What are some recent advances in non-convex optimization research? This question was originally answered on Quora by Anima Anandkumar.

IEEE Transactions on Signal Processing (2023). [2] A Generalized Projection-Based Scheme for Solving Convex Constrained Optimization Problems. Computational Optimization and Applications (2018).

Researchers from SJTU have developed a convex-optimization-based quantum process tomography method for reconstructing quantum channels, and have shown the validity to seawater channels and general ...

We synthesize a dual optimization problem and establish a set of optimality relations, similar to the Euler-Lagrange and transversality relations of calculus of variations, giving necessary and ...

The portfolio optimization model has limited impact in practice because of estimation issues when applied to real data. To address this, we adapt two machine learning methods, regularization and cross ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...