ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. E. K. Ryu, K. Yuan, and W. Yin, Manuscript.
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. E. K. Ryu, J. Liu, S. Wang, X. Chen, Z. Wang, and W. Yin, ICML, 2019. Code, Slides, Video.
Finding the Forward-Douglas-Rachford-Forward Method. E. K. Ryu and Vu, Manuscript.
Scaled Relative Graph: Nonexpansive operators via 2D Euclidean Geometry. E. K. Ryu, R. Hannah, and W. Yin, Manuscript.
Operator Splitting Performance Estimation: Tight contraction factors and optimal parameter selection. E. K. Ryu, A. B. Taylor, C. Bergeling, P. Giselsson, Manuscript.
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET. E. K. Ryu, S. Ko, and J.-H. Won, Manuscript. Code, Slides.
Linear Convergence of Cyclic SAGA. Y. Park, E. K. Ryu, Manuscript.
Uniqueness of DRS as the 2 Operator Resolvent-Splitting and Impossibility of 3 Operator Resolvent-Splitting. E. K. Ryu, Mathematical Programming Series A, 2019. Code, Slides, Video (Overview), Video (Proof of Theorem 1), Video (Proof of Theorem 2), Video (Proof of Theorem 3), Video (Proof of Theorem 4).
Douglas-Rachford Splitting and ADMM for Pathological Convex Optimization. E. K. Ryu, Y. Liu, and W. Yin, Manuscript. Code. Slides.
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications. E. K. Ryu, Y. Chen, W. Li, and S. Osher, SIAM Journal on Scientific Computing, 40(5), 2018. Code.
Cosmic Divergence, Weak Cosmic Convergence, and Fixed Points at Infinity. E. K. Ryu, Journal of Fixed Point Theory and Applications, 20(109), 2018.
Unbalanced and Partial L1 Monge-Kantorovich Problem: A Scalable Parallel First-Order Method. E. K. Ryu, W. Li, P. Yin, and S. Osher, Journal of Scientific Computing, 75(3), 2018, Slides.
A New Use of Douglas-Rachford Splitting for Identifying Infeasible, Unbounded, and Pathological Conic Programs. Y. Liu, E. K. Ryu, and W. Yin, Mathematical Programming Series A, 2018.
Convex Optimization for Monte Carlo: Stochastic Optimization for Importance Sampling. E. K. Ryu, Stanford University PhD thesis, Advisor: Stephen P. Boyd, 2016.
A Primer on Monotone Operator Methods. E. K. Ryu and S. Boyd, Applied and Computational Mathematics an International Journal, 15(1), 2016.
Risk-Constrained Kelly Gambling. E. Busseti, E. K. Ryu, and S. Boyd, Journal of Investing, 25(3), 2016.
Extensions of Gauss Quadrature via Linear Programming. E. K. Ryu and S. Boyd, Foundations of Computational Mathematics, 15(4):953–971, 2015.
Computing Reaction Rates in Bio-molecular Systems Using Discrete Macro-states. E. Darve and E. K. Ryu. In T. Schlick, editor, Innovations in Biomolecular Modeling and Simulations. Royal Society of Chemistry, 2012.
Structural Characterization of Unsaturated Phosphatidylcholines Using Traveling Wave Ion Mobility Spectrometry. H. Kim, H. Kim, E. Pang, E. K. Ryu, L. Beegle, J. Loo, W. Goddard, and I. Kanik. Analytical Chemistry, 2009.
PhD, Computational and Mathematical Engineering, Stanford, 2010–2016.
Advisor: Stephen P. Boyd
MS, Statistics, Stanford, 2010–2016.
BS with Honor, Physics and Electrical Engineering, Caltech, 2010.
Gene Golub Best Thesis Award, 2016.
Simons Math+X Graduate Fellowship, 2012–13, 14–15, and 15–16.
DOE Office of Science Graduate Fellowship (SCGF), 2010–13.
NASA Tech Brief Award, 2011.
Caltech Upper Class Merit Award, 2008.
Erdös number: 3 (Stephen Boyd → Persi Diaconis → Paul Erdös)