Project Grant 2309802
- This three-year, $260,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund research towards designing optimal statistical learning procedures through precise medium-dimensional asymptotic analysis. The grantee, Columbia University, will develop a novel analytical framework to quantitatively characterize the performance of diverse learning algorithms and provide guidance on...
- The Trustees of Columbia University in the City of New York (Columbia University) was awarded a $394,840 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research into advancing the mathematical and algorithmic development of nonlocal models involving finite-range nonlocal interactions through July 2026. Specifically, Columbia University will focus on analytical and algorithmic solutions for nonlocal problems...
- This Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $641,284 to The Trustees of Columbia University in New York from September 1, 2021 through August 31, 2025. The grant supports Columbia University's "COLLABORATIVE RESEARCH: FRAMEWORKS: SEISMIC COMPUTATIONAL PLATFORM FOR EMPOWERING DISCOVERY" project. This project aims to advance the development...
- Columbia University was awarded a $120,929 project grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund collaborative research on statistical inference methods for high-dimensional spatial-temporal process models from July 1, 2021 to June 30, 2024. As part of the Mathematical and Physical Sciences program's goal of advancing scientific knowledge and understanding of national...
- The Trustees of Columbia University in the City of New York (Columbia University) was awarded a $329,639 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant funds the development of novel statistical methodology to model, analyze, and predict the evolution of geometric and topological features in random objects over time. Columbia University researchers will establish...
- The Columbia University was awarded a $100,000 Project Grant from the National Science Foundation Division of Computer and Network Systems on October 1, 2021 to be completed by September 30, 2022. The grant supports research under the Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing and information sciences through investigator-initiated research and cyberinfrastructure development. Specifically, the Columbia University will conduct...
- The Trustees of Columbia University in New York City received a $499,756 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070) to support investigator-initiated research and education across computing, communications, and information science and engineering fields. Specifically, the October 1, 2021 award will fund research into "New...
- Columbia University has been awarded a three-year $300,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop nonparametric testing methods for multivariate and Hilbert space-valued data. Specifically, the university will create a distribution-free statistical inference framework for multivariate data that generalizes univariate rank-based methods. Researchers will also study the asymptotic relative efficiency of nonparametric...
- This three-year, $359,998 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund the development of statistical and computational tools for analyzing high-dimensional heterogeneous data. Specifically, the awardee, Columbia University, will create new methodologies for clustering and identifying latent structures in complex data involving multiple attributes and relationships. The research has three parts. The first will develop...
- The National Science Foundation (NSF) awarded a $195,479 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The Trustees of Columbia University in the City of New York. The grant supports the development of new statistical machine learning approaches and theory, termed "minipatch learning", to analyze massive and complex datasets commonly found in domains like biomedicine, genomics, and neuroscience. The project aims to enable faster computation and...
Columbia University has been awarded a three-year $409,510 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop a computational framework integrating partial differential equation-based modeling with machine learning techniques to improve medical and seismic imaging algorithms. Specifically, the university will couple offline and online reconstruction methods through a novel weighted optimization strategy incorporating optimal transport theory to more efficiently approximate inverse operators. They will also train neural networks to learn dominant components of inverse problems and utilize the approximate inverses to enhance iterative solvers. The grant supports research into stability analysis of inverse problem components, a general computational coupling approach, and characterizing the impact of learning uncertainty. An education component includes internships and research opportunities for students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $409.5k | 5/30/23 |