dimensionality reduction

Feature Clustering for Support Identification in Extreme Regions ICML 2021 Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021 Fractal Autoencoders for Feature Selection AAAI 2021 GeomCA: Geometric Evaluation of Data Representations 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 High-dimensional Experimental Design and Kernel Bandits ICML 2021 HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021 How can classical multidimensional scaling go wrong? NeurIPS 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Improving Ultrametrics Embeddings Through Coresets ICML 2021 In-Database Regression in Input Sparsity Time ICML 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021 Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021 Latent variable modeling with random features AISTATS 2021 LDLE: Low Distortion Local Eigenmaps JMLR 2021 Learning GPLVM with arbitrary kernels using the unscented transformation AISTATS 2021 Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021 Matrix factorisation and the interpretation of geodesic distance NeurIPS 2021 Multidimensional Scaling: Approximation and Complexity ICML 2021 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 Non-PSD matrix sketching with applications to regression and optimization UAI 2021 On Geodesic Distances and Contextual Embedding Compression for Text Classification NAACL 2021