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A real-time optimal inverse planning for Gamma Knife radiosurgery by convex optimization: description of the system and first dosimetry data

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Learning without Smoothness and Strong Convexity

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

Convex Optimization using Sparsified Stochastic Gradient Descent with Memory

Designing Gabor windows using convex optimization

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Learning with Structured Sparsity: From Discrete to Convex and Back.

A real-time optimal inverse planning for Gamma Knife radiosurgery by convex optimization: description of the system and first dosimetry data

Designing Gabor windows using convex optimization

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Learning with Structured Sparsity: From Discrete to Convex and Back.

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Learning without Smoothness and Strong Convexity

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

Convex Optimization using Sparsified Stochastic Gradient Descent with Memory

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance