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Ernest K. Ryu
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Primer on monotone operator methods
EK Ryu, S Boyd
Appl. comput. math 15 (1), 3-43, 2016
3742016
Plug-and-play methods provably converge with properly trained denoisers
E Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin
International Conference on Machine Learning, 5546-5557, 2019
3322019
Large-scale convex optimization: algorithms & analyses via monotone operators
EK Ryu, W Yin
Cambridge University Press, 2022
1212022
Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices
H Monajemi, S Jafarpour, M Gavish, Stat 330/CME 362 Collaboration, ...
Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013
1172013
Structural characterization of unsaturated phosphatidylcholines using traveling wave ion mobility spectrometry
HI Kim, H Kim, ES Pang, EK Ryu, LW Beegle, JA Loo, WA Goddard, ...
Analytical chemistry 81 (20), 8289-8297, 2009
1082009
Decentralized proximal gradient algorithms with linear convergence rates
SA Alghunaim, EK Ryu, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 66 (6), 2787-2794, 2020
1032020
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O (1/k^ 2) Rate on Squared Gradient Norm
TH Yoon, EK Ryu
International Conference on Machine Learning, 12098-12109, 2021
912021
A parallel method for earth mover’s distance
W Li, EK Ryu, S Osher, W Yin, W Gangbo
Journal of Scientific Computing 75 (1), 182-197, 2018
902018
Operator splitting performance estimation: Tight contraction factors and optimal parameter selection
EK Ryu, AB Taylor, C Bergeling, P Giselsson
SIAM Journal on Optimization 30 (3), 2251-2271, 2020
842020
Extensions of Gauss quadrature via linear programming
EK Ryu, SP Boyd
Foundations of Computational Mathematics 15 (4), 953-971, 2015
692015
Stochastic proximal iteration: a non-asymptotic improvement upon stochastic gradient descent
EK Ryu, S Boyd
Author website, early draft, 2014
552014
Finding the forward-Douglas–Rachford-forward method
EK Ryu, BC Vũ
Journal of Optimization Theory and Applications 184 (3), 858-876, 2020
472020
Adaptive importance sampling via stochastic convex programming
EK Ryu, SP Boyd
arXiv preprint arXiv:1412.4845, 2014
412014
ODE analysis of stochastic gradient methods with optimism and anchoring for minimax problems and GANs
EK Ryu, K Yuan, W Yin
39*2019
A new use of Douglas–Rachford splitting for identifying infeasible, unbounded, and pathological conic programs
Y Liu, EK Ryu, W Yin
Mathematical Programming 177 (1-2), 225-253, 2019
36*2019
Vector and matrix optimal mass transport: theory, algorithm, and applications
EK Ryu, Y Chen, W Li, S Osher
SIAM Journal on Scientific Computing 40 (5), A3675-A3698, 2018
342018
Risk-constrained Kelly gambling
E Busseti, EK Ryu, S Boyd
The Journal of Investing 25 (3), 118-134, 2016
332016
Uniqueness of DRS as the 2 operator resolvent-splitting and impossibility of 3 operator resolvent-splitting
EK Ryu
Mathematical Programming 182 (1-2), 233-273, 2020
322020
Scaled relative graphs: Nonexpansive operators via 2D Euclidean geometry
EK Ryu, R Hannah, W Yin
Mathematical Programming 194 (1-2), 569-619, 2022
312022
Proximal-proximal-gradient method
EK Ryu, W Yin
arXiv preprint arXiv:1708.06908, 2017
312017
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Artikler 1–20