approximation error

Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions ICML 2024 Certified Training: Small Boxes are All You Need ICLR 2023 Error Estimation for Random Fourier Features AISTATS 2023 How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? ICLR 2023 k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NeurIPS 2023 LSDS++ : Dual Sampling for Accelerated k-means++ ICML 2023 On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network ICML 2023 On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error JMLR 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation CVPR 2023 Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023 Challenging Common Assumptions in Convex Reinforcement Learning NeurIPS 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes ICLR 2022 Neural Network Architecture Beyond Width and Depth NeurIPS 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Streaming Algorithms for Support-Aware Histograms ICML 2022 Towards Lightweight Black-Box Attack Against Deep Neural Networks NeurIPS 2022 VAE Approximation Error: ELBO and Exponential Families ICLR 2022 A Spectral Analysis of Dot-product Kernels AISTATS 2021 Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space NeurIPS 2021 On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift JMLR 2021 Pathwise Conditioning of Gaussian Processes JMLR 2021 Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality JMLR 2020