Dimensionality Reduction

Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 Principle Component Trees and Their Persistent Homology AAAI 2024 Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024 Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Simple and scalable algorithms for cluster-aware precision medicine AISTATS 2024 Solving Sparse \& High-Dimensional-Output Regression via Compression NeurIPS 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NeurIPS 2024 Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024 The ALℓ_0CORE Tensor Decomposition for Sparse Count Data AISTATS 2024 The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024 The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024 Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024 Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024 Additive manifesto decomposition: A policy domain aware method for understanding party positioning ACL 2023 A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions NeurIPS 2023 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023 A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023 Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization ICCV 2023 A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023