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dimension reduction

120 papers

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Also known as

DR

Co-occurring keywords

dimensionality reduction (720) random projection (145) unsupervised learning (3264) principal component analysis (316) manifold learning (403) functional data analysis (35) high-dimensional datum (158) kernel methods (1097) feature selection (649) variable selection (146)

Papers

Subspace Clustering through Sub-Clusters JMLR 2021
Dimension reduction for data with heterogeneous missingness UAI 2021
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization JMLR 2021
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation JMLR 2021
Statistical guarantees for generative models without domination ALT 2021
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis AAAI 2020
Noise Accumulation in High Dimensional Classification and Total Signal Index JMLR 2020
Speaker-Aware Linear Discriminant Analysis in Speaker Verification INTERSPEECH 2020
Survey on Feature Transformation Techniques for Data Streams IJCAI 2020
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction COLING 2020
A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem CVPR 2019
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
News2vec: News Network Embedding with Subnode Information IJCNLP 2019
On Geometric Alignment in Low Doubling Dimension AAAI 2019
Landmark Ordinal Embedding NIPS 2019
Selecting the independent coordinates of manifolds with large aspect ratios NIPS 2019
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace AAAI 2019
Large-scale optimal transport map estimation using projection pursuit NIPS 2019
Optimal Bounds for Johnson-Lindenstrauss Transformations JMLR 2018
Iterative Supervised Principal Components AISTATS 2018
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018
Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018