Center for Targeted Machine Learning and Causal Inference (CTML) Seminar Series
The CTML Seminar Series is a weekly, one-hour seminar held during the Fall and Spring semesters. The series serves as a central forum for CTML researchers to share ideas, discuss emerging work, and foster collaboration. Our goal is to empower every CTML researcher to become a skilled, confident presenter and leader. Through the seminar series, we support the professional development of our trainees by providing opportunities to communicate their research, receive constructive feedback, engage in scholarly...
Continuing our CTML Seminar Series is CTML GSR Yilong Hou! He will be discussing "Highly Adaptive Lasso Log-Splines for Univariate Density Estimation." This seminar will take place on Thursday, September 10 at 11:00 AM in Berkeley Way West, 5th Floor, Room 5401.
Abstract: Highly Adaptive Lasso is a powerful nonparametric method with pointwise asymptotic normality and uniform convergence. We use it for univariate density estimation as a log-spline method: the log-density is expanded in a truncated-power basis and a variation budget becomes an ℓ1-constrained MLE. We...
Join us on September 2nd to kick off our Fall 2026 CTML Seminar Series! Anna Menacher, Lead Scientist at Novo Nordisk, will start our series with her talk "Causal Inference in Pharma: Open Problems and Opportunities." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.
Abstract: Causal inference plays an increasingly important role across pharmaceutical research, but many practically important questions remain methodologically challenging. In this talk, I will share a...
