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Daniel P. Robinson
Daniel P. Robinson
Associate Professor, Lehigh University
Verified email at lehigh.edu - Homepage
Title
Cited by
Cited by
Year
Scalable sparse subspace clustering by orthogonal matching pursuit
C You, D Robinson, R Vidal
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4232016
Oracle based active set algorithm for scalable elastic net subspace clustering
C You, CG Li, DP Robinson, R Vidal
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2802016
A trust region algorithm with a worst-case iteration complexity of for nonconvex optimization
FE Curtis, DP Robinson, M Samadi
Mathematical Programming 162, 1-32, 2017
1882017
Provable self-representation based outlier detection in a union of subspaces
C You, DP Robinson, R Vidal
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1272017
A primal-dual augmented Lagrangian
PE Gill, DP Robinson
Computational Optimization and Applications 51 (1), 1-25, 2012
1182012
On solving trust-region and other regularised subproblems in optimization
NIM Gould, DP Robinson, HS Thorne
Mathematical Programming Computation 2 (1), 21-57, 2010
1052010
Sparse subspace clustering with missing entries
C Yang, D Robinson, R Vidal
International Conference on Machine Learning, 2463-2472, 2015
982015
Scalable exemplar-based subspace clustering on class-imbalanced data
C You, C Li, DP Robinson, R Vidal
Proceedings of the European Conference on Computer Vision (ECCV), 67-83, 2018
932018
ADMM and accelerated ADMM as continuous dynamical systems
G Franca, D Robinson, R Vidal
International Conference on Machine Learning, 1559-1567, 2018
792018
A second derivative SQP method: Global convergence
NIM Gould, DP Robinson
SIAM Journal on Optimization 20 (4), 2023-2048, 2010
792010
A globally convergent stabilized SQP method
PE Gill, DP Robinson
SIAM Journal on Optimization 23 (4), 1983-2010, 2013
752013
A stabilized SQP method: global convergence
PE Gill, V Kungurtsev, DP Robinson
IMA Journal of Numerical Analysis 37 (1), 407-443, 2017
66*2017
An adaptive augmented Lagrangian method for large-scale constrained optimization
FE Curtis, H Jiang, DP Robinson
Mathematical Programming 152 (1), 201-245, 2015
542015
Conformal symplectic and relativistic optimization
G França, J Sulam, D Robinson, R Vidal
Advances in Neural Information Processing Systems 33, 16916-16926, 2020
532020
Exploiting negative curvature in deterministic and stochastic optimization
FE Curtis, DP Robinson
Mathematical Programming 176, 69-94, 2019
532019
Dual principal component pursuit: Improved analysis and efficient algorithms
Z Zhu, Y Wang, D Robinson, D Naiman, R Vidal, M Tsakiris
Advances in Neural Information Processing Systems 31, 2018
532018
A globally convergent primal-dual active-set framework for large-scale convex quadratic optimization
FE Curtis, Z Han, DP Robinson
Computational Optimization and Applications 60, 311-341, 2015
532015
A second derivative SQP method: Local convergence and practical issues
NIM Gould, DP Robinson
SIAM Journal on Optimization 20 (4), 2049-2079, 2010
472010
Sequential quadratic optimization for nonlinear equality constrained stochastic optimization
AS Berahas, FE Curtis, D Robinson, B Zhou
SIAM Journal on Optimization 31 (2), 1352-1379, 2021
442021
A stabilized SQP method: superlinear convergence
PE Gill, V Kungurtsev, DP Robinson
Mathematical Programming 163 (1), 369-410, 2017
422017
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