Dimensionality Reduction

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NeurIPS 2021 DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021 Dimensionality Reduction for the Sum-of-Distances Metric ICML 2021 Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 Entangled Kernels - Beyond Separability JMLR 2021 Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021 Faster Binary Embeddings for Preserving Euclidean Distances ICLR 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 Geometric structure of graph Laplacian embeddings JMLR 2021 GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data IJCAI 2021 Guided Visual Exploration of Relations in Data Sets JMLR 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021 Integrated Principal Components Analysis JMLR 2021 Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021 LDLE: Low Distortion Local Eigenmaps JMLR 2021 Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021 Low-Rank Subspaces for Unsupervised Entity Linking EMNLP 2021 Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021 Measuring Dependence with Matrix-based Entropy Functional AAAI 2021 Multidimensional Scaling: Approximation and Complexity ICML 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021