YoVDO

Bilevel Optimization Problems: Algorithms and Theory

Offered By: Erwin Schrödinger International Institute for Mathematics and Physics (ESI) via YouTube

Tags

Optimization Algorithms Courses Data Science Courses Machine Learning Courses Complexity Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore recent developments in bilevel optimization problems through this 25-minute conference talk delivered by Shoham Sabach at the Erwin Schrödinger International Institute for Mathematics and Physics (ESI). Gain insights into the algorithms and theoretical convergence/complexity analysis of bilevel optimization, which has garnered significant attention in the optimization community due to its crucial applications in machine learning and data science. Discover the current challenges and open problems in this field as part of the "One World Optimization Seminar in Vienna" workshop held at ESI. Delve into the growing importance of bilevel optimization and its impact on advancing computational techniques in various scientific domains.

Syllabus

Shoham Sabach - Bilevel Optimization Problems: Algorithms and Theory


Taught by

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent