Lecture

Introduction to Proximal Operators

Description

This lecture covers the introduction to proximal operators and conditional gradient methods in the context of composite convex minimization problems. It discusses the mathematics behind data optimization, focusing on sparse regression, inverse covariance estimation, and graphical model selection. The lecture explores the theoretical foundations and practical applications of proximal-gradient algorithms, emphasizing computational efficiency and convergence guarantees.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.