Rutgers, The State University has been awarded a $300,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to conduct research titled "UNRAVEL MACHINE LEARNING BLACKBOXES -- A GENERAL, EFFECTIVE AND PERFORMANCE-GUARANTEED STATISTICAL FRAMEWORK FOR COMPLEX AND IRREGULAR INFERENCE PROBLEMS IN DATA SCIENCE." Over a three-year period from July 1, 2023 to June 30, 2026, Rutgers will develop novel statistical and computational...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under its Integrative Activities program (CFDA 47.083) to Rutgers, The State University located in Piscataway, New Jersey. The three-year grant, awarded on August 1, 2023, will fund research to develop novel statistical inference tools and computationally efficient approaches for reinforcement learning in high-dimensional, non-identically distributed data settings. Key focus areas include statistical inference for...
The National Science Foundation awarded a $180,009 Project Grant to Rutgers, The State University Of New Jersey, for research titled "COLLABORATIVE RESEARCH: LANGEVIN MARKOV CHAIN MONTE CARLO METHODS FOR MACHINE LEARNING." The award period is from June 1, 2021 to May 31, 2024. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise through increased knowledge and...
This $289,999 National Science Foundation project grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), will fund the development of improved statistical methods, algorithms, and theory for estimation and inference with high-dimensional data at Rutgers, The State University from July 2022 through June 2025. Key products include new statistical methods for regularized estimation, de-biased statistical inference including confidence intervals and regions, and empirical...
Rutgers University was awarded a three-year $540,000 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 Rutgers' development of efficient and deterministic methods for solving low-dimensional linear programs with floating-point precision. Key activities include designing scalable solvers that can handle both full-rank and...
The National Science Foundation (NSF) awarded a $375,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Rutgers, The State University located in New Brunswick, New Jersey. The 3-year grant period runs from October 1, 2023 to September 30, 2026. Under this award, Rutgers will conduct collaborative research to maximize the benefits of using redundancy and coding techniques in distributed computing systems that support artificial intelligence and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 to Purdue University to conduct research on rank-based decomposable losses for machine learning. The project aims to explore novel aggregate and individual rank-based losses to advance robust machine learning techniques, with a focus on improving optimization algorithms, hyperparameter selection, and theoretical guarantees. The...
Rutgers, The State University was awarded a $600,000 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049) and will support collaborative research on Dynamic Tensors from September 1, 2021 to August 31, 2024. Through this funding, Rutgers researchers will conduct statistical methods development, theoretical work, and applied research on tensor decompositions to analyze multiway,...
The National Science Foundation Division of Mathematical Sciences awarded Rutgers, The State University $246,115 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for the project "SHAPE OPTIMIZATION, FREE BOUNDARY PROBLEMS, AND GEOMETRIC MEASURE THEORY" from September 1, 2023 through August 31, 2026. The award will support the development of more robust tools to understand the local and global characteristics of free boundary problems, a class of...
This $400,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund the development of smart surrogates to accelerate scientific simulations. Over two years from July 2022 to June 2024, Rutgers, The State University will create a new conceptual and infrastructure framework for developing smart surrogates using deep active learning and Bayesian techniques. This will...