principal component analysis

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NeurIPS 2021 DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021 Detection of Signal in the Spiked Rectangular Models ICML 2021 Distributed Principal Component Analysis with Limited Communication NeurIPS 2021 EigenGame: PCA as a Nash Equilibrium ICLR 2021 EigenGAN: Layer-Wise Eigen-Learning for GANs ICCV 2021 Empirical Bayes Matrix Factorization JMLR 2021 Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality NAACL 2021 Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021 Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021 HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021 Integrated Principal Components Analysis JMLR 2021 Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network AAAI 2021 List-Decodable Mean Estimation in Nearly-PCA Time NeurIPS 2021 PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NeurIPS 2021 Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021 Principal component analysis in the stochastic differential privacy model UAI 2021 Self-Paced Two-dimensional PCA AAAI 2021 Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval EMNLP 2021 Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates COLT 2021 The Complexity of Sparse Tensor PCA NeurIPS 2021 Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021 Unlabeled Principal Component Analysis NeurIPS 2021 An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint AAAI 2020 An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020