Michael W. Trosset

According to our database, Michael W. Trosset authored at least 25 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Continuous Multidimensional Scaling.

Michael W. Trosset, Carey E. Priebe

CoRR, 2024

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., December, 2023

Popularity Adjusted Block Models are Generalized Random Dot Product Graphs.

John Koo, Minh Tang, Michael W. Trosset

J. Comput. Graph. Stat., January, 2023

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

Rehabilitating Isomap: Euclidean Representation of Geodesic Structure.

Michael W. Trosset, Gokcen Buyukbas

CoRR, 2020

Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs.

Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe

CoRR, 2020

2019

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

2016

Nonparametric semi-supervised learning of class proportions.

Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac

CoRR, 2016

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

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

Proceedings of the 2014 Spring Simulation Multiconference, 2014

2013

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

2010

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

2009

Molecular Embedding via a Second Order Dissimilarity Parameterized Approach.

Ian G. Grooms, Robert Michael Lewis, Michael W. Trosset

SIAM J. Sci. Comput., 2009

2008

Iterative Denoising.

Kendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe

Comput. Stat., 2008

Semisupervised learning from dissimilarity data.

Michael W. Trosset, Carey E. Priebe, Youngser Park, Michael I. Miller

Comput. Stat. Data Anal., 2008

The out-of-sample problem for classical multidimensional scaling.

Michael W. Trosset, Carey E. Priebe

Comput. Stat. Data Anal., 2008

2007

Multidimensional numerical integration for robust design optimization.

Sean C. Kugele, Layne T. Watson, Michael W. Trosset

Proceedings of the 45th Annual Southeast Regional Conference, 2007

2006

Sensitivity analysis of the strain criterion for multidimensional scaling.

Robert Michael Lewis, Michael W. Trosset

Comput. Stat. Data Anal., 2006

2005

Approximate Solutions of Continuous Dispersion Problems.

Artan Dimnaku, Rex K. Kincaid, Michael W. Trosset

Ann. Oper. Res., 2005

2002

Extensions of Classical Multidimensional Scaling via Variable Reduction.

Michael W. Trosset

Comput. Stat., 2002

Better initial configurations for metric multidimensional scaling.

Samuel W. Malone, Pablo Tarazaga, Michael W. Trosset

Comput. Stat. Data Anal., 2002

2000

Distance Matrix Completion by Numerical Optimization.

Michael W. Trosset

Comput. Optim. Appl., 2000

1994

An Extension of the Karush-Kuhn-Tucker Necessity Conditions to Infinite Programming.

Richard A. Tapia, Michael W. Trosset

SIAM Rev., 1994