Daniel P. Robinson

83 papers A* 16A 2Misc 1Journal 62Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Proximal-Gradient Method for Equality Constrained Optimization. SIAM J. Optim. Yutong Dai, Xiaoyi Qu, Daniel P. Robinson
2025	J	`jnl`	A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems. SIAM J. Optim. Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson, Qi Wang
2025	J	`jnl`	Active-Set Identification in Noisy and Stochastic Optimization. CoRR Frank E. Curtis, Daniel P. Robinson, Lara Zebiane
2025	A*	`conf`	Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression. CVPR Xiaoyi Qu, David Aponte, Colby R. Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen
2025	J	`jnl`	Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression. CoRR Xiaoyi Qu, David Aponte, Colby R. Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen
2025	J	`jnl`	Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates. CoRR Zahra Khatti, Daniel P. Robinson, Frank E. Curtis
2025	J	`jnl`	Progressively Sampled Equality-Constrained Optimization. CoRR Frank E. Curtis, Lingjun Guo, Daniel P. Robinson
2024	J	`jnl`	A Stochastic Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Equality-Constrained Optimization. INFORMS J. Optim. Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou
2024	J	`jnl`	A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear-Equality-Constrained Optimization with Rank-Deficient Jacobians. Math. Oper. Res. Albert S. Berahas, Frank E. Curtis, Michael O'Neill, Daniel P. Robinson
2024	J	`jnl`	A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity. Optim. Methods Softw. Yutong Dai, Daniel P. Robinson
2024	J	`jnl`	Fair machine learning through constrained stochastic optimization and an ε-constraint method. Optim. Lett. Frank E. Curtis, Suyun Liu, Daniel P. Robinson
2024	A*	`conf`	Geometric Analysis of Nonlinear Manifold Clustering. NeurIPS Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal
2024	J	`jnl`	Sequential Quadratic Optimization for Stochastic Optimization with Deterministic Nonlinear Inequality and Equality Constraints. SIAM J. Optim. Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou
2024	J	`jnl`	Using Synthetic Data to Mitigate Unfairness and Preserve Privacy through Single-Shot Federated Learning. CoRR Chia-Yuan Wu, Frank E. Curtis, Daniel P. Robinson
2024	J	`jnl`	Worst-case complexity of an SQP method for nonlinear equality constrained stochastic optimization. Math. Program. Frank E. Curtis, Michael J. O'Neill, Daniel P. Robinson
2023	J	`jnl`	A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM. IEEE Trans. Autom. Control. Guilherme França, Daniel P. Robinson, René Vidal
2023	J	`jnl`	A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems. CoRR Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson, Qi Wang
2023	A	`conf`	A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. AISTATS Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson
2023	J	`jnl`	An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization. Trans. Mach. Learn. Res. Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson
2022	J	`jnl`	A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer. SIAM J. Optim. Frank E. Curtis, Yutong Dai, Daniel P. Robinson
2022	J	`jnl`	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Chong You, Chi Li, Daniel P. Robinson, René Vidal
2021	A*	`conf`	A Nullspace Property for Subspace-Preserving Recovery. ICML Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, René Vidal
2021	J	`jnl`	Boosting RANSAC via Dual Principal Component Pursuit. CoRR Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris
2021	A	`conf`	Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
2021	A*	`conf`	Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson
2021	J	`jnl`	Regional complexity analysis of algorithms for nonconvex smooth optimization. Math. Program. Frank E. Curtis, Daniel P. Robinson
2021	J	`jnl`	Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization. SIAM J. Optim. Albert S. Berahas, Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou
2021	J	`jnl`	Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization. SIAM J. Optim. Frank E. Curtis, Daniel P. Robinson, Clément W. Royer, Stephen J. Wright
2021	J	`jnl`	What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? IEEE Trans. Inf. Theory Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada
2020	J	`jnl`	A Shifted Primal-Dual Penalty-Barrier Method for Nonlinear Optimization. SIAM J. Optim. Philip E. Gill, Vyacheslav Kungurtsev, Daniel P. Robinson
2020	A*	`conf`	Conformal Symplectic and Relativistic Optimization. NeurIPS Guilherme França, Jeremias Sulam, Daniel P. Robinson, René Vidal
2020	J	`jnl`	Is an Affine Constraint Needed for Affine Subspace Clustering? CoRR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2020	A*	`conf`	Robust Homography Estimation via Dual Principal Component Pursuit. CVPR Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
2020	J	`jnl`	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. CoRR Chong You, Chi Li, Daniel P. Robinson, René Vidal
2020	J	`jnl`	Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization. CoRR Albert S. Berahas, Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou
2019	A*	`conf`	A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2019	J	`jnl`	Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis. CoRR Daniel P. Robinson, René Vidal, Chong You
2019	J	`jnl`	Exploiting negative curvature in deterministic and stochastic optimization. Math. Program. Frank E. Curtis, Daniel P. Robinson
2019	J	`jnl`	Generalized Nullspace Property for Structurally Sparse Signals. CoRR Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada
2019	J	`jnl`	Gradient Flows and Accelerated Proximal Splitting Methods. CoRR Guilherme França, Daniel P. Robinson, René Vidal
2019	A*	`conf`	Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2019	A*	`conf`	Noisy Dual Principal Component Pursuit. ICML Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2018	—	`conf`	A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data. ECCV (9) Chong You, Chi Li, Daniel P. Robinson, René Vidal
2018	J	`jnl`	A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis. Comput. Optim. Appl. Hao Jiang, Daniel P. Robinson, René Vidal, Chong You
2018	A*	`conf`	ADMM and Accelerated ADMM as Continuous Dynamical Systems. ICML Guilherme França, Daniel P. Robinson, René Vidal
2018	J	`jnl`	Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization. SIAM J. Optim. Frank E. Curtis, Daniel P. Robinson, Mohammadreza Samadi
2018	J	`jnl`	Concise complexity analyses for trust region methods. Optim. Lett. Frank E. Curtis, Zachary Lubberts, Daniel P. Robinson
2018	A*	`conf`	Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
2018	J	`jnl`	Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris
2018	J	`jnl`	FaRSA for ℓ1-regularized convex optimization: local convergence and numerical experience. Optim. Methods Softw. Tianyi Chen, Frank E. Curtis, Daniel P. Robinson
2018	—	`conf`	Sparse Recovery over Graph Incidence Matrices. CDC Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada
2018	J	`jnl`	Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance. CoRR Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada
2017	J	`jnl`	A Flexible ADMM Algorithm for Big Data Applications. J. Sci. Comput. Daniel P. Robinson, Rachael Tappenden
2017	J	`jnl`	A Reduced-Space Algorithm for Minimizing ℓ SIAM J. Optim. Tianyi Chen, Frank E. Curtis, Daniel P. Robinson
2017	J	`jnl`	A dual gradient-projection method for large-scale strictly convex quadratic problems. Comput. Optim. Appl. Nicholas I. M. Gould, Daniel P. Robinson
2017	J	`jnl`	A stabilized SQP method: superlinear convergence. Math. Program. Philip E. Gill, Vyacheslav Kungurtsev, Daniel P. Robinson
2017	J	`jnl`	A trust region algorithm with a worst-case iteration complexity of O(ϵ Math. Program. Frank E. Curtis, Daniel P. Robinson, Mohammadreza Samadi
2017	J	`jnl`	An interior-point trust-funnel algorithm for nonlinear optimization. Math. Program. Frank E. Curtis, Nicholas I. M. Gould, Daniel P. Robinson, Philippe L. Toint
2017	J	`jnl`	Complexity Analysis of a Trust Funnel Algorithm for Equality Constrained Optimization. CoRR Frank E. Curtis, Daniel P. Robinson, Mohammadreza Samadi
2017	A*	`conf`	Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CVPR Chong You, Daniel P. Robinson, René Vidal
2017	J	`jnl`	Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CoRR Chong You, Daniel P. Robinson, René Vidal
2016	Misc	`conf`	A divide-and-conquer framework for large-scale subspace clustering. ACSSC Chong You, Claire Donnat, Daniel P. Robinson, René Vidal
2016	J	`jnl`	Adaptive augmented Lagrangian methods: algorithms and practical numerical experience. Optim. Methods Softw. Frank E. Curtis, Nicholas I. M. Gould, Hao Jiang, Daniel P. Robinson
2016	A*	`conf`	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CVPR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2016	J	`jnl`	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CoRR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2016	A*	`conf`	Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit. CVPR Chong You, Daniel P. Robinson, René Vidal
2016	A*	`conf`	Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models. IJCAI Daniel P. Robinson, Suchi Saria
2016	J	`jnl`	Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models. CoRR Daniel P. Robinson, Suchi Saria
2015	J	`jnl`	A Nonmonotone Filter SQP Method: Local Convergence and Numerical Results. SIAM J. Optim. Nicholas I. M. Gould, Yueling Loh, Daniel P. Robinson
2015	J	`jnl`	A Solver for Nonconvex Bound-Constrained Quadratic Optimization. SIAM J. Optim. Hassan Mohy-ud-Din, Daniel P. Robinson
2015	J	`jnl`	A globally convergent primal-dual active-set framework for large-scale convex quadratic optimization. Comput. Optim. Appl. Frank E. Curtis, Zheng Han, Daniel P. Robinson
2015	J	`jnl`	An adaptive augmented Lagrangian method for large-scale constrained optimization. Math. Program. Frank E. Curtis, Hao Jiang, Daniel P. Robinson
2015	J	`jnl`	Primal-Dual Active-Set Methods for Large-Scale Optimization. J. Optim. Theory Appl. Daniel P. Robinson
2015	A*	`conf`	Sparse Subspace Clustering with Missing Entries. ICML Congyuan Yang, Daniel P. Robinson, René Vidal
2014	J	`jnl`	A Filter Method with Unified Step Computation for Nonlinear Optimization. SIAM J. Optim. Nicholas I. M. Gould, Yueling Loh, Daniel P. Robinson
2014	J	`jnl`	An Inexact Sequential Quadratic Optimization Algorithm for Nonlinear Optimization. SIAM J. Optim. Frank E. Curtis, Travis C. Johnson, Daniel P. Robinson, Andreas Wächter
2013	J	`jnl`	A Globally Convergent Stabilized SQP Method. SIAM J. Optim. Philip E. Gill, Daniel P. Robinson
2013	J	`jnl`	Subspace Accelerated Matrix Splitting Algorithms for Asymmetric and Symmetric Linear Complementarity Problems. SIAM J. Optim. Daniel P. Robinson, Liming Feng, Jorge Nocedal, Jong-Shi Pang
2013	J	`jnl`	Trajectory-following methods for large-scale degenerate convex quadratic programming. Math. Program. Comput. Nicholas I. M. Gould, Dominique Orban, Daniel P. Robinson
2012	J	`jnl`	A primal-dual augmented Lagrangian. Comput. Optim. Appl. Philip E. Gill, Daniel P. Robinson
2010	J	`jnl`	A Second Derivative SQP Method: Global Convergence. SIAM J. Optim. Nicholas I. M. Gould, Daniel P. Robinson
2010	J	`jnl`	A Second Derivative SQP Method: Local Convergence and Practical Issues. SIAM J. Optim. Nicholas I. M. Gould, Daniel P. Robinson
2010	J	`jnl`	On solving trust-region and other regularised subproblems in optimization. Math. Program. Comput. Nicholas I. M. Gould, Daniel P. Robinson, H. Sue Thorne