The National Science Foundation Division of Computing and Communication Foundations awarded a $313,582 Project Grant to the Regents of the University of California, doing business as the University of California, Berkeley, to support research exploring the relationship between computational problem structure and algorithmic efficiency. Specifically, the six-month award beginning March 1, 2022 will investigate the existence of "polymorphic principles" that allow for efficient algorithms...
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 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 (NSF), through its Division of Mathematical Sciences, awarded a $225,000 Project Grant to The Leland Stanford Junior University (Stanford University) to develop new algorithms for Bayesian computation. The grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), aims to address challenges in Bayesian inference for complex statistical models, such as hidden Markov models with continuous variables and models with intractable likelihood...
The National Science Foundation awarded The Regents of the University of California $330,000 under the Mathematical and Physical Sciences program (CFDA 47.049) to advance theory and methodology for tree-based algorithms in high dimensions from July 2022 to June 2025. The project will analyze the generalization performance of tree-based algorithms on regression models to better understand their inductive bias for different data structures. It will also study a new framework for obtaining...
This National Science Foundation Project Grant of $220,000 supports research into statistical modeling methods for large, complex datasets. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the University of California, San Francisco will develop new Bayesian regression techniques using random data compression matrices. These approaches aim to enable efficient, scalable inference and prediction from high-dimensional biomedical data sources like brain imaging, genetics,...
The Regents of the University of California, Berkeley was awarded a $882,373 Project Grant by the National Science Foundation (NSF) Division of Computing and Communication Foundations under the CFDA Program 47.070 "Computer and Information Science and Engineering". The funding supports research exploring quantum algorithms, complexity, testing, and benchmarking, including efforts to develop primitives for benchmarking near-term quantum computers and foundational work on the...
The National Science Foundation (NSF) awarded a $170,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of California, Berkeley. The grant will fund research on problems in descriptive set theory and computability, with applications in areas such as topological dynamics, operator algebras, and ergodic theory. Key components of the project include studying amenability and hyperfiniteness, investigating classical geometric paradoxes using...
The National Science Foundation awarded a 3-year, $300,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Regents of the University of California, Berkeley. The grant funds the development of a software infrastructure to facilitate the use of two cutting-edge Bayesian sampling methods - Preconditioned Optimized Convex Monte Carlo (POCOMC) and Microcanonical Hamiltonian Monte Carlo - by a range of scientists across disciplines such as astronomy, physics,...
The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a $599,629 Project Grant to the Regents of the University of California, doing business as the University of California, Berkeley, under the NSF's Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of this 3-year award is to develop a sophisticated methodology and framework for conducting N-of-1 experimental trials, which aim to determine the effects of interventions...