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A Spectral Series Approach to High-Dimensional Nonparametric Regression

A Spectral Series Approach to High-Dimensional Nonparametric Regression

1 February 2016
Ann B. Lee
Rafael Izbicki
    BDL
    AI4TS
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Papers citing "A Spectral Series Approach to High-Dimensional Nonparametric Regression"

4 / 4 papers shown
Title
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold
  Structure
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
Zeyu Wei
Yen-Chi Chen
32
0
0
19 Mar 2023
Manifold learning with arbitrary norms
Manifold learning with arbitrary norms
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
50
25
0
28 Dec 2020
Product Manifold Learning
Product Manifold Learning
Sharon Zhang
Amit Moscovich
A. Singer
39
14
0
19 Oct 2020
ABC-CDE: Towards Approximate Bayesian Computation with Complex
  High-Dimensional Data and Limited Simulations
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Rafael Izbicki
Ann B. Lee
T. Pospisil
44
34
0
14 May 2018
1