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principal component analysis

316 papers

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Also known as

FPCA K-PCA WPCA PCA

Co-occurring keywords

dimensionality reduction (720) outlier detection (318) representation learning (6174) streaming algorithm (131) online learning (1770) low-rank approximation (322) differential privacy (1010) feature extraction (1578) matrix factorization (529) variational inference (2069)

Papers

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality AAAI 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021
Detection of Signal in the Spiked Rectangular Models ICML 2021
Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NIPS 2021
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix AISTATS 2021
Integrated Principal Components Analysis JMLR 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs ICCV 2021
Unlabeled Principal Component Analysis NIPS 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021
A Comprehensively Tight Analysis of Gradient Descent for PCA NIPS 2021
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality NAACL 2021
Principal component analysis in the stochastic differential privacy model UAI 2021
A Framework for Private Matrix Analysis in Sliding Window Model ICML 2021
Distributed Principal Component Analysis with Limited Communication NIPS 2021
Self-Paced Two-dimensional PCA AAAI 2021
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021
A New Robust Subspace Recovery Algorithm (Student Abstract) AAAI 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021
List-Decodable Mean Estimation in Nearly-PCA Time NIPS 2021
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network AAAI 2021
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021
Empirical Bayes Matrix Factorization JMLR 2021