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dimension reduction

120 papers

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DR

Co-occurring keywords

dimensionality reduction (720) random projection (145) unsupervised learning (3264) principal component analysis (316) manifold learning (403) functional data analysis (35) high-dimensional datum (158) kernel methods (1097) feature selection (649) variable selection (146)

Papers

Contrastive dimension reduction: when and how? NIPS 2024
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023
Auto-Weighted Multi-View Clustering for Large-Scale Data AAAI 2023
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization ICCV 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023
EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding ACL 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
Diffusion Representation for Asymmetric Kernels via Magnetic Transform NIPS 2023
Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation IJCAI 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023
On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data AISTATS 2022
Dimension reduction for high-dimensional small counts with KL divergence UAI 2022
Semiparametric causal sufficient dimension reduction of multidimensional treatments UAI 2022
A Probabilistic Graph Coupling View of Dimension Reduction NIPS 2022
Non-Euclidean Self-Organizing Maps IJCAI 2022
Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset EMNLP 2022
Sufficient reductions in regression with mixed predictors JMLR 2022
Manifold Coordinates with Physical Meaning JMLR 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
OPEN: Orthogonal Propagation with Ego-Network Modeling NIPS 2022
Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NIPS 2022
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder EMNLP 2022
Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis NIPS 2022
Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021