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high-dimensional data

206 papers

Papers

A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint) AAAI 2026 Compressibility Barriers to Neighborhood-Preserving Data Visualization ALT 2026 GAHMN: A Generative Approach for High-Dimensional Mediation Analysis AAAI 2026 Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories UAI 2026 Towards Synthesizing High-Dimensional Tabular Data with Limited Samples AAAI 2026 Boosting Causal Additive Models JMLR 2025 DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025 Enhanced Denesity Peak Clustering for High-Dimensional Data AAAI 2025 Learning Pareto manifolds in high dimensions: How can regularization help? AISTATS 2025 On Finding Hubs in High Dimensions with Sampling AAAI 2025 Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data ICML 2025 Predictive Performance of Deep Quantum Data Re-uploading Models ICML 2025 Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees JMLR 2025 skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025 Strong Screening Rules for Group-based SLOPE Models AISTATS 2025 An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024 Capturing the denoising effect of PCA via compression ratio NeurIPS 2024 Causal-StoNet: Causal Inference for High-Dimensional Complex Data ICLR 2024 CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series AAAI 2024 Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation UAI 2024 ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data JMLR 2024 Exploiting Data Geometry in Machine Learning AAAI 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 False discovery proportion envelopes with m-consistency JMLR 2024 Fast Exact Retrieval for Nearest-neighbor Lookup (FERN) NAACL 2024