Event Date
Speaker: Aditya Guntoboyina, Associate Professor, Department of Statistics, UC Berkeley
Title: "Multivariate nonparametric regression using mixed partial derivatives"
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. They are also theoretically attractive when the underlying assumptions are satisfied, achieving rates of convergence that avoid the usual curse of dimensionality. Specific examples of this methodology include: MARS via LASSO, totally convex regression, Hardy-Krause variation constrained regression, and Entirely Monotonic Regression. Most of this presentation is based on joint work with Dohyeong Ki.
Speaker's website (links to UC Berkeley): https://www.stat.berkeley.edu/~aditya/
UC BERKELEY / UC DAVIS JOINT COLLOQUIUM, 2024
Every year the Statistics departments of UC Berkeley and UC Davis continue their spirit of cooperation by co-organizing a colloquium in the spring. Each campus takes turn in hosting a speaker from the other campus and are joined by faculty and students from that department. This year is Davis's turn to host, and we welcome our friends from UC Berkeley who will visit us.
DATE/TIME: Wednesday March 20, 2024, at 4:10pm (exact details TBC)
Location: MSB 1147. Refreshments at 3:30pm.