Robinson, Daniel

9 publications

TMLR 2023 An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson

AISTATS 2021 Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms Tianyu Ding, Zhihui Zhu, Manolis Tsakiris, Rene Vidal, Daniel Robinson

NeurIPS 2020 Conformal Symplectic and Relativistic Optimization Guilherme Franca, Jeremias Sulam, Daniel Robinson, Rene Vidal

NeurIPS 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning Zhihui Zhu, Tianyu Ding, Daniel Robinson, Manolis Tsakiris, René Vidal

ICML 2019 Noisy Dual Principal Component Pursuit Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Rene Vidal, Manolis Tsakiris, Daniel Robinson

ICML 2018 ADMM and Accelerated ADMM as Continuous Dynamical Systems Guilherme Franca, Daniel Robinson, Rene Vidal

NeurIPS 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms Zhihui Zhu, Yifan Wang, Daniel Robinson, Daniel Naiman, René Vidal, Manolis Tsakiris

CVPR 2016 Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit Chong You, Daniel Robinson, Rene Vidal

ICML 2015 Sparse Subspace Clustering with Missing Entries Congyuan Yang, Daniel Robinson, Rene Vidal