Forbes

What Are Some Recent Advances In Non-Convex Optimization Research?

What are some recent advances in non-convex optimization research? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights.
GitHub

Convergence Analysis of Perturbed Stochastic Gradient Descent in Non-Convex Landscapes

A comprehensive implementation and analysis of Enhanced Perturbed Stochastic Gradient Descent (PSGD) for escaping saddle points in non-convex optimization landscapes. Where ℓ is the smoothness ...
JSTOR Daily

Solving an optimization packing problem of circles and non-convex polygons with rotations into a multiply connected region

This paper deals with the packing problem of circles and non-convex polygons, which can be both translated and rotated into a strip with prohibited regions. Using the Ф-function technique, a ...
IEEE

Sparsity-Enhanced Multilayered Non-Convex Regularization with Epigraphical Relaxation for Debiased Signal Recovery

Abstract: This paper proposes a precise signal recovery method utilizing a composition of multiple non-convex regularization functions, termed multilayered non-convex regularization functions, to ...
Harvard Business School

Oracle Efficient Private Non-Convex Optimization

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 ...
IEEE

Enhanced Control of Nonlinear Cyber-Physical Systems: A Higher-Order Relaxation Matrix-Based Convex Optimization Algorithm

Abstract: This paper investigates the static output feedback (SOF) control problem of T-S fuzzy systems based on higher-order Lyapunov functions (HO-LFs). Firstly, to alleviate the conservatism of ...