ADSI Summer Workshop- Algorithmic Foundations of Learning and Control, Pablo Parrilo
Paul G. Allen School via YouTube
Overview
Syllabus
Intro
Why do we care
Optimal transport matrix scaling
Control entrywise errors
Three key ideas
Approximation with polynomials
Computing a change of expansions
Plane wave expansion
Plane wave expansion summary
Sustainment
Modern quadratic factor
Summary
Harmonic Polynomials
Product Space of Feature
Empirical Results
Methods
Linear Classification
Conclusion
Taught by
Paul G. Allen School