In the second part of the term we will learn a little bit about Conformal Prediction. Here is the schedule of presentations.

• March 23 – Vincent Vu: Introduction to Conformal Prediction
• March 30 – Haozhen Yu: Lei et al. (2018) “Distribution-Free Predictive Inference for Regression“
• April 6 – Xuerong Wang: Classification with conformal predictors (based on Chapter 3 of Algorithmic Learning in a Random World and Angelopoulos & Bates (2022) “A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification“)
• April 13 – Torey Hilbert & Meghna Karl: Barber et al. (2022) “Conformal Prediction Beyond Exchangeability“