Tuesday  January 15  Introduction and Review 
Thursday  January 17  Density Estimation 
Friday  January 18  

Tuesday  January 22  Nonparametric Regression 
Thursday  January 24  Nonparametric Regression 
Friday  January 25  

Tuesday  January 29  High Dimensional Regression 
Thursday  January 31  High Dimensional Regression 
Friday  Feb 1  HOMEWORK 1 DUE 

Tuesday  Feb 5  Highdimensional Regression 
Thursday  Feb 7  Classification 
Friday  Feb 8  PROJECT PROPOSAL DUE 

Tuesday  Feb 12  Classification 
Thursday  Feb 14  Clustering 
Friday  Feb 15  

 

Tuesday  Feb 19  Clustering 
Thursday  Feb 21  Graphical Models 
Friday  Feb 22  HOMEWORK 2 DUE 

Tuesday  Feb 26  Graphical Models 
Thursday  Feb 28  Graphical Models 
Friday  March 1  

Tuesday  March 5  Graphical Models 
Thursday  March 7  TEST 
Friday  March 8  

Tuesday  March 12  SPRING BREAK 
Thursday  March 14  SPRING BREAK 
Friday  March 15  SPRING BREAK 

Tuesday  March 19  Graphical Models 
Thursday  March 21  Causality 
Friday  March 22  


Tuesday  March 26  Minimax Theory 
Thursday  March 28  Minimax Theory 
Friday  March 29  HOMEWORK 3 DUE 

Tuesday  April 2  Nonparametric Bayes 
Thursday  April 4  Differential Privacy 
Friday  April 5  PROGRESS REPORT DUE 

Tuesday  April 9  Wasserstein Distance and Optimal Transport 
Thursday  April 11  Highdimensional Two Sample Testing 
Friday  April 12  

Tuesday  April 16  Dimension Reduction 
Thursday  April 18  GUEST LECTURE 
Friday  April 19  HOMEWORK 4 DUE 

Tuesday  April 23  Interactive Data Analysis 
Thursday  April 25  GUEST LECTURE 
Friday  April 26  


Tuesday  April 30  To be determined 
Thursday  May 2  To be determined 
Friday  May 3  FINAL PROJECT DUE 




