Dimensionality Reduction

Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection JMLR 2021 Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders JMLR 2021 On Geodesic Distances and Contextual Embedding Compression for Text Classification NAACL 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning AAAI 2021 Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021 Regularized spectral methods for clustering signed networks JMLR 2021 Robust principal component analysis for generalized multi-view models UAI 2021 Self-Paced Two-dimensional PCA AAAI 2021 Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval EMNLP 2021 Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates COLT 2021 Subspace Clustering through Sub-Clusters JMLR 2021 Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021 Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021 Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring AAAI 2021 2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020 A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020 A determinantal point process for column subset selection JMLR 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 A Linear-time Independence Criterion Based on a Finite Basis Approximation AISTATS 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint AAAI 2020