Completed
Interpolation and adversarial examples
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
From Classical Statistics to Modern Machine Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Supervised ML
- 3 Generalization bounds
- 4 Classical U-shaped generalization curve
- 5 Does interpolation overfit?
- 6 Interpolation does not overfit even for very noisy data
- 7 Deep learning practice
- 8 Generalization theory for interpolation?
- 9 A way forward?
- 10 Interpolated k-NN schemes
- 11 Interpolation and adversarial examples
- 12 "Double descent" risk curve
- 13 what is the mechanism?
- 14 Double Descent in Linear regression
- 15 Occams's razor
- 16 The landscape of generalization
- 17 where is the interpolation threshold?
- 18 Optimization under interpolation
- 19 SGD under interpolation
- 20 The power of interpolation
- 21 Learning from deep learning: fast and effective kernel machines
- 22 Important points
- 23 From classical statistics to modern ML
