YoVDO

Towards a Theory of Non-Commutative Optimization - Geodesic First and Second Order Methods for Moment Maps

Offered By: IEEE via YouTube

Tags

Optimization Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 23-minute IEEE conference talk delving into the development of non-commutative optimization theory, focusing on geodesic first and second-order methods for moment maps. Join speakers Peter Bürgisser, Cole Franks, Ankit Garg, Rafael Oliveira, Michael Walter, and Avi Wigderson as they present their research findings and insights on this complex mathematical topic.

Syllabus

Towards a theory of non commutative optimization: geodesic 1st and 2nd order methods for moment maps


Taught by

IEEE FOCS: Foundations of Computer Science

Tags

Related Courses

Deep Learning for Natural Language Processing
University of Oxford via Independent
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI via Coursera
Deep Learning Part 1 (IITM)
Indian Institute of Technology Madras via Swayam
Deep Learning - Part 1
Indian Institute of Technology, Ropar via Swayam
Logistic Regression with Python and Numpy
Coursera Project Network via Coursera