The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

This is a preview. Log in through your library . Abstract The numerical success of the alternating direction method of multipliers (ADMM) inspires much attention in analyzing its theoretical ...

Scientists have recently made significant progress in the field of quantum technology, developing a series of efficient reconstruction techniques for bosonic states encoded in electromagnetic fields.

According to the latest information from the National Intellectual Property Administration, Hangzhou Dianzi University and Hangzhou Bashi Space Artificial Intelligence Information Technology Co., Ltd.

Mathematics of Operations Research, Vol. 42, No. 3 (August 2017), pp. 662-691 (30 pages) Recently, in He et al. [He BS, Tao M, Yuan XM (2012) Alternating direction method with Gaussian back ...

Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th ...