Project Grant 2224246
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award of $600,000 to the Massachusetts Institute of Technology (MIT) supports research into developing better algorithms for machine learning problems that involve sequential data with rich dependency structures. The project will explore learning methods for linear dynamical systems, graphical models, and hidden Markov models, with the goal of proving rigorous theoretical...
- This Project Grant award of $160,673 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to combine algorithms and machine learning to improve decision-making under uncertainty. The project, led by New York University (NYU), will explore incorporating machine-learned predictions into algorithm design as well as developing learning models optimized for specific algorithmic objectives. This work aims to create a...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $599,986 to Stanford University for research titled "Machine Learning with Behavioral and Social Data." The five-year award beginning in August 2022 will support the development of new machine learning algorithms that model human decision-making descriptively based on behavioral data. The researcher aims to build on recent advances in modeling choices as driven by...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA Number 47.070, will support a $599,963 research project by the University of Southern California (USC) from January 1, 2025 to December 31, 2027. The project will explore a new mathematical lens based in combinatorics, optimization, and graph theory to deepen the understanding of machine learning and guide the development of improved algorithms. The...
- The National Science Foundation's Division of Information and Intelligent Systems awarded $454,115 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to Stanford University. The three-year Project Grant will support research to accelerate machine learning through the development of automated methods to clean data, reduce feature dimensionality, and recommend machine learning models using low-dimensional latent vectors. Principal Investigator will...
- 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 $349,427 CAREER grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research at The Leland Stanford Junior University (Stanford University) to develop machine learning (ML) techniques to improve the performance of discrete optimization algorithms. The project aims to address challenges in efficiently solving complex combinatorial optimization problems, such as those encountered in supply chain logistics and...
- This $600,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program will support research at Stanford University toward developing a mathematical foundation for deep reinforcement learning. Over four years, the grant will fund three research thrusts investigating the types of guarantees achievable by reinforcement learning policies under different problem structures and increasing neural network complexity. The researchers will also...
- This Project Grant award of $300,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research on developing machine learning models for structural decision-making. The goal is to create models that can capture an agent's preferences and understanding of environmental dynamics, enabling better prediction and adaptation of decision-making in complex real-world scenarios. The research will explore methods for...
- The National Science Foundation (NSF) awarded a $299,993 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Chicago. The grant supports a collaborative research project on the "Foundations of Few-Round Active Learning" in supervised machine learning. The key objectives are to advance active learning algorithms and improve understanding of their capabilities in scenarios with limited interaction rounds. The research aims...
This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $300,000 to support research and education activities at Stanford University from October 1, 2022 to September 30, 2025. The award will fund the development of new algorithms for decision tree learning and the establishment of rigorous mathematical guarantees for existing algorithms widely used in practice. Key products and services include new decision tree learning algorithms to advance the fundamental understanding of the problem, and performance guarantees for standard heuristics to place their empirical success on a stronger theoretical foundation. An important educational goal is to train undergraduate and graduate students through research collaboration and mentorship to build expertise in decision tree learning and machine learning theory. The investigator will also develop new curricular materials and maintain feedback loops with experimental work and machine learning practitioners.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/21/22 |