Uploaded July 2026 | Updated September 2026, 2 weeks ago
In this lecture I give an overview of the goals, topics, and structure to be presented in the Optimization Bootcamp lecture series.
amazon.com/Optimization-Bootcamp-Machine-Learning-Problems/dp/1009755862
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company.
%%% CHAPTERS %%%
00:00 Intro
01:01 What is an Optimization Problem?
03:10 Applications of Optimization
07:52 Properties of the Objective & Constraint Functions
11:30 Convexity & Optimization
13:45 Linear & Quadratic Programming
15:51 Non-Convex Optimization
16:49 Series Overview & Structure
21:34 Outro
In this lecture I give an overview of the goals, topics, and structure to be presented in the Optimization Bootcamp lecture series.
amazon.com/Optimization-Bootcamp-Machine-Learning-Problems/dp/1009755862
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company.
%%% CHAPTERS %%%
00:00 Intro
01:01 What is an Optimization Problem?
03:10 Applications of Optimization
07:52 Properties of the Objective & Constraint Functions
11:30 Convexity & Optimization
13:45 Linear & Quadratic Programming
15:51 Non-Convex Optimization
16:49 Series Overview & Structure
21:34 Outro
![Neural ODEs (NODEs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/nJphsM4obOk/mqdefault.jpg "Neural ODEs (NODEs) [Physics Informed Machine Learning]
This video describes Neural ODEs, a powerful machine learning approach to learn ODEs from data.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
02:09 Background: ResNet
05:05 From ResNet to ODE
07:59 ODE Essential Insight/ Why ODE outperforms ResNet
// 09:05 ODE Essential Insight Rephrase 1
// 09:54 ODE Essential Insight Rephrase 2
11:11 ODE Performance vs ResNet Performance
12:52 ODE extension: HNNs
14:03 ODE extension: LNNs
14:45 ODE algorithm overview/ ODEs and Adjoint Calculation
22:24 Outro")
