curse of dimensionality

Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 On Sufficient Graphical Models JMLR 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024 Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions ICLR 2024 A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023 Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023 A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks ICLR 2023 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023 Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering JMLR 2023 Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023 Learning Optimal Feedback Operators and their Sparse Polynomial Approximations JMLR 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023 Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023 Optimal approximation using complex-valued neural networks NeurIPS 2023 Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023 Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality JMLR 2023 Double Sampling Randomized Smoothing ICML 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Intriguing Properties of Input-Dependent Randomized Smoothing ICML 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022