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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023
PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023
Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023
Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023
Isometric Manifold Learning Using Hierarchical Flow AAAI 2023
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023
Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality JMLR 2022
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction CVPR 2022
Distributed Sparse Multicategory Discriminant Analysis AISTATS 2022
On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022
A Forward Approach for Sufficient Dimension Reduction in Binary Classification JMLR 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022
Residual-Based Sampling for Online Outlier-Robust PCA ICML 2022
Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022
Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset EMNLP 2022
Learning Canonical F-Correlation Projection for Compact Multiview Representation CVPR 2022
Quadric Hypersurface Intersection for Manifold Learning in Feature Space AISTATS 2022
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion ICML 2022
Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder JMLR 2022