Matt Menickelly

23 papers A 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers.
J. Optim. Theory Appl.
Matt Menickelly, Stefan M. Wild, Miaolan Xie
2026 J jnl
HFBTHO-AD: Differentiation of a nuclear energy density functional code.
Comput. Phys. Commun.
Laurent Hascoët, Matt Menickelly, Sri Hari Krishna Narayanan, Jared O'Neal, Nicolas Schunck, Stefan M. Wild
2025 J jnl
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms.
INFORMS J. Comput.
Jeffrey Larson, Matt Menickelly, Jiahao Shi
2025 A conf
Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization.
SDM
Dzung T. Phan, Matt Menickelly, Tsuyoshi Idé, Jayant Kalagnanam
2025 J jnl
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms.
INFORMS J. Comput.
Yunsoo Ha, Sara Shashaani, Matt Menickelly
2024 J jnl
Stochastic average model methods.
Comput. Optim. Appl.
Matt Menickelly, Stefan M. Wild
2024 J jnl
Structure-aware methods for expensive derivative-free nonsmooth composite optimization.
Math. Program. Comput.
Jeffrey Larson, Matt Menickelly
2023 J jnl
Latency considerations for stochastic optimizers in variational quantum algorithms.
Quantum
Matt Menickelly, Yunsoo Ha, Matthew Otten
2022 — conf
Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods.
SciPy
Robert Jackson, Rebecca Gjini, Sri Hari Krishna Narayanan, Matt Menickelly, Paul D. Hovland, Jan Hückelheim, Scott M. Collis
2022 — conf
TROPHY: Trust Region Optimization Using a Precision Hierarchy.
ICCS (1)
Richard J. Clancy, Matt Menickelly, Jan Hückelheim, Paul D. Hovland, Prani Nalluri, Rebecca Gjini
2021 J jnl
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions.
SIAM J. Optim.
Jeffrey Larson, Matt Menickelly, Baoyu Zhou
2021 J jnl
On the Solution of
INFORMS J. Comput.
Dzung T. Phan, Matt Menickelly
2021 J jnl
Optimal decision trees for categorical data via integer programming.
J. Glob. Optim.
Oktay Günlük, Jayant Kalagnanam, Minhan Li, Matt Menickelly, Katya Scheinberg
2021 J jnl
Tuning Multigrid Methods with Robust Optimization and Local Fourier Analysis.
SIAM J. Sci. Comput.
Jed Brown, Yunhui He, Scott P. MacLachlan, Matt Menickelly, Stefan M. Wild
2020 J jnl
A survey of nonlinear robust optimization.
INFOR Inf. Syst. Oper. Res.
Sven Leyffer, Matt Menickelly, Todd S. Munson, Charlie Vanaret, Stefan M. Wild
2020 J jnl
Derivative-free robust optimization by outer approximations.
Math. Program.
Matt Menickelly, Stefan M. Wild
2020 J jnl
Tuning Multigrid Methods with Robust Optimization.
CoRR
Jed Brown, Yunhui He, Scott P. MacLachlan, Matt Menickelly, Stefan M. Wild
2019 J jnl
Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales.
INFORMS J. Optim.
Jose H. Blanchet, Coralia Cartis, Matt Menickelly, Katya Scheinberg
2019 J jnl
Derivative-free optimization methods.
Acta Numer.
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
2018 J jnl
Stochastic optimization using a trust-region method and random models.
Math. Program.
Ruobing Chen, Matt Menickelly, Katya Scheinberg
2017 — conf
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization.
ICDM Workshops
Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg
2016 J jnl
Manifold Sampling for ℓ
SIAM J. Optim.
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
2016 J jnl
Optimal Generalized Decision Trees via Integer Programming.
CoRR
Matt Menickelly, Oktay Günlük, Jayant Kalagnanam, Katya Scheinberg