Statistical estimation
S&DS Colloquium: Thuy-Duong “June” Vuong (Miller Institute, Berkeley), “Efficiently learning and sampling from multimodal distributions using data-based initialization”
Abstract: Learning to sample is a central task in generative AI: the goal is to generate (infinitely many more) samples from a target distribution $\mu$ […]
S&DS Seminar: Jelena Bradic (UCSD), “Dynamic causal inference under model misspecification”
Abstract: Estimating dynamic treatment effects is essential across various disciplines, offering nuanced insights into the time-dependent causal impact of interventions. However, this estimation presents […]
S&DS Seminar: Adityanand Guntuboyina (Berkeley), “Multivariate nonparametric regression using mixed partial derivatives”
Information and Abstract: I will describe methods for multivariate nonparametric estimation based on constraining mixed partial derivatives. The resulting estimators are efficiently computable and work well in practice. […]
Page 1 of 1
