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Matt Menickelly

Orcid: 0000-0002-2023-0837

According to our database1, Matt Menickelly authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Stochastic average model methods.
[BibTeX]
[DOI]
Matt Menickelly
,
Stefan M. Wild
Comput. Optim. Appl., June, 2024

Structure-aware methods for expensive derivative-free nonsmooth composite optimization.
[BibTeX]
[DOI]
Jeffrey Larson
,
Matt Menickelly
Math. Program. Comput., 2024

2023
Latency considerations for stochastic optimizers in variational quantum algorithms.
[BibTeX]
[DOI]
Matt Menickelly
,
Yunsoo Ha
,
Matthew Otten
Quantum, March, 2023

2022
Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods.
[BibTeX]
[DOI]
Robert Jackson
,
Rebecca Gjini
,
Sri Hari Krishna Narayanan
,
Matt Menickelly
,
Paul D. Hovland
,
Jan Hückelheim
,
Scott M. Collis
Proceedings of the 21st Python in Science Conference 2022, 2022

TROPHY: Trust Region Optimization Using a Precision Hierarchy.
[BibTeX]
[DOI]
Richard J. Clancy
,
Matt Menickelly
,
Jan Hückelheim
,
Paul D. Hovland
,
Prani Nalluri
,
Rebecca Gjini
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Tuning Multigrid Methods with Robust Optimization and Local Fourier Analysis.
[BibTeX]
[DOI]
Jed Brown
,
Yunhui He
,
Scott P. MacLachlan
,
Matt Menickelly
,
Stefan M. Wild
SIAM J. Sci. Comput., 2021

Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions.
[BibTeX]
[DOI]
Jeffrey Larson
,
Matt Menickelly
,
Baoyu Zhou
SIAM J. Optim., 2021

Optimal decision trees for categorical data via integer programming.
[BibTeX]
[DOI]
Oktay Günlük
,
Jayant Kalagnanam
,
Minhan Li
,
Matt Menickelly
,
Katya Scheinberg
J. Glob. Optim., 2021

On the Solution of <i>ℓ</i><sub>0</sub>-Constrained Sparse Inverse Covariance Estimation Problems.
[BibTeX]
[DOI]
Dzung T. Phan
,
Matt Menickelly
INFORMS J. Comput., 2021

2020
Derivative-free robust optimization by outer approximations.
[BibTeX]
[DOI]
Matt Menickelly
,
Stefan M. Wild
Math. Program., 2020

A survey of nonlinear robust optimization.
[BibTeX]
[DOI]
Sven Leyffer
,
Matt Menickelly
,
Todd S. Munson
,
Charlie Vanaret
,
Stefan M. Wild
INFOR Inf. Syst. Oper. Res., 2020

Tuning Multigrid Methods with Robust Optimization.
[BibTeX]
[DOI]
Jed Brown
,
Yunhui He
,
Scott P. MacLachlan
,
Matt Menickelly
,
Stefan M. Wild
CoRR, 2020

2019
Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales.
[BibTeX]
[DOI]
Jose H. Blanchet
,
Coralia Cartis
,
Matt Menickelly
,
Katya Scheinberg
INFORMS J. Optim., April, 2019

Derivative-free optimization methods.
[BibTeX]
[DOI]
Jeffrey Larson
,
Matt Menickelly
,
Stefan M. Wild
Acta Numer., 2019

2018
Stochastic optimization using a trust-region method and random models.
[BibTeX]
[DOI]
Ruobing Chen
,
Matt Menickelly
,
Katya Scheinberg
Math. Program., 2018

2017
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization.
[BibTeX]
[DOI]
Dzung T. Phan
,
Tsuyoshi Idé
,
Jayant Kalagnanam
,
Matt Menickelly
,
Katya Scheinberg
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Manifold Sampling for ℓ<sub>1</sub> Nonconvex Optimization.
[BibTeX]
[DOI]
Jeffrey Larson
,
Matt Menickelly
,
Stefan M. Wild
SIAM J. Optim., 2016

Optimal Generalized Decision Trees via Integer Programming.
[BibTeX]
[DOI]
Matt Menickelly
,
Oktay Günlük
,
Jayant Kalagnanam
,
Katya Scheinberg
CoRR, 2016


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