research
∙
04/11/2023
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices
The spectrum of a kernel matrix significantly depends on the parameter v...
share
research
∙
12/24/2022
Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach
A general, rectangular kernel matrix may be defined as K_ij = κ(x_i,y_j)...
research
∙
06/04/2022
Data-driven Construction of Hierarchical Matrices with Nested Bases
Hierarchical matrices provide a powerful representation for significantl...
research
∙
11/23/2020
Integrating Deep Learning in Domain Sciences at Exascale
This paper presents some of the current challenges in designing deep lea...
research
∙
11/15/2020
Efficient construction of an HSS preconditioner for symmetric positive definite ℋ^2 matrices
In an iterative approach for solving linear systems with ill-conditioned...
research
∙
10/18/2020
Decentralized and Secure Generation Maintenance with Differential Privacy
Decentralized methods are gaining popularity for data-driven models in p...
research
∙
10/18/2020
Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach
Unit Commitment (UC) is a fundamental problem in power system operations...
research
∙
09/04/2020
Asynchronous Richardson iterations
We consider asynchronous versions of the first and second order Richards...
research
∙
04/07/2019
An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem
With increased reliance on cyber infrastructure, large scale power netwo...
research
∙
08/24/2018