YoVDO

Convex Optimization III - Sebastien Bubeck - Microsoft Research

Offered By: Paul G. Allen School via YouTube

Tags

Convex Optimization Courses

Course Description

Overview

Explore advanced concepts in convex optimization with Sebastien Bubeck from Microsoft Research in this comprehensive lecture. Delve into topics such as gradient oracles, the minimax principle and theorem, random oracles, and intuition behind antisymmetric lower bounds. Learn about general algorithms, inequalities, gradient queries, and efficient algorithms in the field of convex optimization. Gain valuable insights from this in-depth presentation, suitable for those with a strong background in optimization and mathematical analysis.

Syllabus

Intro
Gradient Oracle
Minimax Principle
Minimax Theorem
Random Oracle
Intuition
Antisymmetric
Lower Bounds
General Algorithm
Inequality
Gradient Queries
Efficient Algorithms


Taught by

Paul G. Allen School

Related Courses

Convex Optimization
Stanford University via edX
FA19: Deterministic Optimization
Georgia Institute of Technology via edX
Applied Optimization For Wireless, Machine Learning, Big Data
Indian Institute of Technology Kanpur via Swayam
Statistical Machine Learning
Eberhard Karls University of Tübingen via YouTube
Convex Optimization
NIOS via YouTube