Featured Events

2/11/26 Seminar: "Highly Adaptive Principal Component Regression: Fast HAL/HAR via Outcome-Blind Kernel PCA"

This week’s seminar brings another thought-provoking discussion! Join us on February 11th to hear from CTML GSR Mingxun (Michael) Wang presenting his talk on "Highly Adaptive Principal Component Regression: Fast HAL/HAR via Outcome-Blind Kernel PCA." The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.

Abstract: The Highly Adaptive Lasso (HAL) has strong rate guarantees under minimal smoothness assumptions, but can be computationally prohibitive in moderate to high dimensions due to its...

2/4/26 Seminar: "A Conformalized Inference on Unobservable Variables"

We’re pleased to welcome Toru Shirakawa, CTML GSR and CPH PhD Student, to next week’s CTML Seminar on Wednesday, February 4th, presenting on “A Conformalized Inference on Unobservable Variables.” The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.

Abstract: Quantifying uncertainty in predicted unobservable variables is a critical area of research in statistics, artificial intelligence, and empirical science. Most scientific studies assume a specific structure involving unobservable...

Spring 2026 CTML Seminar Series

CTML Seminar Series: Presentations and Resources
The following tables provide easy access to presenter information, research topics, and slide decks, making it a valuable resource for all members of the CTML community and anyone interested in the forefront of scientific inquiry.

CTML Seminar Series - Spring 2026 Syllabus

For accessibility accommodations, please contact Christina Da Silva at...