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subspace estimation

10 papers

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Co-occurring keywords · papers mentioning both

principal component analysis (4) high-dimensional data (2) matrix completion (2) gradient descent (2) convex optimization (2) online learning (2) stochastic gradient descent (2) dimensionality reduction (2) differential privacy (2) grassmannian manifold (1)

Papers

On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 Learning Mixtures of Markov Chains and MDPs ICML 2023 On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022 Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation JMLR 2022 (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021 Rate-Optimal Subspace Estimation on Random Graphs NeurIPS 2021 Streaming Principal Component Analysis From Incomplete Data JMLR 2019 Stochastic PCA with ℓ_2 and ℓ_1 Regularization ICML 2018 Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006