curse of dimensionality

Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence JMLR 2026 Learning general conditional independence structures via the neighbourhood lattice JMLR 2026 Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Nonparametric Estimation of a Factorizable Density using Diffusion Models JMLR 2026 On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA COLT 2026 Optimal Neural Network Approximation of Smooth Compositional Functions on Sets with Low Intrinsic Dimension COLT 2026 Statistical Learning Theory for Neural Operators JMLR 2026 Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective JMLR 2026 Analytical Integral Global Optimization L4DC 2025 ClusterSC: Advancing Synthetic Control with Donor Selection AISTATS 2025 Differential Privacy Under Class Imbalance: Methods and Empirical Insights ICML 2025 Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025 How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning ICLR 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025 Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics JMLR 2025 Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks AISTATS 2025 Robust Point Matching with Distance Profiles JMLR 2025 Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping ICLR 2024 Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024 Breaking the curse of dimensionality in structured density estimation NeurIPS 2024 Causally Aligned Curriculum Learning ICLR 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024 Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing ICML 2024 Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm ICML 2024