This repository contains the implementation and experiments for my MSc Data Science thesis on Exploration of Accelerated Stochastic Gradient Methods for Least Squares Problems. It includes Python ...

We have formalized the paper "Bounding the Sum of Supports in the Transient of Accelerated Proximal Gradient via a Margin Parameter". The main results are: 1. `sum_support_transient`: Bounds the sum ...

Abstract: This paper presents a novel Nesterov accelerated gradient-based fixed-time convergent actor-critic (NAG-FxT-AC) scheme for the optimal control of nonlinear systems. The proposed approach ...

Abstract: Most distributed optimization methods used for distributed model predictive control (DMPC) are gradient based. Gradient based optimization algorithms are known to have iterations of low ...

Everyone is welcome to attend the N&O seminar by Sebastian Pokutta with the title 'Locally Accelerated Conditional Gradients'. Abstract: Conditional gradient methods form a class of projection-free ...

ABSTRACT: Proximal gradient descent and its accelerated version are resultful methods for solving the sum of smooth and non-smooth problems. When the smooth function can be represented as a sum of ...