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principal subspace

7 papers

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Co-occurring keywords · papers mentioning both

dimensionality reduction (4) neural network (3) sparse principal component analysis (3) principal component analysis (3) convex relaxation (2) stochastic gradient descent (2) alternating direction method of multiplier (1) weight decay (1) polynomial time algorithm (1) minimax optimal rate (1)

Papers

A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces AISTATS 2023 Neural Networks Efficiently Learn Low-Dimensional Representations with SGD ICLR 2023 Spectral Clustering Based on Local PCA JMLR 2017 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 Sparse PCA with Oracle Property NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013