The National Science Foundation (NSF) awarded a $122,184 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Regents of the University of California, Berkeley to develop innovative exploratory data analysis tools for non-Euclidean and functional data objects. The key products to be delivered include new data depth notions to robustly quantify the centrality of complex, high-dimensional data points, and associated visualization and outlier detection methods....
The Regents of the University of California, doing business as the University of California, Berkeley, was awarded a $249,563 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program. The grant will fund a three-year collaborative research project from July 2021 to June 2024 to develop graphical modeling techniques for multivariate functional data. The Computer and Information Science and Engineering program supports...
The National Science Foundation awarded $150,000 to Regents of the University of California at Riverside under the Mathematical and Physical Sciences program (CFDA 47.049) from July 1, 2023 to June 30, 2026. The Project Grant funding will support research to develop new statistical methodologies and deep learning techniques for uniformly estimating causal effects of continuous treatments using large observational health data sets. Specifically, the university will design neural network...
The University of California, Davis was awarded a $335,849 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop advanced statistical methodology for analyzing complex data in metric spaces from July 1, 2023 to June 30, 2026. Specifically, UC Davis will conduct research to establish regression models, testing and estimation methods, and computational tools for statistical analysis of random objects that take values in...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
The National Science Foundation awarded a $249,999 Project Grant to the University of Southern California under the Mathematical and Physical Sciences program (CFDA 47.049) from August 2023 through July 2026. The grant funds theoretical and applied research to advance understanding of random forest machine learning techniques. The university will study when and why random forests perform well or fail, with the goal of providing practitioners more confidence and guidance in application....
The National Science Foundation (NSF) awarded a $299,756 Project Grant under the Mathematical and Physical Sciences (CFDA No. 47.049) federal grant program to the Regents of the University of California, doing business as the University of California, Berkeley (UC Berkeley). The grant, with a performance period from August 1, 2024 to July 31, 2027, will support a theoretical study to address different aspects of fine-tuning and transfer learning for deep learning models, with a focus on...
The Regents of the University of California, doing business as University of California, Berkeley, received a $483,663 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support research from June 15, 2023 through May 31, 2026 to develop theoretically grounded algorithms and analyze sample complexity for partially observable...
The National Science Foundation (NSF) awarded a $599,337 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Regents of the University of California, doing business as the University of California, Berkeley. The award supports research to investigate Bayesian estimation and constraint satisfaction problems, with a focus on determining the minimum number of observations needed to efficiently infer hidden quantities using powerful algorithmic...
The National Science Foundation Division of Mathematical Sciences awarded $299,997 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to the University of California, Davis for a three-year project grant completing June 2025. The award will support research involving the development of new statistical testing methods and deep learning techniques for functional data analysis. Specifically, the university will conduct research projects to create a general framework...