Completed
Intro
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Privacy, Stability, and Online Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Motivating Questions
- 3 Non-Private Classification
- 4 Example: Learning 1-Dim Thresholds Space of examples X - 7 - 1....I
- 5 Sample Complexity of Learning Rest of this talk: Fix learning parameters a = 0.01,49 = 0.01 Learning Thresholds: Possible with a number of samples n = 0(1) independent of T
- 6 Sample Complexity of Private Learning
- 7 Characterizing Private Sample Complexit
- 8 Characterizing Private Learnability
- 9 Online Learning / Littlestone Dimension
- 10 Mistake Bounded Learning vs. DP
