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ORCIDMichael W. Trosset
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2020 – today
- 2024
[i8]Michael W. Trosset, Carey E. Priebe:
Continuous Multidimensional Scaling. CoRR abs/2402.04436 (2024)- [i7]Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm:
Consistent estimation of generative model representations in the data kernel perspective space. CoRR abs/2409.17308 (2024) - [i6]Konstantinos Pantazis, Michael W. Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski:
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. CoRR abs/2409.17544 (2024) - 2023
- [j17]Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe:
Semisupervised regression in latent structure networks on unknown manifolds. Appl. Netw. Sci. 8(1): 75 (2023) - [j16]John Koo
, Minh Tang, Michael W. Trosset:
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs. J. Comput. Graph. Stat. 32(1): 131-144 (2023) - [i5]Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe:
Semisupervised regression in latent structure networks on unknown manifolds. CoRR abs/2305.02473 (2023) - 2021
- [i4]John Koo, Minh Tang, Michael W. Trosset:
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs. CoRR abs/2109.04010 (2021) - 2020
- [j15]Brandon D. Amos, David R. Easterling, Layne T. Watson, William I. Thacker, Brent S. Castle, Michael W. Trosset:
Algorithm 1007: QNSTOP - Quasi-Newton Algorithm for Stochastic Optimization. ACM Trans. Math. Softw. 46(2): 17:1-17:20 (2020) - [i3]Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe:
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. CoRR abs/2004.07348 (2020) - [i2]Michael W. Trosset, Gokcen Buyukbas:
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure. CoRR abs/2006.10858 (2020)
2010 – 2019
- 2019
- [j14]Minghan Chen, Brandon D. Amos, Layne T. Watson, John J. Tyson, Young Cao, Clifford A. Shaffer, Michael W. Trosset, Cihan Oguz, Gisella Kakoti:
Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 301-311 (2019) - 2016
- [i1]Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac:
Nonparametric semi-supervised learning of class proportions. CoRR abs/1601.01944 (2016) - 2014
- [j13]David R. Easterling, Layne T. Watson, Michael L. Madigan, Brent S. Castle, Michael W. Trosset:
Parallel deterministic and stochastic global minimization of functions with very many minima. Comput. Optim. Appl. 57(2): 469-492 (2014) - [c2]Brandon D. Amos, David R. Easterling, Layne T. Watson, Brent S. Castle, Michael W. Trosset, William I. Thacker:
Fortran 95 implementation of QNSTOP for global and stochastic optimization. SpringSim (HPS) 2014: 15 - 2013
- [j12]Masha Sosonkina, Layne T. Watson, Nicholas R. Radcliffe, Raphael T. Haftka, Michael W. Trosset:
Adjusting process count on demand for petascale global optimization. Parallel Comput. 39(1): 21-35 (2013) - 2010
- [j11]Zhiliang Ma, Adam Cardinal-Stakenas, Youngser Park, Michael W. Trosset, Carey E. Priebe:
Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices. J. Classif. 27(3): 307-321 (2010)
2000 – 2009
- 2009
- [j10]Ian G. Grooms, Robert Michael Lewis, Michael W. Trosset:
Molecular Embedding via a Second Order Dissimilarity Parameterized Approach. SIAM J. Sci. Comput. 31(4): 2733-2756 (2009) - 2008
- [j9]Michael W. Trosset, Carey E. Priebe:
The out-of-sample problem for classical multidimensional scaling. Comput. Stat. Data Anal. 52(10): 4635-4642 (2008) - [j8]Michael W. Trosset, Carey E. Priebe, Youngser Park, Michael I. Miller:
Semisupervised learning from dissimilarity data. Comput. Stat. Data Anal. 52(10): 4643-4657 (2008) - [j7]Kendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe:
Iterative Denoising. Comput. Stat. 23(4): 497-517 (2008) - 2007
- [c1]Sean C. Kugele, Layne T. Watson, Michael W. Trosset:
Multidimensional numerical integration for robust design optimization. ACM Southeast Regional Conference 2007: 385-390 - 2006
- [j6]Robert Michael Lewis, Michael W. Trosset:
Sensitivity analysis of the strain criterion for multidimensional scaling. Comput. Stat. Data Anal. 50(1): 135-153 (2006) - 2005
- [j5]Artan Dimnaku, Rex K. Kincaid, Michael W. Trosset:
Approximate Solutions of Continuous Dispersion Problems. Ann. Oper. Res. 136(1): 65-80 (2005) - 2002
- [j4]Samuel W. Malone, Pablo Tarazaga, Michael W. Trosset:
Better initial configurations for metric multidimensional scaling. Comput. Stat. Data Anal. 41(1): 143-156 (2002) - [j3]Michael W. Trosset:
Extensions of Classical Multidimensional Scaling via Variable Reduction. Comput. Stat. 17(2): 147-163 (2002) - 2000
- [j2]Michael W. Trosset:
Distance Matrix Completion by Numerical Optimization. Comput. Optim. Appl. 17(1): 11-22 (2000)
1990 – 1999
- 1994
- [j1]Richard A. Tapia, Michael W. Trosset:
An Extension of the Karush-Kuhn-Tucker Necessity Conditions to Infinite Programming. SIAM Rev. 36(1): 1-17 (1994)
Coauthor Index
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