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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

LDLE: Low Distortion Local Eigenmaps JMLR 2021
Integrated Principal Components Analysis JMLR 2021
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality AAAI 2021
Measuring Dependence with Matrix-based Entropy Functional AAAI 2021
Regularized spectral methods for clustering signed networks JMLR 2021
Geometric structure of graph Laplacian embeddings JMLR 2021
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021
Subspace Clustering through Sub-Clusters JMLR 2021
Guided Visual Exploration of Relations in Data Sets JMLR 2021
Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021
Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021
Entangled Kernels - Beyond Separability JMLR 2021
Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection JMLR 2021
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning AAAI 2021
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration JMLR 2021
Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021
On Geodesic Distances and Contextual Embedding Compression for Text Classification NAACL 2021
Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021