conftrace_

curse of dimensionality

61 papers

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Also known as

COD

Co-occurring keywords

partial differential equation (222) deep neural network (1803) approximation theory (77) convergence rate (607) randomized smoothing (87) neural network (6616) nonparametric regression (111) optimal transport (948) dimensionality reduction (720) graphical model (864)

Papers

Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023
Optimal approximation using complex-valued neural networks NIPS 2023
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022
Intriguing Properties of Input-Dependent Randomized Smoothing ICML 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022
Generic bounds on the approximation error for physics-informed (and) operator learning NIPS 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm ICML 2022
Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022
Double Sampling Randomized Smoothing ICML 2022
Solving high-dimensional parabolic PDEs using the tensor train format ICML 2021
Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions AISTATS 2021
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space NIPS 2021
Parametric Complexity Bounds for Approximating PDEs with Neural Networks NIPS 2021
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation COLT 2021
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning NIPS 2021
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality NIPS 2020
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information JMLR 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020
Survey on Feature Transformation Techniques for Data Streams IJCAI 2020
On Convergence of Nearest Neighbor Classifiers over Feature Transformations NIPS 2020
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning NIPS 2020
When Do Neural Networks Outperform Kernel Methods? NIPS 2020
Unsupervised Low-Rank Representations for Speech Emotion Recognition INTERSPEECH 2019
On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness JMLR 2018
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information ICML 2018