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04/11/2023
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices
The spectrum of a kernel matrix significantly depends on the parameter v...
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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)...
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06/04/2022
Data-driven Construction of Hierarchical Matrices with Nested Bases
Hierarchical matrices provide a powerful representation for significantl...
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11/23/2020
Integrating Deep Learning in Domain Sciences at Exascale
This paper presents some of the current challenges in designing deep lea...
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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...
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10/18/2020
Decentralized and Secure Generation Maintenance with Differential Privacy
Decentralized methods are gaining popularity for data-driven models in p...
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10/18/2020
Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach
Unit Commitment (UC) is a fundamental problem in power system operations...
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09/04/2020
Asynchronous Richardson iterations
We consider asynchronous versions of the first and second order Richards...
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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...
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08/24/2018
