An Extension of the Karush-Kuhn-Tucker Necessity Conditions to Infinite Programming. - Richard A. Tapia; Michael W. Trosset (SIAM Rev., 1994)

Distance Matrix Completion by Numerical Optimization. - Michael W. Trosset (Comput. Optim. Appl., 2000)

Better initial configurations for metric multidimensional scaling. - Samuel W. Malone; Pablo Tarazaga; Michael W. Trosset (Comput. Stat. Data Anal., 2002)

Extensions of Classical Multidimensional Scaling via Variable Reduction. - Michael W. Trosset (Comput. Stat., 2002)

Approximate Solutions of Continuous Dispersion Problems. - Artan Dimnaku; Rex K. Kincaid; Michael W. Trosset (Ann. Oper. Res., 2005)

Sensitivity analysis of the strain criterion for multidimensional scaling. - Robert Michael Lewis; Michael W. Trosset (Comput. Stat. Data Anal., 2006)

Multidimensional numerical integration for robust design optimization. - Sean C. Kugele; Layne T. Watson; Michael W. Trosset (ACM Southeast Regional Conference, 2007)

The out-of-sample problem for classical multidimensional scaling. - Michael W. Trosset; Carey E. Priebe (Comput. Stat. Data Anal., 2008)

Semisupervised learning from dissimilarity data. - Michael W. Trosset; Carey E. Priebe; Youngser Park; Michael I. Miller (Comput. Stat. Data Anal., 2008)

Iterative Denoising. - Kendall E. Giles; Michael W. Trosset; David J. Marchette; Carey E. Priebe (Comput. Stat., 2008)

Molecular Embedding via a Second Order Dissimilarity Parameterized Approach. - Ian G. Grooms; Robert Michael Lewis; Michael W. Trosset (SIAM J. Sci. Comput., 2009)

Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices. - Zhiliang Ma; Adam Cardinal-Stakenas; Youngser Park; Michael W. Trosset; Carey E. Priebe (J. Classif., 2010)

Adjusting process count on demand for petascale global optimization. - Masha Sosonkina; Layne T. Watson; Nicholas R. Radcliffe; Raphael T. Haftka; Michael W. Trosset (Parallel Comput., 2013)

Fortran 95 implementation of QNSTOP for global and stochastic optimization. - Brandon D. Amos; David R. Easterling; Layne T. Watson; Brent S. Castle; Michael W. Trosset; William I. Thacker (SpringSim (HPS), 2014)

Parallel deterministic and stochastic global minimization of functions with very many minima. - David R. Easterling; Layne T. Watson; Michael L. Madigan; Brent S. Castle; Michael W. Trosset (Comput. Optim. Appl., 2014)

Nonparametric semi-supervised learning of class proportions. - Shantanu Jain; Martha White; Michael W. Trosset; Predrag Radivojac (CoRR, 2016)

Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle. - Minghan Chen; Brandon D. Amos; Layne T. Watson; John J. Tyson; Young Cao; Clifford A. Shaffer; Michael W. Trosset; Cihan Oguz; Gisella Kakoti (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. - Michael W. Trosset; Mingyue Gao; Minh Tang; Carey E. Priebe (CoRR, 2020)

Rehabilitating Isomap: Euclidean Representation of Geodesic Structure. - Michael W. Trosset; Gokcen Buyukbas (CoRR, 2020)

Algorithm 1007: QNSTOP - Quasi-Newton Algorithm for Stochastic Optimization. - Brandon D. Amos; David R. Easterling; Layne T. Watson; William I. Thacker; Brent S. Castle; Michael W. Trosset (ACM Trans. Math. Softw., 2020)

Popularity Adjusted Block Models are Generalized Random Dot Product Graphs. - John Koo; Minh Tang; Michael W. Trosset (J. Comput. Graph. Stat., 2023)

Semisupervised regression in latent structure networks on unknown manifolds. - Aranyak Acharyya; Joshua Agterberg; Michael W. Trosset; Youngser Park; Carey E. Priebe (Appl. Netw. Sci., 2023)

Continuous Multidimensional Scaling. - Michael W. Trosset; Carey E. Priebe (CoRR, 2024)

Consistent estimation of generative model representations in the data kernel perspective space. - Aranyak Acharyya; Michael W. Trosset; Carey E. Priebe; Hayden S. Helm (CoRR, 2024)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. - Konstantinos Pantazis; Michael W. Trosset; William N. Frost; Carey E. Priebe; Vince Lyzinski (CoRR, 2024)

Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction. - Michael W. Trosset; Kaiyi Tan; Minh Tang; Carey E. Priebe (CoRR, 2025)