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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NIPS 2024
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
Principle Component Trees and Their Persistent Homology AAAI 2024
Capturing the denoising effect of PCA via compression ratio NIPS 2024
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
ESPACE: Dimensionality Reduction of Activations for Model Compression NIPS 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
Consistency of Dictionary-Based Manifold Learning AISTATS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification AAAI 2024
Evaluating Dynamic Topic Models ACL 2024
Simple and scalable algorithms for cluster-aware precision medicine AISTATS 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NIPS 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NIPS 2024
The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024
Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024
On Sparse Canonical Correlation Analysis NIPS 2024
Efficient Centroid-Linkage Clustering NIPS 2024