Theoretical Machine Learning (Fall 2024)

  • Schedule is subject to small adjustments.

  • Lecture notes will be posted before each lecture (and might be updated slightly soon after the lecture).

Date Topics Lecture Notes and Recommended Reading
08/30 Introduction, statistical learning, online learning
no free lunch theorem, online-to-batch conversion
Lecture notes 1
Sections 3-5 of R&S
09/06 Uniform convergence, Rademacher complexity, finite class
Classification: growth function, VC dimension, Sauer's lemma
Lecture notes 2
09/13 Regression: covering number, Dudley entropy integral
chaining technique, Pseudo-dimension
Lecture notes 3
Sections 12.4 and 12.9 of R&S
09/20 Regression: fat-shattering dimension
Case study on neural nets: dimension-independent covering number
spectral complexity, margin
Lecture notes 4
Section 12.8 of R&S
Proof for bounding covering number with fat-shattering dimension
Zhang-Bengio-Hardt-Recht-Vinyals’17
Bartlett-Foster-Telgarsky’17
09/27 Online learning: empirical process with dependent data
sequential Rademacher complexity, finite class bound
Online classification: zero-covering number
Lecture notes 5
Section 13.5 of R&S
10/04 Online classification: Littlestone dimension
Online regression: covering number, chaining, fat-shattering dimension
Online algorithms for finite classes: Halving and Hedge
Lecture notes 6
Section 14.5 of R&S
10/11 Fall Recess
10/18 Online algorithms for infinite classes with bounded Littlestone dimension
Perceptron, Online Convex Optimization
Follow-the-Regularized-Leader
Lecture notes 7
More on OCO and FTRL from this note
10/25 From values to algorithms
Learning with partial information, multi-armed bandits
EXP3, Explore-then-Exploit
Lecture notes 8
Proposition 22.2, Sections 22.1.2, 22.2 and 23 of R&S
11/01 UCB, Lower bound for multi-armed bandits
Partial monitoring: classification theorem
Lecture notes 9
Sections 37.1-37.3 of L&S
11/08 Partial monitoring: algorithms and lower bounds Lecture notes 10
The ‘‘Exploration by Optimization’’ paper by L&S
Sections 37.4-37.9 of L&S
11/15 Student presentations
11/22 Student presentations
11/29 Thanksgiving
12/06 Student presentations