Stefan M. Wild
Stefan M. Wild
Berkeley Lab, Applied Mathematics & Computational Research Division
Verified email at - Homepage
Cited by
Cited by
Benchmarking derivative-free optimization algorithms
JJ Moré, SM Wild
SIAM Journal on Optimization 20 (1), 172-191, 2009
Nuclear energy density optimization
M Kortelainen, T Lesinski, J Moré, W Nazarewicz, J Sarich, N Schunck, ...
Physical Review C 82 (2), 024313, 2010
Nuclear energy density optimization: Large deformations
M Kortelainen, J McDonnell, W Nazarewicz, PG Reinhard, J Sarich, ...
Physical Review C 85 (2), 024304, 2012
Derivative-free optimization methods
J Larson, M Menickelly, SM Wild
Acta Numerica 28, 287-404, 2019
Maximizing influence in a competitive social network: a follower's perspective
T Carnes, C Nagarajan, SM Wild, A Van Zuylen
Proceedings of the Ninth International Conference on Electronic Commerce …, 2007
Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order
A Ekström, G Baardsen, C Forssén, G Hagen, M Hjorth-Jensen, ...
Physical Review Letters 110 (19), 192502, 2013
ORBIT: Optimization by radial basis function interpolation in trust-regions
SM Wild, RG Regis, CA Shoemaker
SIAM Journal on Scientific Computing 30 (6), 3197-3219, 2008
Improving non-negative matrix factorizations through structured initialization
S Wild, J Curry, A Dougherty
Pattern Recognition 37 (11), 2217-2232, 2004
Nuclear energy density optimization: Shell structure
M Kortelainen, J McDonnell, W Nazarewicz, E Olsen, PG Reinhard, ...
Physical Review C 89 (5), 054314, 2014
Axially Deformed Solution of the Skyrme-Hartree-Fock-Bogolyubov Equations Using the Transformed Harmonic Oscillator Basis (II) HFBTHO v2.00d: A New Version of the Program.
MV Stoitsov, N Schunck, M Kortelainen, N Michel, H Nam, E Olsen, ...
Computer Physics Communications 184 (6), 1592-1604, 2013
Modeling an augmented Lagrangian for blackbox constrained optimization
RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ...
Technometrics 58 (1), 1-11, 2016
Bayesian Calibration and Uncertainty Analysis for Computationally Expensive Models Using Optimization and Radial Basis Function Approximation
N Bliznyuk, D Ruppert, C Shoemaker, R Regis, S Wild, P Mugunthan
Journal of Computational and Graphical Statistics 17 (2), 270-294, 2008
Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements
JD McDonnell, N Schunck, D Higdon, J Sarich, SM Wild, W Nazarewicz
Physical Review Letters 114 (12), 122501, 2015
DeepHyper: Asynchronous hyperparameter search for deep neural networks
P Balaprakash, M Salim, TD Uram, V Vishwanath, SM Wild
2018 IEEE 25th international conference on high performance computing (HiPC …, 2018
A Taxonomy of Constraints in Black-Box Simulation-Based Optimization
SL Digabel, SM Wild
arXiv preprint arXiv:1505.07881, 2017
Workshop report on basic research needs for scientific machine learning: Core technologies for artificial intelligence
N Baker, F Alexander, T Bremer, A Hagberg, Y Kevrekidis, H Najm, ...
USDOE Office of Science (SC), Washington, DC (United States), 2019
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
V Picheny, RB Gramacy, SM Wild, SL Digabel
Proceedings of the 30th International Conference on Neural Information …, 2016
Applied Mathematics Research for Exascale Computing
J Dongarra, J Hittinger, J Bell, L Chacon, R Falgout, M Heroux, P Hovland, ...
U.S. Department of Energy, ASCR Report, 2014
TAO 3.6 users manual
T Munson, J Sarich, S Wild, S Benson, LC McInnes
Argonne National Laboratory, Mathematics and Computer Science Division, 2015
Seeding non-negative matrix factorizations with the spherical k-means clustering
S Wild
University of Colorado, 2003
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