Multiscale regression on unknown manifolds

13 January 2021

Papers citing "Multiscale regression on unknown manifolds"

8 / 8 papers shown

Title
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories Zixuan Zhang Minshuo Chen Mengdi Wang Wenjing Liao Tuo Zhao 29 1 0 26 Jun 2023
Learning effective dynamics from data-driven stochastic systems Lingyu Feng Ting Gao Min Dai Jinqiao Duan SyDa AI4CE 135 4 0 09 May 2022
StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm Andreas Oslandsbotn Ž. Kereta Valeriya Naumova Y. Freund A. Cloninger 25 2 0 23 Aug 2021
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions Luigi Carratino Stefano Vigogna Daniele Calandriello Lorenzo Rosasco 43 7 0 23 Jun 2021
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries Pranay Tankala Abiy Tasissa James M. Murphy Demba E. Ba 79 11 0 03 Dec 2020
Estimating multi-index models with response-conditional least squares T. Klock A. Lanteri Stefano Vigogna 46 8 0 10 Mar 2020
Conditional regression for single-index models A. Lanteri Mauro Maggioni Stefano Vigogna 48 4 0 23 Feb 2020
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery Minshuo Chen Haoming Jiang Wenjing Liao T. Zhao 149 92 0 05 Aug 2019