Ernest K. Ryu - RankMe

73 papers A* 21A 1Journal 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Policy Gradient Algorithms in Average-Reward Multichain MDPs. CoRR Jongmin Lee, Ernest K. Ryu
2025	J	`jnl`	Accelerated Minimax Algorithms Flock Together. SIAM J. Optim. Taeho Yoon, Ernest K. Ryu
2025	J	`jnl`	Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models. CoRR Jaesung R. Park, Junsu Kim, Gyeongman Kim, Jinyoung Jo, Sean Choi, Jaewoong Cho, Ernest K. Ryu
2025	J	`jnl`	Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs. SIAM J. Optim. Jongmin Lee, Soheun Yi, Ernest K. Ryu
2025	J	`jnl`	Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models. CoRR Hyunsik Chae, Seungwoo Yoon, Jaden Park, Chloe Yewon Chun, Yongin Cho, Mu Cai, Yong Jae Lee, Ernest K. Ryu
2025	J	`jnl`	Deflated Dynamics Value Iteration. Trans. Mach. Learn. Res. Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand
2025	A*	`conf`	Encryption-Friendly LLM Architecture. ICLR Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest K. Ryu, Jung Hee Cheon
2025	J	`jnl`	Finite-Time Bounds for Average-Reward Fitted Q-Iteration. CoRR Jongmin Lee, Ernest K. Ryu
2025	A*	`conf`	LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won't Fail). ICML Junsu Kim, Jaeyeon Kim, Ernest K. Ryu
2025	J	`jnl`	LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail). CoRR Junsu Kim, Jaeyeon Kim, Ernest K. Ryu
2025	A*	`conf`	Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes. ICLR Jongmin Lee, Ernest K. Ryu
2025	J	`jnl`	STORK: Improving the Fidelity of Mid-NFE Sampling for Diffusion and Flow Matching Models. CoRR Zheng Tan, Weizhen Wang, Andrea L. Bertozzi, Ernest K. Ryu
2025	J	`jnl`	Sharpness-Aware Minimization Can Hallucinate Minimizers. CoRR Chanwoong Park, Uijeong Jang, Ernest K. Ryu, Insoon Yang
2025	J	`jnl`	Task Diversity Shortens the In-Context Learning Plateau. Trans. Mach. Learn. Res. Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu
2025	J	`jnl`	Traveling Salesman-Based Token Ordering Improves Stability in Homomorphically Encrypted Language Models. CoRR Donghwan Rho, Sieun Seo, Hyewon Sung, Chohong Min, Ernest K. Ryu
2025	J	`jnl`	Why Policy Gradient Algorithms Work for Undiscounted Total-Reward MDPs. CoRR Jongmin Lee, Ernest K. Ryu
2024	J	`jnl`	Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
2024	J	`jnl`	Deflated Dynamics Value Iteration. CoRR Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand
2024	J	`jnl`	Encryption-Friendly LLM Architecture. CoRR Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Jung Hee Cheon, Ernest K. Ryu
2024	A*	`conf`	Gradient-free Decoder Inversion in Latent Diffusion Models. NeurIPS Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun
2024	J	`jnl`	Gradient-free Decoder Inversion in Latent Diffusion Models. CoRR Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun
2024	A*	`conf`	Image Clustering Conditioned on Text Criteria. ICLR Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
2024	A*	`conf`	LoRA Training in the NTK Regime has No Spurious Local Minima. ICML Uijeong Jang, Jason D. Lee, Ernest K. Ryu
2024	J	`jnl`	LoRA Training in the NTK Regime has No Spurious Local Minima. CoRR Uijeong Jang, Jason D. Lee, Ernest K. Ryu
2024	J	`jnl`	Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models. CoRR Jaesung R. Park, Jaewook J. Suh, Ernest K. Ryu
2024	A*	`conf`	Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique. ICML Taeho Yoon, Jaeyeon Kim, Jaewook J. Suh, Ernest K. Ryu
2024	J	`jnl`	Optimal First-Order Algorithms as a Function of Inequalities. J. Mach. Learn. Res. Chanwoo Park, Ernest K. Ryu
2024	A*	`conf`	Optimization Algorithm Design via Electric Circuits. NeurIPS Stephen Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh
2024	J	`jnl`	Optimization Algorithm Design via Electric Circuits. CoRR Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh
2024	J	`jnl`	Publisher Correction: Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
2024	J	`jnl`	Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model. CoRR Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu
2024	J	`jnl`	Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model. Trans. Mach. Learn. Res. Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu
2024	J	`jnl`	Task Diversity Shortens the ICL Plateau. CoRR Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu
2023	A*	`conf`	Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations. ICML Jisun Park, Ernest K. Ryu
2023	A*	`conf`	Accelerating Value Iteration with Anchoring. NeurIPS Jongmin Lee, Ernest K. Ryu
2023	J	`jnl`	Accelerating Value Iteration with Anchoring. CoRR Jongmin Lee, Ernest K. Ryu
2023	A*	`conf`	Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. NeurIPS Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
2023	J	`jnl`	Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. CoRR Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
2023	A*	`conf`	Continuous-time Analysis of Anchor Acceleration. NeurIPS Jaewook J. Suh, Jisun Park, Ernest K. Ryu
2023	J	`jnl`	Image Clustering Conditioned on Text Criteria. CoRR Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
2023	A*	`conf`	Rotation and Translation Invariant Representation Learning with Implicit Neural Representations. ICML Sehyun Kwon, Joo Young Choi, Ernest K. Ryu
2023	J	`jnl`	Rotation and Translation Invariant Representation Learning with Implicit Neural Representations. CoRR Sehyun Kwon, Joo Young Choi, Ernest K. Ryu
2023	A*	`conf`	Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value. NeurIPS Jaeyeon Kim, Asuman E. Ozdaglar, Chanwoo Park, Ernest K. Ryu
2022	A*	`conf`	Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems. ICML Jaewook J. Suh, Gyumin Roh, Ernest K. Ryu
2022	A*	`conf`	Exact Optimal Accelerated Complexity for Fixed-Point Iterations. ICML Jisun Park, Ernest K. Ryu
2022	A*	`conf`	Neural Tangent Kernel Analysis of Deep Narrow Neural Networks. ICML Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No
2022	J	`jnl`	Neural Tangent Kernel Analysis of Deep Narrow Neural Networks. CoRR Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No
2022	A	`conf`	Robust Probabilistic Time Series Forecasting. AISTATS Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang
2022	J	`jnl`	Robust Probabilistic Time Series Forecasting. CoRR Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang
2022	J	`jnl`	Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry. Math. Program. Ernest K. Ryu, Robert Hannah, Wotao Yin
2021	A*	`conf`	A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast. NeurIPS Jongmin Lee, Chanwoo Park, Ernest K. Ryu
2021	A*	`conf`	Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm. ICML Taeho Yoon, Ernest K. Ryu
2021	J	`jnl`	Decentralized Proximal Gradient Algorithms With Linear Convergence Rates. IEEE Trans. Autom. Control. Sulaiman A. Alghunaim, Ernest K. Ryu, Kun Yuan, Ali H. Sayed
2021	A*	`conf`	WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points. ICML Albert No, Taeho Yoon, Sehyun Kwon, Ernest K. Ryu
2021	J	`jnl`	WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points. CoRR Albert No, Taeho Yoon, Sehyun Kwon, Ernest K. Ryu
2020	J	`jnl`	Finding the Forward-Douglas-Rachford-Forward Method. J. Optim. Theory Appl. Ernest K. Ryu, Bang Công Vu
2020	J	`jnl`	Linear convergence of cyclic SAGA. Optim. Lett. Youngsuk Park, Ernest K. Ryu
2020	J	`jnl`	Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection. SIAM J. Optim. Ernest K. Ryu, Adrien B. Taylor, Carolina Bergeling, Pontus Giselsson
2020	J	`jnl`	Scaled Relative Graph of Normal Matrices. CoRR Xinmeng Huang, Ernest K. Ryu, Wotao Yin
2020	J	`jnl`	Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET. SIAM J. Sci. Comput. Ernest K. Ryu, Seyoon Ko, Joong-Ho Won
2020	J	`jnl`	Uniqueness of DRS as the 2 operator resolvent-splitting and impossibility of 3 operator resolvent-splitting. Math. Program. Ernest K. Ryu
2019	J	`jnl`	A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs. Math. Program. Yanli Liu, Ernest K. Ryu, Wotao Yin
2019	J	`jnl`	Douglas-Rachford splitting and ADMM for pathological convex optimization. Comput. Optim. Appl. Ernest K. Ryu, Yanli Liu, Wotao Yin
2019	J	`jnl`	ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. CoRR Ernest K. Ryu, Kun Yuan, Wotao Yin
2019	A*	`conf`	Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	J	`jnl`	Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2018	J	`jnl`	A Parallel Method for Earth Mover's Distance. J. Sci. Comput. Wuchen Li, Ernest K. Ryu, Stanley J. Osher, Wotao Yin, Wilfrid Gangbo
2018	J	`jnl`	Unbalanced and Partial L J. Sci. Comput. Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher
2018	J	`jnl`	Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. SIAM J. Sci. Comput. Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2017	J	`jnl`	A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. CoRR Yanli Liu, Ernest K. Ryu, Wotao Yin
2017	J	`jnl`	Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. CoRR Ernest K. Ryu, Yongxin Chen, Wuchen Li, Stanley J. Osher
2015	J	`jnl`	Extensions of Gauss Quadrature Via Linear Programming. Found. Comput. Math. Ernest K. Ryu, Stephen P. Boyd
2012	J	`jnl`	Stochastic Kronecker Graph on Vertex-Centric BSP CoRR Ernest K. Ryu, Sean Choi