent-splitting and impossibility of 3 operator resolvent-splitting. Math. Program. 182 (1) (2020)
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR (2019)
Ernest K. Ryu, Yanli Liu, Wotao Yin
Douglas-Rachford splitting and ADMM for pathological convex optimization. Comput. Optim. Appl. 74 (3) (2019)
Yanli Liu, Ernest K. Ryu, Wotao Yin
A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs. Math. Program. 177 (1-2) (2019)
Ernest K. Ryu, Kun Yuan, Wotao Yin
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. CoRR (2019)
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML (2019)
Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher
Monge-Kantorovich Problem: A Scalable Parallel First-Order Method. J. Sci. Comput. 75 (3) (2018)
Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo
A Parallel Method for Earth Mover's Distance. J. Sci. Comput. 75 (1) (2018)
Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. SIAM J. Sci. Comput. 40 (5) (2018)
Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. CoRR (2017)
Yanli Liu, Ernest K. Ryu, Wotao Yin
A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. CoRR (2017)
Ernest K. Ryu, Stephen P. Boyd
Extensions of Gauss Quadrature Via Linear Programming. Found. Comput. Math. 15 (4) (2015)