The National Science Foundation Division of Computing and Communication Foundations awarded $800,000 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of California, Berkeley for a four-year collaborative research project grant. The project aims to improve the sample efficiency of reinforcement learning algorithms in both offline and online settings through techniques like optimistic exploration and pessimistic exploitation. It...
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 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...
This $800,000 federal Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to the University of California, Berkeley is for a project titled "SLES: Certified Learning of Safety Certificates for Learning-Enabled Dynamic Systems". The key objectives are: (1) Learning safety certificates and their control policies, and (2) Certifying the learned system. The project aims to develop new techniques using deep learning to...
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 Regents of the University of California, doing business as the University of California, Berkeley, received a $317,452 project grant 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 grant will support the development of sketching algorithms for privacy and efficiency from 2023-2027. Sketching algorithms compress large datasets into smaller...
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...
The Regents of the University of California, doing business as University of California, Berkeley, received a three-year $600,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds the development of inclusive, interdisciplinary undergraduate data science curricula at the intersection of computer science and behavioral/social science. The project aims to create a cross-cutting data science...
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...
The Regents of the University of California, doing business as University of California, Berkeley, received a $315,393 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 will fund research from August 1, 2023 to July 31, 2026 to design, implement, and analyze a new stable algorithm for the tridiagonal eigenvector problem to advance numerical linear algebra. The...