Seminar Details:

LANS Informal Seminar
"Dynamic Trees for Response Surface Learning and Optimization"

DATE: March 23, 2011

TIME: 15:00:00 - 16:00:00
SPEAKER: Robert Gramacy, Booth Business School
LOCATION: Bldg 240, 4301, Argonne National Laboratory

This talk presents a new response surface methodology, dynamic trees, for learning, optimization, and sequential design -- applications where Gaussian processes (GPs) have reigned supreme. Dynamic trees are thrifty on space and time: no need to store or invert big matrices. They are flexible: natively accommodating nonstationarity or heteroskedasticity. And they are inherently sequential, which means sequential design decisions (like for optimization) can be turned around quickly. Other benefits include the ability to deal with categorical predictors and responses, and to decompose partial dependencies by main, first order, and total effects. The talk will focus on the the dynamic tree methodology, inference by sequential Monte Carlo, and finally on design/optimization heuristics by active learning with illustrations. It will also highlight an R package implementing the methods, called dynaTree, which is available on CRAN. For more details see:


Please send questions or suggestions to Jeffrey Larson: jmlarson at anl dot gov.