Dimensionality Reduction

A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023 BASiS: Batch Aligned Spectral Embedding Space CVPR 2023 Dimensionality Reduction for General KDE Mode Finding ICML 2023 Dimensionality Reduction for Machine Learning-based Argument Mining EMNLP 2023 Discovering Universal Geometry in Embeddings with ICA EMNLP 2023 Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023 Efficient fair PCA for fair representation learning AISTATS 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023 EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting ICCV 2023 Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity ACL 2023 Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 Isometric Manifold Learning Using Hierarchical Flow AAAI 2023 Kernelized Diffusion Maps COLT 2023 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023 Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023 Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 On the Dimensionality of Sentence Embeddings EMNLP 2023 PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023 Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023 Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023 SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series ICML 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023