In this course we will study several techniques developed in the last 30 years to sample from sophisticated probability distributions
of exponential size. Approximately half of the course will focus on classical techniques and the second half will study more recent developments.
Lecture | Topic | Notes | Bonus Materials |
Lecture 1 (09/25/24) | Equivalence of Counting and Sampling | pdf | |
Lecture 2 (09/30/24) | Markov chains Intro, Metropolis Rule, Glauber Dynamics and Fundamental Theorem of Markov chains | pdf | |
Lecture 3 (10/02/24) | Introduction to Coupling | pdf | |
(10/07/24) No Lecture: Instructor is traveling |
Lecture 4 (10/09/24) | Graph Coloring | pdf | |
Lecture 5 (10/14/24) | Functional Analysis of Markov Chains | pdf | |
Lecture 6 (10/16/24) | Canonical Path method and applications | pdf | |
Lecture 7 (10/21/24) | Sampling from the Ising Model | pdf | |
Lecture 8 (10/23/24) | Lower Bounds on Mixing Time | pdf | |
Lecture 9 (10/28/24) | Spectral Independence | pdf | |
Lecture 10 (10/30/24) | Spectral Independence Continued | | |
Lecture 11 (11/04/24) | Correlation decay and Sampling from the Hardcore Model | | |
Lecture 12 (11/06/24) | Entropic Independence and Near Linear time algorithm for the Hardcore Model | |
(11/11/24) No Lecture: Veternas Day |
Lecture 13 (11/13/24) | Trickledown Theorems | | |
Lecture 14 (11/18/24) | Intro to Real Stable Polyns | | |
Lecture 15 (11/20/24) | Matroids and Log Concave Polynomials | | |
Lecture 16 (11/25/24) | Stochastic Localization schemes | | |
(11/27/24) No Lecture: Thanksgiving day |
Lecture 17 (12/03/24) | Cluster Expansion | | |
Lecture 18 (12/05/24) | | | |