MM
Matt Menickelly
math.OCquant-phnucl-thcond-mat.mtrl-scics.CVcs.LGcs.NAmath.APmath.NAphysics.med-ph
On Valency
published · living versionsW_umpqbj8a·v1 · currentpublished
Preprints & journals
29 papers in the corpus · 2015–2026Edge-Aligned Beam Placement in Scanning Probe Tomography via Reconstruction-Free Sequential Design of Experiments2606.21713v2 · San Dinh, Zichao Wendy Di, Matt Menickelly2026 · 0 citationsarXiv
Discrepancy Modeling with Intermediate Variables: A New Framework for Robust Gaussian Process Calibration2606.12857v1 · Henry Shaowu Yuchi, Michael Grosskopf, Aman Sharma et al.2026 · 0 citationsarXiv
Birkhoff interpolation models for optimization with some available derivatives2605.28503v3 · Jeffrey Larson, Matt Menickelly, Evan Toler2026 · 0 citationsarXiv
Importance Sampling in Expensive Finite-Sum Optimization via Contextual Bandit Methods2604.20657v2 · Matt Menickelly2026 · 0 citationsarXiv
MonteQ: A Monte Carlo Tree Search Based Quantum Circuit Synthesis Framework2604.19029v1 · Mulundano Machiya, Matt Menickelly, Paul Hovland et al.2026 · 0 citationsarXiv
Variational quantum state preparation within an entangle-rotate circuit framework for quantum-enhanced metrology in noisy systems2604.15209v2 · Juan C. Zuniga Castro, Jeffrey Larson, Matt Menickelly et al.2026 · 11 citationsarXiv
HFBTHO-AD: Differentiation of a nuclear energy density functional code2508.11910v2 · Laurent Hascoet, Matt Menickelly, Sri Hari Krishna Narayanan et al.2025 · 0 citationsarXiv
A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm2507.10992v1 · Kwassi Joseph Dzahini, Jeffrey M. Larson, Matt Menickelly et al.2025 · 2 citationsarXiv
A nuclear mass model rooted in chiral effective field theory2504.20843v1 · C. Mishra, A. Ekstrom, G. Hagen et al.2025 · 0 citationsarXiv
Augmenting Subspace Optimization Methods with Linear Bandits2412.14278v4 · Matt Menickelly2024 · 0 citationsarXiv
Modeling and solving cascading failures across interdependent infrastructure systems2407.16796v1 · Yijiang Li, Kibaek Kim, Sven Leyffer et al.2024 · 1 citationarXiv
Challenges with Differentiable Quantum Dynamics2406.06361v2 · Sri Hari Krishna Narayanan, Michael Perlin, Robert Lewis-Swan et al.2024 · 0 citationsarXiv
Estimating Computational Noise on Parametric Curves2401.10757v1 · Matt Menickelly2024 · 0 citationsarXiv
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms2401.10121v2 · Jeffrey Larson, Matt Menickelly, Jiahao Shi2024 · 3 citationsarXiv
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms2401.08912v1 · Yunsoo Ha, Sara Shashaani, Matt Menickelly2024 · 5 citationsarXiv
Avoiding Geometry Improvement in Derivative-Free Model-Based Methods via Randomization2305.17336v1 · Matt Menickelly2023 · 0 citationsarXiv
A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers2302.09128v2 · Matt Menickelly, Stefan M. Wild, Miaolan Xie2023 · 3 citationsarXiv
Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization2207.08264v2 · Jeffrey Larson, Matt Menickelly2022 · 6 citationsarXiv
Stochastic Average Model Methods2207.06305v4 · Matt Menickelly, Stefan M. Wild2022 · 0 citationsarXiv
TROPHY: Trust Region Optimization Using a Precision Hierarchy2202.08387v1 · Richard J Clancy, Matt Menickelly, Jan Huckelheim et al.2022 · 2 citationsarXiv
Latency considerations for stochastic optimizers in variational quantum algorithms2201.13438v3 · Matt Menickelly, Yunsoo Ha, Matthew Otten2022 · 19 citationsQuantum 7, 949 (2023)
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions2011.01283v4 · Jeffrey Larson, Matt Menickelly, Baoyu Zhou2020 · 6 citationsarXiv
Optimization and Supervised Machine Learning Methods for Fitting Numerical Physics Models without Derivatives2010.05668v2 · Raghu Bollapragada, Matt Menickelly, Witold Nazarewicz et al.2020 · 12 citationsarXiv
Tuning Multigrid Methods with Robust Optimization2001.00887v2 · Jed Brown, Yunhui He, Scott MacLachlan et al.2020 · 1 citationarXiv
Robust Learning of Trimmed Estimators via Manifold Sampling1807.02736v1 · Matt Menickelly, Stefan M. Wild2018 · 0 citationsarXiv
Accurate, rapid identification of dislocation lines in coherent diffractive imaging via a min-max optimization formulation1711.06082v1 · A. Ulvestad, M. Menickelly, S. M. Wild2017 · 13 citationsarXiv
Optimal Generalized Decision Trees via Integer Programming1612.03225v3 · Oktay Gunluk, Jayant Kalagnanam, Minhan Li et al.2016 · 19 citationsarXiv
Convergence Rate Analysis of a Stochastic Trust Region Method via Submartingales1609.07428v3 · Jose Blanchet, Coralia Cartis, Matt Menickelly et al.2016 · 13 citationsarXiv
Stochastic Optimization Using a Trust-Region Method and Random Models1504.04231v2 · Ruobing Chen, Matt Menickelly, Katya Scheinberg2015 · 148 citationsarXiv
Career total: 45 works. 29 are in this corpus.
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