Stefan M. Wild

110 papers A 2B 3C 9Misc 6Journal 74Unranked 16

Year	Rank	Type	Title / 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`	Designing a Framework for Solving Multiobjective Simulation Optimization Problems. INFORMS J. Comput. Tyler H. Chang, Stefan M. Wild
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
2026	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2025	J	`jnl`	A Class of Sparse Johnson-Lindenstrauss Transforms and Analysis of their Extreme Singular Values. SIAM J. Matrix Anal. Appl. Kwassi Joseph Dzahini, Stefan M. Wild
2025	J	`jnl`	Portable, heterogeneous ensemble workflows at scale using libEnsemble. Int. J. High Perform. Comput. Appl. Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2025	J	`jnl`	Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. CoRR Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash, Mike Bernhardt, Beth Cerny, Anshu Dubey, Roscoe Giles, Denice Ward Hood, Mary Ann E. Leung, Vanessa Lopez-Marrero, Paul Messina, Olivia B. Newton, Chris Oehmen, Stefan M. Wild, James M. Willenbring, Lou Woodley, Tony Baylis, David E. Bernholdt, Chris Camano, Johanna Cohoon, Charles Ferenbaugh, Stephen M. Fiore, Sandra Gesing, Diego Gómez-Zará, James Howison, Tanzima Z. Islam, David Kepczynski, Charles Lively, Harshitha Menon, Bronson Messer, Marieme Ngom, Umesh Paliath, Michael E. Papka, Irene Qualters, Elaine M. Raybourn, Katherine Riley, Paulina Rodriguez, Damian W. I. Rouson, Michelle Schwalbe, Sudip K. Seal, Ozge Surer, Valerie Taylor, Lingfei Wu
2025	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2025	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2025	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2025	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2024	Misc	`conf`	Central Finite-Difference Based Gradient Estimation Methods for Stochastic Optimization. WSC Raghu Bollapragada, Cem Karamanli, Stefan M. Wild
2024	J	`jnl`	Constructing a Simulation Surrogate with Partially Observed Output. Technometrics Moses Y.-H. Chan, Matthew Plumlee, Stefan M. Wild
2024	J	`jnl`	Portable, heterogeneous ensemble workflows at scale using libEnsemble. CoRR Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2024	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2024	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2024	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2024	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2024	J	`jnl`	Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models. Technometrics Özge Sürer, Matthew Plumlee, Stefan M. Wild
2024	J	`jnl`	Stochastic Trust-Region Algorithm in Random Subspaces with Convergence and Expected Complexity Analyses. SIAM J. Optim. Kwassi Joseph Dzahini, Stefan M. Wild
2024	J	`jnl`	Stochastic average model methods. Comput. Optim. Appl. Matt Menickelly, Stefan M. Wild
2023	J	`jnl`	A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps. CoRR Tyler H. Chang, Jakob R. Elias, Stefan M. Wild, Santanu Chaudhuri, Joseph A. Libera
2023	J	`jnl`	Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization. Math. Program. Comput. Raghu Bollapragada, Stefan M. Wild
2023	J	`jnl`	Bandwidth Enables Generalization in Quantum Kernel Models. Trans. Mach. Learn. Res. Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
2023	J	`jnl`	DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2023	J	`jnl`	DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Mach. Learn. Sci. Technol. Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2023	J	`jnl`	Designing a Framework for Solving Multiobjective Simulation Optimization Problems. CoRR Tyler H. Chang, Stefan M. Wild
2023	J	`jnl`	Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods. Optim. Lett. Jeffrey Larson, Misha Padidar, Stefan M. Wild
2023	J	`jnl`	ParMOO: A Python library for parallel multiobjective simulation optimization. J. Open Source Softw. Tyler H. Chang, Stefan M. Wild
2023	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2023	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2023	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2023	J	`jnl`	Research Spotlights. SIAM Rev. Stefan M. Wild
2022	J	`jnl`	Bandwidth Enables Generalization in Quantum Kernel Models. CoRR Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
2022	J	`jnl`	DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Mach. Learn. Sci. Technol. Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
2022	—	`conf`	Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira
2022	J	`jnl`	Numerical evidence against advantage with quantum fidelity kernels on classical data. CoRR Lucas Slattery, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Sami Khairy, Stefan M. Wild
2022	J	`jnl`	Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2022	J	`jnl`	libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. IEEE Trans. Parallel Distributed Syst. Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
2021	J	`jnl`	A method for convex black-box integer global optimization. J. Glob. Optim. Jeffrey Larson, Sven Leyffer, Prashant Palkar, Stefan M. Wild
2021	J	`jnl`	Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization. CoRR Raghu Bollapragada, Stefan M. Wild
2021	J	`jnl`	DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification. CoRR Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
2021	—	`conf`	Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. WORKS Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva
2021	—	`conf`	Hierarchical Analysis of Halo Center in Cosmology. ICCS (1) Zichao (Wendy) Di, Esteban Rangel, Shinjae Yoo, Stefan M. Wild
2021	J	`jnl`	Importance of Kernel Bandwidth in Quantum Machine Learning. CoRR Ruslan Shaydulin, Stefan M. Wild
2021	J	`jnl`	Randomized Algorithms for Scientific Computing (RASC). CoRR Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
2021	J	`jnl`	Robustness of deep learning algorithms in astronomy - galaxy morphology studies. CoRR Aleksandra Ciprijanovic, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord
2021	—	`conf`	Scalable Statistical Inference of Photometric Redshift via Data Subsampling. ICCS (5) Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
2021	J	`jnl`	Scalable Statistical Inference of Photometric Redshift via Data Subsampling. CoRR Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
2021	J	`jnl`	Sequential Learning of Active Subspaces. J. Comput. Graph. Stat. Nathan Wycoff, Mickaël Binois, Stefan M. Wild
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
2021	J	`jnl`	libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. CoRR Stephen Hudson, Jeffrey Larson, John-Luke Navarro, 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	B	`conf`	Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications. CCGRID Nathanaël Cheriere, Matthieu Dorier, Gabriel Antoniu, Stefan M. Wild, Sven Leyffer, Robert B. Ross
2020	J	`jnl`	Tuning Multigrid Methods with Robust Optimization. CoRR Jed Brown, Yunhui He, Scott P. MacLachlan, Matt Menickelly, Stefan M. Wild
2019	B	`conf`	Adaptive Learning for Concept Drift in Application Performance Modeling. ICPP Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Glenn K. Lockwood, Robert B. Ross, Shane Snyder, Stefan M. Wild
2019	B	`conf`	Calibrating Sensing Drift in Tomographic Inversion. ICIP Xiang Huang, Stefan M. Wild, Zichao Wendy Di
2019	J	`jnl`	Derivative-free optimization methods. Acta Numer. Jeffrey Larson, Matt Menickelly, Stefan M. Wild
2019	J	`jnl`	Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research. CoRR Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens
2019	A	`conf`	Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. SC Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens
2019	J	`jnl`	Sequential Learning of Active Subspaces. CoRR Nathan Wycoff, Mickaël Binois, Stefan M. Wild
2019	J	`jnl`	Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-Based Approach. SIAM J. Sci. Comput. Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild
2018	J	`jnl`	Asynchronously parallel optimization solver for finding multiple minima. Math. Program. Comput. Jeffrey Larson, Stefan M. Wild
2018	Misc	`conf`	DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks. HiPC Prasanna Balaprakash, Michael Salim, Thomas D. Uram, Venkat Vishwanath, Stefan M. Wild
2018	C	`conf`	Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems. ISC Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild
2018	J	`jnl`	Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components. SIAM J. Optim. Kamil A. Khan, Jeffrey Larson, Stefan M. Wild
2018	C	`conf`	Modeling I/O Performance Variability Using Conditional Variational Autoencoders. CLUSTER Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild
2017	—	`conf`	Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity. NAS Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild
2017	J	`jnl`	CONORBIT: constrained optimization by radial basis function interpolation in trust regions. Optim. Methods Softw. Rommel G. Regis, Stefan M. Wild
2017	—	`conf`	Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
2017	—	`conf`	Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. Euro-Par Workshops Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild
2016	C	`conf`	AutoMOMML: Automatic Multi-objective Modeling with Machine Learning. ISC Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild, Laura Carrington, Paul D. Hovland
2016	—	`conf`	Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian. NIPS Victor Picheny, Robert B. Gramacy, Stefan M. Wild, Sébastien Le Digabel
2016	J	`jnl`	Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. CoRR Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna V. Palem, Kazutomo Yoshii, Hal Finkel
2016	—	`conf`	Exploiting Performance Portability in Search Algorithms for Autotuning. IPDPS Workshops Amit Roy, Prasanna Balaprakash, Paul D. Hovland, Stefan M. Wild
2016	—	`conf`	Management, analysis, and visualization of experimental and observational data - The convergence of data and computing. eScience E. Wes Bethel, Martin Greenwald, Kerstin Kleese van Dam, Manish Parashar, Stefan M. Wild, H. Steven Wiley
2016	J	`jnl`	Manifold Sampling for ℓ SIAM J. Optim. Jeffrey Larson, Matt Menickelly, Stefan M. Wild
2016	J	`jnl`	Modeling an Augmented Lagrangian for Blackbox Constrained Optimization. Technometrics Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild
2016	J	`jnl`	Optimization-Based Approach for Joint X-Ray Fluorescence and Transmission Tomographic Inversion. SIAM J. Imaging Sci. Zichao (Wendy) Di, Sven Leyffer, Stefan M. Wild
2016	—	`conf`	Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality. SoCC Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna V. Palem, Marc Snir, Stefan M. Wild, Christian C. Enz
2016	J	`jnl`	Rejoinder. Technometrics Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild
2015	C	`conf`	ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines. ISC Shashi M. Aithal, Stefan M. Wild
2015	Misc	`conf`	Autotuning FPGA Design Parameters for Performance and Power. FCCM Azamat Mametjanov, Prasanna Balaprakash, Chekuri Choudary, Paul D. Hovland, Stefan M. Wild, Gerald Sabin
2015	C	`conf`	Collective I/O Tuning Using Analytical and Machine Learning Models. CLUSTER Florin Isaila, Prasanna Balaprakash, Stefan M. Wild, Dries Kimpe, Robert Latham, Robert B. Ross, Paul D. Hovland
2015	C	`conf`	Dynamic Model-Driven Parallel I/O Performance Tuning. CLUSTER Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir
2015	Misc	`conf`	Visualizing and Improving the Robustness of Phase Retrieval Algorithms. ICCS Ashish Tripathi, Sven Leyffer, Todd S. Munson, Stefan M. Wild
2014	—	`conf`	Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. PMBS@SC Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland
2014	J	`jnl`	Do you trust derivatives or differences? J. Comput. Phys. Jorge J. Moré, Stefan M. Wild
2014	C	`conf`	Energy-performance tradeoffs in multilevel checkpoint strategies. CLUSTER Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland
2014	A	`conf`	Improving parallel I/O autotuning with performance modeling. HPDC Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir
2013	C	`conf`	Active-learning-based surrogate models for empirical performance tuning. CLUSTER Prasanna Balaprakash, Robert B. Gramacy, Stefan M. Wild
2013	J	`jnl`	Axially deformed solution of the Skyrme-Hartree-Fock-Bogoliubov equations using the transformed harmonic oscillator basis (II) hfbtho v2.00d: A new version of the program. Comput. Phys. Commun. M. V. Stoitsov, Nicolas Schunck, Markus Kortelainen, N. Michel, H. Nam, Erik Olsen, Jason Sarich, Stefan M. Wild
2013	J	`jnl`	Computational nuclear quantum many-body problem: The UNEDF project. Comput. Phys. Commun. Scott Bogner, Aurel Bulgac, Joseph A. Carlson, Jonathan Engel, George L. Fann, Richard J. Furnstahl, Stefano Gandolfi, Gaute Hagen, Mihai Horoi, Calvin W. Johnson, Markus Kortelainen, Ewing L. Lusk, Pieter Maris, Hai Ah Nam, Petr Navratil, Witold Nazarewicz, Esmond G. Ng, Gustavo P. A. Nobre, W. Erich Ormand, Thomas Papenbrock, Junchen Pei, Steven C. Pieper, Sofia Quaglioni, Kenneth J. Roche, Jason Sarich, Nicolas Schunck, Masha Sosonkina, Jun Terasaki, Ian J. Thompson, James P. Vary, Stefan M. Wild
2013	—	`conf`	Empirical performance modeling of GPU kernels using active learning. PARCO Prasanna Balaprakash, Karl Rupp, Azamat Mametjanov, Robert B. Gramacy, Paul D. Hovland, Stefan M. Wild
2013	J	`jnl`	Global Convergence of Radial Basis Function Trust-Region Algorithms for Derivative-Free Optimization. SIAM Rev. Stefan M. Wild, Christine A. Shoemaker
2013	—	`conf`	Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy. PMBS@SC Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild
2013	J	`jnl`	Non-intrusive termination of noisy optimization. Optim. Methods Softw. Jeffrey Larson, Stefan M. Wild
2013	—	`conf`	Unsupervised cell identification on multidimensional X-ray fluorescence datasets. SIGGRAPH Posters Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, Stefan Vogt
2012	—	`conf`	An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning. VECPAR Prasanna Balaprakash, Stefan M. Wild, Paul D. Hovland
2012	J	`jnl`	Estimating Derivatives of Noisy Simulations. ACM Trans. Math. Softw. Jorge J. Moré, Stefan M. Wild
2012	Misc	`conf`	SPAPT: Search Problems in Automatic Performance Tuning. ICCS Prasanna Balaprakash, Stefan M. Wild, Boyana Norris
2011	J	`jnl`	Advancing Nuclear Physics Through TOPS Solvers and Tools CoRR Esmond G. Ng, Jason Sarich, Stefan M. Wild, Todd S. Munson, Hasan Metin Aktulga, Chao Yang, Pieter Maris, James P. Vary, Nicolas Schunck, M. G. Bertolli, Markus Kortelainen, Witold Nazarewicz, Thomas Papenbrock, M. V. Stoitsov
2011	Misc	`conf`	Can search algorithms save large-scale automatic performance tuning? ICCS Prasanna Balaprakash, Stefan M. Wild, Paul D. Hovland
2011	J	`jnl`	Estimating Computational Noise. SIAM J. Sci. Comput. Jorge J. Moré, Stefan M. Wild
2011	J	`jnl`	Global Convergence of Radial Basis Function Trust Region Derivative-Free Algorithms. SIAM J. Optim. Stefan M. Wild, Christine A. Shoemaker
2009	J	`jnl`	Benchmarking Derivative-Free Optimization Algorithms. SIAM J. Optim. Jorge J. Moré, Stefan M. Wild
2008	J	`jnl`	ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions. SIAM J. Sci. Comput. Stefan M. Wild, Rommel G. Regis, Christine A. Shoemaker
2007	C	`conf`	Maximizing influence in a competitive social network: a follower's perspective. ICEC Tim Carnes, Chandrashekhar Nagarajan, Stefan M. Wild, Anke van Zuylen
2004	J	`jnl`	Improving non-negative matrix factorizations through structured initialization. Pattern Recognit. Stefan M. Wild, James Curry, Anne Dougherty