KAUST Research Workshop on Optimization and Big Data
Moscow Institute of Physics and Technology
Masheal Alghamdi (KAUST): Deep Learning for High Dynamic Range Imaging
Adel Bibi (KAUST): High Order Tensor Formulation for Convolutional Sparse Coding - Best KAUST poster award!
Xi He (Lehigh University): An Inexact Regularized Stochastic Newton Method for Nonconvex Optimization
Dmitry Kovalev (Moscow Institute of Physics and Technology): Stochastic Spectral Descent Methods
Nicolas Loizou (University of Edinburgh): Linearly Convergent Stochastic Heavy Ball Method for Minimizing Generalization Error
Steffen Maass (Georgia Institute of Technology): Mosaic: Processing a Trillion-Edge Graph on a Single Machine - Best poster award!
Bogdan Toader (University of Oxford): Sparse Non-Negative Super-Resolution: Simplified and Stabilised