Unbalanced and Partial L1 Monge-Kontorovich Problem: A Scalable Parallel First-Order Method. Ernest K. Ryu, Wuchen Li, Penghang Yin, and Stanley Osher, Manuscript.
Cosmic Divergence, Weak Cosmic Convergence, and Fixed Points at Infinity. Ernest K. Ryu, Manuscript.
A Parallel Method for Earth Mover's Distance. Wuchen Li, Ernest K. Ryu, Stanley Osher, Wotao Yin, and Wilfrid Gangbo, To appear on Journal of Scientific Computing, 2017.
A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs. Y. Liu, E. Ryu, and W. Yin, Manuscript.
Convex Optimization for Monte Carlo: Stochastic Optimization for Importance Sampling. E. Ryu, Stanford University PhD thesis, 2016.
Adaptive Importance Sampling via Stochastic Convex Programming. E. Ryu and S. Boyd, Manuscript.
Stochastic Proximal Iteration: A Non-Asymptotic Improvement Upon Stochastic Gradient Descent. E. Ryu and S. Boyd, working draft.
A Primer on Monotone Operator Methods. E. Ryu and S. Boyd, Applied and Computational Mathematics an International Journal, 15(1), 2016.
Risk-Constrained Kelly Gambling. E. Busseti, E. Ryu, and S. Boyd, Manuscript.
Extensions of Gauss Quadrature via Linear Programming. E. 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. 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. Ryu, L. Beegle, J. Loo, W. Goddard, and I. Kanik. Analytical Chemistry, 2009.
Teaching assistant at Stanford University for:
Teaching assistant at California Institute of Technology for:
Other teaching assistant experience:
PhD, Computational and Mathematical Engineering, Stanford, 2010–2016.
BS with Honor, Electrical Engineering, Caltech, 2010.
BS with Honor, Physics, Caltech, 2010.