Michael W. Trosset

30 papers Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Convergence Guarantees for Response Prediction for Latent Structure Network Time Series.
IEEE Trans. Netw. Sci. Eng.
Aranyak Acharyya, Francesco Sanna Passino, Michael W. Trosset, Carey E. Priebe
2025 J jnl
Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction.
CoRR
Michael W. Trosset, Kaiyi Tan, Minh Tang, Carey E. Priebe
2024 J jnl
Approximate Information Tests on Statistical Submanifolds.
J. Mach. Learn. Res.
Michael W. Trosset, Carey E. Priebe
2024 J jnl
Consistent estimation of generative model representations in the data kernel perspective space.
CoRR
Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm
2024 J jnl
Continuous Multidimensional Scaling.
CoRR
Michael W. Trosset, Carey E. Priebe
2024 J jnl
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings.
CoRR
Konstantinos Pantazis, Michael W. Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski
2023 J jnl
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs.
J. Comput. Graph. Stat.
John Koo, Minh Tang, Michael W. Trosset
2023 J jnl
Semisupervised regression in latent structure networks on unknown manifolds.
Appl. Netw. Sci.
Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
2023 J jnl
Semisupervised regression in latent structure networks on unknown manifolds.
CoRR
Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
2021 J jnl
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs.
CoRR
John Koo, Minh Tang, Michael W. Trosset
2020 J jnl
Algorithm 1007: QNSTOP - Quasi-Newton Algorithm for Stochastic Optimization.
ACM Trans. Math. Softw.
Brandon D. Amos, David R. Easterling, Layne T. Watson, William I. Thacker, Brent S. Castle, Michael W. Trosset
2020 J jnl
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs.
CoRR
Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe
2020 J jnl
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure.
CoRR
Michael W. Trosset, Gokcen Buyukbas
2019 J jnl
Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle.
IEEE ACM Trans. Comput. Biol. Bioinform.
Minghan Chen, Brandon D. Amos, Layne T. Watson, John J. Tyson, Young Cao, Clifford A. Shaffer, Michael W. Trosset, Cihan Oguz, Gisella Kakoti
2016 J jnl
Nonparametric semi-supervised learning of class proportions.
CoRR
Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac
2014 — conf
Fortran 95 implementation of QNSTOP for global and stochastic optimization.
SpringSim (HPS)
Brandon D. Amos, David R. Easterling, Layne T. Watson, Brent S. Castle, Michael W. Trosset, William I. Thacker
2014 J jnl
Parallel deterministic and stochastic global minimization of functions with very many minima.
Comput. Optim. Appl.
David R. Easterling, Layne T. Watson, Michael L. Madigan, Brent S. Castle, Michael W. Trosset
2013 J jnl
Adjusting process count on demand for petascale global optimization.
Parallel Comput.
Masha Sosonkina, Layne T. Watson, Nicholas R. Radcliffe, Raphael T. Haftka, Michael W. Trosset
2010 J jnl
Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices.
J. Classif.
Zhiliang Ma, Adam Cardinal-Stakenas, Youngser Park, Michael W. Trosset, Carey E. Priebe
2009 J jnl
Molecular Embedding via a Second Order Dissimilarity Parameterized Approach.
SIAM J. Sci. Comput.
Ian G. Grooms, Robert Michael Lewis, Michael W. Trosset
2008 J jnl
Iterative Denoising.
Comput. Stat.
Kendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe
2008 J jnl
Semisupervised learning from dissimilarity data.
Comput. Stat. Data Anal.
Michael W. Trosset, Carey E. Priebe, Youngser Park, Michael I. Miller
2008 J jnl
The out-of-sample problem for classical multidimensional scaling.
Comput. Stat. Data Anal.
Michael W. Trosset, Carey E. Priebe
2007 — conf
Multidimensional numerical integration for robust design optimization.
ACM Southeast Regional Conference
Sean C. Kugele, Layne T. Watson, Michael W. Trosset
2006 J jnl
Sensitivity analysis of the strain criterion for multidimensional scaling.
Comput. Stat. Data Anal.
Robert Michael Lewis, Michael W. Trosset
2005 J jnl
Approximate Solutions of Continuous Dispersion Problems.
Ann. Oper. Res.
Artan Dimnaku, Rex K. Kincaid, Michael W. Trosset
2002 J jnl
Better initial configurations for metric multidimensional scaling.
Comput. Stat. Data Anal.
Samuel W. Malone, Pablo Tarazaga, Michael W. Trosset
2002 J jnl
Extensions of Classical Multidimensional Scaling via Variable Reduction.
Comput. Stat.
Michael W. Trosset
2000 J jnl
Distance Matrix Completion by Numerical Optimization.
Comput. Optim. Appl.
Michael W. Trosset
1994 J jnl
An Extension of the Karush-Kuhn-Tucker Necessity Conditions to Infinite Programming.
SIAM Rev.
Richard A. Tapia, Michael W. Trosset