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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Sparse PCA: a Geometric Approach JMLR 2023
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity ACL 2023
BASiS: Batch Aligned Spectral Embedding Space CVPR 2023
A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023
On the Dimensionality of Sentence Embeddings EMNLP 2023
A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization ICCV 2023
Isometric Manifold Learning Using Hierarchical Flow AAAI 2023
PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series ICML 2023
Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs ICML 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NIPS 2023
Dimensionality Reduction for General KDE Mode Finding ICML 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023
Towards a Persistence Diagram that is Robust to Noise and Varied Densities ICML 2023
Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023
Additive manifesto decomposition: A policy domain aware method for understanding party positioning ACL 2023