Ryan Tibshirani
Research
Software
Teaching
Group
Other
Teaching
UC Berkeley
Fall 2024:
Introduction to Time Series (Stat 153)
Spring 2024:
Advanced Topics in Statistical Learning (Stat 241B)
Fall 2023:
Introduction to Time Series (Stat 153)
Spring 2023:
Advanced Topics in Statistical Learning (Stat 241B)
Carnegie Mellon
Fall 2021:
Statistical Computing (36-350)
Fall 2019:
Statistical Computing (36-350)
Fall 2019:
Convex Optimization (10-725)
Fall 2018:
Statistical Computing (36-350)
Fall 2018:
Convex Optimization (10-725)
Spring 2018:
Statistical Computing (36-350)
Spring 2017:
Statistical Machine Learning (10-702)
, with Larry Wasserman
Fall 2016:
Statistical Computing (36-350)
Fall 2016:
Convex Optimization (10-725)
, with Javier Pena
Fall 2015:
Statistical Computing (36-350)
Fall 2015:
Convex Optimization (10-725)
Spring 2015: Statistical Machine Learning (10-702), with Larry Wasserman
Spring 2015:
Convex Optimization (10-725)
Fall 2014:
Statistics Journal Club (36-825)
, with Rob Tibshirani
Spring 2014:
Advanced Methods for Data Analysis (36-402)
Spring 2014: Statistical Machine Learning (10-702), with Larry Wasserman
Fall 2013:
Convex Optimization (10-725)
, with Barnabas Poczos
Spring 2013:
Data Mining (36-462)
Fall 2012:
Optimization (10-725)
, with Geoff Gordon
Spring 2012: Data Mining (36-462)
Fall 2011: Modern Regression (36-401), with Rebecca Nugent
Fall 2011: Statistics Journal Club (36-825), with Rob Kass