Stefan M. Wild

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Witold NazarewiczProfessor of Physics, Michigan State UniversityVerified email at frib.msu.edu
Nicolas SchunckLawrence Livermore National LaboratoryVerified email at llnl.gov
Jeffrey LarsonComputational Mathematician, Argonne National LaboratoryVerified email at anl.gov
Prasanna BalaprakashDirector of AI Programs and Distinguished R&D Staff Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Jorge MoréArgonne Distinguished FellowVerified email at mcs.anl.gov
Matt MenickellyComputational Mathematician, Argonne National LaboratoryVerified email at anl.gov
Sven LeyfferSenior Computational Mathematician, Argonne National LaboratoryVerified email at anl.gov
Paul D. HovlandSenior Computer Scientist, Argonne National LaboratoryVerified email at mcs.anl.gov
Christine A. ShoemakerCornell UniversityVerified email at cornell.edu
Todd MunsonArgonne National LaboratoryVerified email at mcs.anl.gov
Dave HigdonVirginia TechVerified email at vt.edu
Sébastien Le DigabelGERAD and Polytechnique MontréalVerified email at polymtl.ca
Robert B. GramacyVirginia TechVerified email at vt.edu
Sandeep MadireddyMathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Rommel RegisProfessor of Mathematics, Saint Joseph's UniversityVerified email at sju.edu
Matt PlumleeAmazonVerified email at amazon.com
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Zichao Wendy DiArgonne National LabVerified email at mcs.anl.gov
Marc SnirUniversity of Illinois at Urbana ChamapignVerified email at illinois.edu
Rob LathamArgonne National LaboratoryVerified email at mcs.anl.gov

Stefan M. Wild

Berkeley Lab, Applied Mathematics & Computational Research Division

Verified email at lbl.gov - Homepage

Numerical Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Benchmarking derivative-free optimization algorithms JJ Moré, SM Wild SIAM Journal on Optimization 20 (1), 172-191, 2009	753	2009
Nuclear energy density optimization M Kortelainen, T Lesinski, J Moré, W Nazarewicz, J Sarich, N Schunck, ... Physical Review C—Nuclear Physics 82 (2), 024313, 2010	664	2010
Nuclear energy density optimization: Large deformations M Kortelainen, J McDonnell, W Nazarewicz, PG Reinhard, J Sarich, ... Physical Review C 85 (2), 024304, 2012	497	2012
Derivative-free optimization methods J Larson, M Menickelly, SM Wild Acta Numerica 28, 287-404, 2019	471	2019
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	378	2013
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	351	2007
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	318	2008
Improving non-negative matrix factorizations through structured initialization S Wild, J Curry, A Dougherty Pattern Recognition 37 (11), 2217-2232, 2004	264	2004
Nuclear energy density optimization: Shell structure M Kortelainen, J McDonnell, W Nazarewicz, E Olsen, PG Reinhard, ... Physical Review C 89 (5), 054314, 2014	241	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	240	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	169	2016
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	166	2018
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	153	2015
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	149	2008
A Taxonomy of Constraints in Black-Box Simulation-Based Optimization SL Digabel, SM Wild arXiv preprint arXiv:1505.07881, 2017	141*	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	138	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	122	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	114	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	110*	2015
Seeding non-negative matrix factorizations with the spherical k-means clustering S Wild University of Colorado, 2003	106	2003

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