Search Results for author:
Found 2 papers, 1 papers with code
Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
We consider the problem of localizing change points in high-dimensional linear regression.
Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints
The main objective of this paper is to sequentially pose intelligent queries to occupants in order to optimally learn the indoor air temperature values which maximize their satisfaction.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
