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Matt Menickelly
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Derivative-free optimization methods
J Larson, M Menickelly, SM Wild
Acta Numerica 28, 287-404, 2019
2332019
Stochastic optimization using a trust-region method and random models
R Chen, M Menickelly, K Scheinberg
Mathematical Programming 169 (2), 447-487, 2018
1182018
Convergence rate analysis of a stochastic trust-region method via supermartingales
J Blanchet, C Cartis, M Menickelly, K Scheinberg
INFORMS journal on optimization 1 (2), 92-119, 2019
692019
Optimal decision trees for categorical data via integer programming
O Günlük, J Kalagnanam, M Li, M Menickelly, K Scheinberg
Journal of global optimization 81 (1), 233-260, 2021
382021
Convergence rate analysis of a stochastic trust region method for nonconvex optimization
J Blanchet, C Cartis, M Menickelly, K Scheinberg
arXiv preprint arXiv:1609.07428 5, 2016
342016
Manifold Sampling for Nonconvex Optimization
J Larson, M Menickelly, SM Wild
SIAM Journal on Optimization 26 (4), 2540-2563, 2016
312016
Derivative-free robust optimization by outer approximations
M Menickelly, SM Wild
Mathematical Programming 179 (1), 157-193, 2020
272020
A survey of nonlinear robust optimization
S Leyffer, M Menickelly, T Munson, C Vanaret, SM Wild
INFOR: Information Systems and Operational Research 58 (2), 342-373, 2020
262020
Tuning multigrid methods with robust optimization and local fourier analysis
J Brown, Y He, S MacLachlan, M Menickelly, SM Wild
SIAM Journal on Scientific Computing 43 (1), A109-A138, 2021
102021
Optimal generalized decision trees via integer programming
O Gunluk, J Kalagnanam, M Li, M Menickelly, K Scheinberg
arXiv preprint arXiv:1612.03225, 2016
102016
Optimization and supervised machine learning methods for fitting numerical physics models without derivatives
R Bollapragada, M Menickelly, W Nazarewicz, J O’Neal, PG Reinhard, ...
Journal of Physics G: Nuclear and Particle Physics 48 (2), 024001, 2020
82020
Accurate, rapid identification of dislocation lines in coherent diffractive imaging via a min-max optimization formulation
A Ulvestad, M Menickelly, SM Wild
AIP Advances 8 (1), 015114, 2018
62018
Manifold sampling for optimizing nonsmooth nonconvex compositions
J Larson, M Menickelly, B Zhou
SIAM Journal on Optimization 31 (4), 2638-2664, 2021
52021
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization
DT Phan, T Idé, J Kalagnanam, M Menickelly, K Scheinberg
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 830-833, 2017
42017
On the Solution of 0-Constrained Sparse Inverse Covariance Estimation Problems
DT Phan, M Menickelly
INFORMS Journal on Computing 33 (2), 531-550, 2021
22021
Robust learning of trimmed estimators via manifold sampling
M Menickelly, SM Wild
arXiv preprint arXiv:1807.02736, 2018
22018
Random models in nonlinear optimization
M Menickelly
Lehigh University, 2017
12017
Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization
J Larson, M Menickelly
arXiv preprint arXiv:2207.08264, 2022
2022
Stochastic Average Model Methods
M Menickelly, SM Wild
arXiv preprint arXiv:2207.06305, 2022
2022
TROPHY: Trust Region Optimization Using a Precision Hierarchy
RJ Clancy, M Menickelly, J Hückelheim, P Hovland, P Nalluri, R Gjini
22nd International Conference on Computational Science 13350, 445-459, 2022
2022
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