Assignment	Topic	Problems	Due date
Assignment 1	Classical problems	1.2	January 23
Assignment 2	Large-scale testing	[pdf]	February 11
Assignment 3	Ridge regression	1.8, 1.10, 1.11	February 18
Assignment 4	The lasso	2.3: Unique lasso predictions	March 6
		2.6: Coordinate descent algorithm
		2.8: WHO analysis, lasso
		2.9: Sim, ridge/lasso/forward
Assignment 5	Bias reduction	3.1: Two-stage adaptive lasso	March 18
		3.2(b): Thresholding for SCAD
		2.7: Degrees of freedom, lasso
		3.3: Degrees of freedom, MCP
		3.7: Simulation, ridge/lasso/MCP
		3.9: Exponential penalty
		3.10: Carbotax analysis, MCP
Assignment 6	Stability	4.2: Grouping property for the elastic net	April 8
		4.5: Analysis of Bardet-Biedl Syndrome data
Assignment 7	Theory and inference	5.1: Gaussian tail bound	April 29
		5.3: Prediction bound under RE condition
		6.1: Conditional distribution for random knockoffs
		6.2: Selective inference in the p=2 case
		6.3: HIV drug resistance study
Assignment 8	Logistic/group lasso	10.1: Logistic regression: Score and Hessian	May 6
		10.2: Quadratic approximation to loss functions
		13.1: Group lasso analysis of leukemia data