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high-dimensional datum

158 papers

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Co-occurring keywords

dimensionality reduction (720) feature selection (649) variable selection (146) high dimensional datum (33) nearest neighbor search (186) graphical model (864) high-dimensional regression (142) differential privacy (1016) nearest neighbor (218) random projection (145)

Papers

The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022
A Sampling-Based Approach for Efficient Clustering in Large Datasets CVPR 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion ICML 2022
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022
Two-way Sparse Network Inference for Count Data AISTATS 2022
Robust High-Dimensional Classification From Few Positive Examples IJCAI 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
Differential privacy and robust statistics in high dimensions COLT 2022
Neural score matching for high-dimensional causal inference AISTATS 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021
Post-selection inference with HSIC-Lasso ICML 2021
An Importance Weighted Feature Selection Stability Measure JMLR 2021
Privately Learning Subspaces NIPS 2021
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ICML 2021
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm AAAI 2021
2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020
Distributed Feature Screening via Componentwise Debiasing JMLR 2020
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging JMLR 2020
Prediction regions through Inverse Regression JMLR 2020
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020
Projective Quadratic Regression for Online Learning AAAI 2020