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Regression on manifolds: Estimation of the exterior derivative

Regression on manifolds: Estimation of the exterior derivative

8 March 2011
A. Aswani
Peter J. Bickel
Claire Tomlin
ArXiv (abs)PDFHTML

Papers citing "Regression on manifolds: Estimation of the exterior derivative"

14 / 14 papers shown
Title
Proximal Estimation and Inference
Proximal Estimation and Inference
Alberto Quaini
F. Trojani
56
1
0
26 May 2022
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through
  Composition
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition
Guohao Shen
Yuling Jiao
Yuanyuan Lin
J. Horowitz
Jian Huang
260
23
0
10 Jul 2021
Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic
  Error Bounds with Polynomial Prefactors
Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors
Yuling Jiao
Guohao Shen
Yuanyuan Lin
Jian Huang
121
52
0
14 Apr 2021
LDLE: Low Distortion Local Eigenmaps
LDLE: Low Distortion Local Eigenmaps
Dhruv Kohli
A. Cloninger
Zhengchao Wan
107
18
0
26 Jan 2021
Robust Optimization and Inference on Manifolds
Robust Optimization and Inference on Manifolds
Lizhen Lin
Drew Lazar
Bayan Sarpabayeva
David B. Dunson
28
7
0
11 Jun 2020
Local Interpretation Methods to Machine Learning Using the Domain of the
  Feature Space
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
T. Botari
Rafael Izbicki
A. Carvalho
FAtt
39
12
0
31 Jul 2019
Averaging Stochastic Gradient Descent on Riemannian Manifolds
Averaging Stochastic Gradient Descent on Riemannian Manifolds
Nilesh Tripuraneni
Nicolas Flammarion
Francis R. Bach
Michael I. Jordan
69
100
0
26 Feb 2018
Approximation of Functions over Manifolds: A Moving Least-Squares
  Approach
Approximation of Functions over Manifolds: A Moving Least-Squares Approach
B. Sober
Yariv Aizenbud
D. Levin
80
21
0
02 Nov 2017
Statistics with Set-Valued Functions: Applications to Inverse
  Approximate Optimization
Statistics with Set-Valued Functions: Applications to Inverse Approximate Optimization
A. Aswani
88
17
0
02 Feb 2017
A Spectral Series Approach to High-Dimensional Nonparametric Regression
A Spectral Series Approach to High-Dimensional Nonparametric Regression
Ann B. Lee
Rafael Izbicki
BDLAI4TS
296
37
0
01 Feb 2016
Improved graph Laplacian via geometric self-consistency
Improved graph Laplacian via geometric self-consistency
Dominique C. Perrault-Joncas
M. Meilă
66
18
0
31 May 2014
The Topology of Probability Distributions on Manifolds
The Topology of Probability Distributions on Manifolds
O. Bobrowski
S. Mukherjee
135
60
0
03 Jul 2013
Local Linear Regression on Manifolds and its Geometric Interpretation
Local Linear Regression on Manifolds and its Geometric Interpretation
Ming-Yen Cheng
Hau‐Tieng Wu
109
89
0
01 Jan 2012
Provably Safe and Robust Learning-Based Model Predictive Control
Provably Safe and Robust Learning-Based Model Predictive Control
A. Aswani
Humberto González
S. Shankar Sastry
Claire Tomlin
136
527
0
13 Jul 2011
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