conftrace_

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

GAHMN: A Generative Approach for High-Dimensional Mediation Analysis AAAI 2026
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples AAAI 2026
Compressibility Barriers to Neighborhood-Preserving Data Visualization ALT 2026
A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint) AAAI 2026
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees JMLR 2025
Boosting Causal Additive Models JMLR 2025
Enhanced Denesity Peak Clustering for High-Dimensional Data AAAI 2025
On Finding Hubs in High Dimensions with Sampling AAAI 2025
skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series AAAI 2024
On the Computational Complexity of Private High-dimensional Model Selection NIPS 2024
Exploiting Data Geometry in Machine Learning AAAI 2024
Scalable DBSCAN with Random Projections NIPS 2024
Capturing the denoising effect of PCA via compression ratio NIPS 2024
Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024
Multi-Response Linear Discriminant Analysis in High Dimensions JMLR 2024
Mutual Information Estimation via Normalizing Flows NIPS 2024
Variable Importance in High-Dimensional Settings Requires Grouping AAAI 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024
False discovery proportion envelopes with m-consistency JMLR 2024
Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024
ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data JMLR 2024
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024