Statistics 315a: Modern Statistical Learning

Brian Trippe, Stanford University, Winter 2026

Assignments and associated files will be released below. Solutions will be posted to Canvas.

Assignment	Due date
Homework 0	Monday, January 12
Homework 1, loan-train.csv, loan-testx.csv, mixturemeans.csv	Wednesday, January 21
Homework 2, cifar-processing.py, conformal-multiclass-starter.py	Wednesday, February 4
Homework 3, train-x.csv, train-y.csv, test-x.csv, mnist-experiments.py, beyond-gd-starter.py	Monday, February 23
Homework 4	Monday, March 9

Submissions are to be made by 11:59pm on the respective due dates.

Submission format

You are encouraged to use LaTeX to typeset your homework where approprirate. But handwritten and scanned homework is also okay. You are welcome (but not required) to use our latex templates. The LaTeX templates for EE364b are also nice.

Attribution

Some exercises are adapted from a collection of exercises written and curated by Professor John Duchi for Statistics 315A in past years. Other exercises are adapted from course by Rob Tibshirani, Trevor Hastie, and Scott Linderman.