Arielle Carr

According to our database, Arielle Carr authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization.

Ainara Garcia, Sihong Xie, Arielle Carr

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix.

Arielle K. Carr, Eric de Sturler, Mark Embree

CoRR, 2022

Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection.

Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie

CoRR, 2022

Post-Modern GMRES.

Stephen J. Thomas, Erin C. Carson, Miro Rozlozník, Arielle Carr, Kasia Swirydowicz

CoRR, 2022

Quantum-enhanced Regression Analysis Using State-of-the-art QLSAs and QIPMs.

Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Brandon Augustino, Tamás Terlaky, Arielle Carr

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Efficient Multiple Objective Optimization for Fair Misinformation Detection.

Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie

Proceedings of the IEEE International Conference on Big Data, 2022

A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning.

Sean Wang, Arielle Carr, Sihong Xie

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Preconditioning Parametrized Linear Systems.

Arielle Carr, Eric de Sturler, Serkan Gugercin

SIAM J. Sci. Comput., 2021

Neumann Series in GMRES and Algebraic Multigrid Smoothers.

Stephen J. Thomas, Arielle Carr, Paul Mullowney, Ruipeng Li, Kasia Swirydowicz

CoRR, 2021

ILUT Smoothers for Hybrid C-AMG with Scaled Triangular Factors.

Stephen J. Thomas, Arielle Carr, Kasia Swirydowicz, Marc Day

CoRR, 2021