Tuesday  January 16  Introduction and Review 
Thursday  January 18  Density Estimation 
Friday  January 19  

Tuesday  January 23  Nonparametric Regression 
Thursday  January 25  Nonparametric Regression 
Friday  January 26  

Tuesday  January 30  Nonparametric Classification 
Thursday  Feb 1  Random Forests 
Friday  Feb 2  HOMEWORK 1 DUE 

Tuesday  Feb 6  Highdimensional Regression 
Thursday  Feb 8  Highdimensional Regression 
Friday  Feb 9  PROJECT PROPOSAL DUE 

Tuesday  Feb 13  High Dimensional Classification 
Thursday  Feb 15  Clustering 
Friday  Feb 16  

 

Tuesday  Feb 20  Clustering 
Thursday  Feb 22  Graphical Models 
Friday  Feb 23  HOMEWORK 2 DUE 

Tuesday  Feb 27  Graphical Models 
Thursday  March 1  Causality 
Friday  March 2  

Tuesday  March 6  Causality 
Thursday  March 8  TEST 
Friday  March 9  

Tuesday  March 13  SPRING BREAK 
Thursday  March 15  SPRING BREAK 
Friday  March 16  SPRING BREAK 

Tuesday  March 20  Minimax Theory 
Thursday  March 22  Minimax Theory 
Friday  March 23  


Tuesday  March 27  Mixture Models 
Thursday  March 29  Nonparametric Bayes 
Friday  March 30  HOMEWORK 3 DUE 

Tuesday  April 3  Multinomials 
Thursday  April 5  Differential Privacy 
Friday  April 6  PROGRESS REPORT DUE 

Tuesday  April 10  Deep Learning 
Thursday  April 12  Wasserstein Distance and Optimal Transport 
Friday  April 13  

Tuesday  April 17  Dimension Reduction 
Thursday  April 19  GUEST LECTURE 
Friday  April 20  HOMEWORK 4 DUE 

Tuesday  April 24  Highdimensional Two Sample Testing 
Thursday  April 26  GUEST LECTURE 
Friday  April 27  


Tuesday  May 1  Interactive Data Analysis 
Thursday  May 3  Interactive Data Analysis 
Friday  May 4  FINAL PROJECT DUE 




