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 | 429 | 2016 |
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 | 286 | 2016 |
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 | 194 | 2017 |
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 | 133 | 2017 |
A primal-dual augmented Lagrangian PE Gill, DP Robinson Computational Optimization and Applications 51 (1), 1-25, 2012 | 119 | 2012 |
On solving trust-region and other regularised subproblems in optimization NIM Gould, DP Robinson, HS Thorne Mathematical Programming Computation 2 (1), 21-57, 2010 | 107 | 2010 |
Sparse subspace clustering with missing entries C Yang, D Robinson, R Vidal International Conference on Machine Learning, 2463-2472, 2015 | 102 | 2015 |
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 | 94 | 2018 |
ADMM and accelerated ADMM as continuous dynamical systems G Franca, D Robinson, R Vidal International Conference on Machine Learning, 1559-1567, 2018 | 81 | 2018 |
A second derivative SQP method: Global convergence NIM Gould, DP Robinson SIAM Journal on Optimization 20 (4), 2023-2048, 2010 | 78 | 2010 |
A globally convergent stabilized SQP method PE Gill, DP Robinson SIAM Journal on Optimization 23 (4), 1983-2010, 2013 | 73 | 2013 |
A stabilized SQP method: global convergence PE Gill, V Kungurtsev, DP Robinson IMA Journal of Numerical Analysis 37 (1), 407-443, 2017 | 64* | 2017 |
Exploiting negative curvature in deterministic and stochastic optimization FE Curtis, DP Robinson Mathematical Programming 176, 69-94, 2019 | 61 | 2019 |
Genetically engineered analogs of ascomycin for nerve regeneration WP Revill, J Voda, CR Reeves, L Chung, A Schirmer, G Ashley, ... Journal of Pharmacology and Experimental Therapeutics 302 (3), 1278-1285, 2002 | 60 | 2002 |
An adaptive augmented Lagrangian method for large-scale constrained optimization FE Curtis, H Jiang, DP Robinson Mathematical Programming 152 (1), 201-245, 2015 | 57 | 2015 |
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 | 56 | 2018 |
Conformal symplectic and relativistic optimization G França, J Sulam, D Robinson, R Vidal Advances in Neural Information Processing Systems 33, 16916-16926, 2020 | 55 | 2020 |
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 | 53 | 2015 |
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 | 52 | 2021 |
A second derivative SQP method: Local convergence and practical issues NIM Gould, DP Robinson SIAM Journal on Optimization 20 (4), 2049-2079, 2010 | 47 | 2010 |