Tuesday January 16Introduction and Review
ThursdayJanuary 18Density Estimation
Friday January 19
Tuesday January 23Nonparametric Regression
ThursdayJanuary 25Nonparametric Regression
Friday January 26
Tuesday January 30Nonparametric Classification
ThursdayFeb 1 Random Forests
Friday Feb 2 HOMEWORK 1 DUE
Tuesday Feb 6 High-dimensional Regression
ThursdayFeb 8 High-dimensional Regression
Friday Feb 9 PROJECT PROPOSAL DUE
Tuesday Feb 13 High Dimensional Classification
ThursdayFeb 15 Clustering
Friday Feb 16
Tuesday Feb 20 Clustering
ThursdayFeb 22 Graphical Models
Friday Feb 23 HOMEWORK 2 DUE
Tuesday Feb 27 Graphical Models
ThursdayMarch 1 Causality
Friday March 2
Tuesday March 6 Causality
ThursdayMarch 8 TEST
Friday March 9
Tuesday March 13SPRING BREAK
ThursdayMarch 15SPRING BREAK
Friday March 16SPRING BREAK
Tuesday March 20Minimax Theory
ThursdayMarch 22Minimax Theory
Friday March 23
Tuesday March 27Mixture Models
ThursdayMarch 29Nonparametric Bayes
Friday March 30HOMEWORK 3 DUE
Tuesday April 3 Multinomials
ThursdayApril 5 Differential Privacy
Friday April 6 PROGRESS REPORT DUE
Tuesday April 10 Deep Learning
ThursdayApril 12 Wasserstein Distance and Optimal Transport
Friday April 13
Tuesday April 17 Dimension Reduction
ThursdayApril 19 GUEST LECTURE
Friday April 20 HOMEWORK 4 DUE
Tuesday April 24 High-dimensional Two Sample Testing
ThursdayApril 26 GUEST LECTURE
Friday April 27
Tuesday May 1Interactive Data Analysis
ThursdayMay 3Interactive Data Analysis
Friday May 4FINAL PROJECT DUE