Robinson, Daniel P.

9 publications

CVPR 2025 Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression Xiaoyi Qu, David Aponte, Colby Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen

NeurIPS 2024 Geometric Analysis of Nonlinear Manifold Clustering Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal

AISTATS 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson

ICML 2021 A Nullspace Property for Subspace-Preserving Recovery Mustafa D Kaba, Chong You, Daniel P Robinson, Enrique Mallada, Rene Vidal

ICML 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach Tianyu Ding, Zhihui Zhu, Rene Vidal, Daniel P Robinson

ECCV 2018 Scalable Exemplar-Based Subspace Clustering on Class-Imbalanced Data Chong You, Chi Li, Daniel P. Robinson, Rene Vidal

CVPR 2017 Provable Self-Representation Based Outlier Detection in a Union of Subspaces Chong You, Daniel P. Robinson, Rene Vidal

CVPR 2016 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal

IJCAI 2016 Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models Daniel P. Robinson, Suchi Saria