[1]
M. C. Tsakiris and R. Vidal.
Dual Principal Component Pursuit
ICCV Workshop on Robust Subspace Learning and Computer Vision 2015.
[2]
M. C. Tsakiris and R. Vidal.
Dual Principal Component Pursuit
Journal of Machine Learning Research (JMLR) 2018.
[3]
Z. Zhu, Y. Wang, D. P. Robinson, D. Naiman, R. Vidal, and M. C. Tsakiris.
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
Neural Information Processing Systems (NeurIPS) 2018.
[4]
T. Ding, Z Zhu, T. Ding, Y. Yang, D. Robinson, M. Tsakiris, and R. Vidal.
Noisy Dual Principal Component Pursuit
International Conference on Machine Learning (ICML) 2019.
[5]
M. C. Tsakiris and R. Vidal.
Hyperplane Clustering via Dual Principal Component Pursuit
International Conference on Machine Learning (ICML) 2017.
[6]
M. C. Tsakiris and R. Vidal.
Hyperplane Clustering via Dual Principal Component Pursuit
arXiv:1706.01604v2[cs.CV].
[7]
Daniel P Robinson, Rene Vidal, Chong You.
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis
Journal of Machine Learning, 2020 (submitted)
[8]
Chong You, Chi Li, Daniel P Robinson, Rene Vidal.
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 (submitted)
[9]
MD Kaba, M Zhao, R Vidal, DP Robinson, E Mallada.
What is the Largest Sparsity Pattern that Can Be Recovered by 1-Norm Minimization?
IEEE Transactions on Information Theory, 2019 (submitted)
[10]
Qing Qu, Zhihui Zhu, Xiao Li, Manolis C Tsakiris, John Wright, Rene Vidal.
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications.
IEEE Signal Processing Magazine, 2020 (submitted)
[11]
Frank E. Curtis, Daniel P. Robinson.
Regional complexity analysis of algorithms for nonconvex smooth optimization
Mathematical Programming, 2020.
[12]
Frank E. Curtis, Daniel P. Robinson.
Exploiting negative curvature in deterministic and stochastic optimization.
Mathematical Programming 176(1): 69-94, 2019.
[13]
Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Rene Vidal.
Nonconvex robust low-rank matrix recovery
SIAM Journal on Optimization, 30(1):660-686, 2020.
[14]
Hao Jiang, Daniel P. Robinson, ReneĢ Vidal, Chong You.
A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis.
Computational Optimization and Applications 70(2): 95-418, 2018
[15]
Benjamin Haeffele, Chong You, Rene Vidal.
A critique of self-expressive deep subspace clustering
Neural Information Processing Systems, 2020 (submitted).
[16]
Tianyu Ding, Zhihui Zhu, Manolis Tsakiris, Rene Vidal, Daniel Robinson.
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
Neural Information Processing Systems, 2020 (submitted)
[17]
M.D.Kaba, C. You, D.P. Robinson, E. Mallada, R. Vidal.
Generalized Nullspace Properties for Subspace-Preserving Recovery.
Neural Information Processing Systems, 2020 (submitted)
[18]
Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P Robinson, Rene Vidal, Laurent Kneip, Manolis C Tsakiris
Robust Homography Estimation via Dual Principal Component Pursuit.
CVPR 2020.
[19]
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu.
Analysis of the Optimization Landscapes for Overcomplete Representation Learning.
International Conference on Learning Representations, 2020
[20]
Zhihui Zhu, Tianyu Ding, Daniel Robinson, Manolis Tsakiris, Rene Vidal.
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning.
Advances in Neural Information Processing Systems, 2019
[21]
Qing Qu, Xiao Li, Zhihui Zhu.
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Neural Information Processing Systems, 2019.
[22]
Qing Qu, Xiao Li, Zhihui Zhu.
Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach.
IEEE Asilomar Conference on Signals, Systems & Computers, 2019.
[23]
Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal;
Is an Affine Constraint Needed for Affine Subspace Clustering?
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 9915-9924
[24]
Connor Lane, Ron Boger, Chong You, Manolis Tsakiris, Benjamin Haeffele, Rene Vidal;.
Classifying and Comparing Approaches to Subspace Clustering with Missing Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019
[25]
Connor Lane, Benjamin Haeffele, Rene Vidal
Adaptive Online k-Subspaces with Cooperative Re-Initialization.
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019
[26]
Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel Robinson, Manolis Tsakiris, Rene Vidal;
Noisy Dual Principal Component Pursuit.
ICML 97:1617-1625, 2019.
[27]
Z. Zhu, Y. Wang, D. Robinson, D. Naiman, R. Vidal, M. Tsakiris
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
NeurIPS 2018