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Converting High-Dimensional Regression to High-Dimensional Conditional
  Density Estimation

Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

26 April 2017
Rafael Izbicki
Ann B. Lee
ArXivPDFHTML

Papers citing "Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation"

11 / 11 papers shown
Title
Volume Optimality in Conformal Prediction with Structured Prediction Sets
Volume Optimality in Conformal Prediction with Structured Prediction Sets
Chao Gao
Liren Shan
Vaidehi Srinivas
Aravindan Vijayaraghavan
55
1
0
23 Feb 2025
Detecting Errors in a Numerical Response via any Regression Model
Detecting Errors in a Numerical Response via any Regression Model
Hang Zhou
Jonas W. Mueller
Mayank Kumar
Jane-ling Wang
Jing-Sheng Lei
38
0
0
26 May 2023
Hierarchical clustering: visualization, feature importance and model
  selection
Hierarchical clustering: visualization, feature importance and model selection
Luben M. C. Cabezas
Rafael Izbicki
R. Stern
34
21
0
30 Nov 2021
A Deep Generative Approach to Conditional Sampling
A Deep Generative Approach to Conditional Sampling
Xingyu Zhou
Yuling Jiao
Jin Liu
Jian Huang
20
41
0
19 Oct 2021
CD-split and HPD-split: efficient conformal regions in high dimensions
CD-split and HPD-split: efficient conformal regions in high dimensions
Rafael Izbicki
Gilson T. Shimizu
R. Stern
9
49
0
24 Jul 2020
Flexible distribution-free conditional predictive bands using density
  estimators
Flexible distribution-free conditional predictive bands using density estimators
Rafael Izbicki
Gilson T. Shimizu
R. Stern
16
77
0
12 Oct 2019
Marginally-calibrated deep distributional regression
Marginally-calibrated deep distributional regression
Nadja Klein
David J. Nott
M. Smith
UQCV
37
14
0
26 Aug 2019
Explaining individual predictions when features are dependent: More
  accurate approximations to Shapley values
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K. Aas
Martin Jullum
Anders Løland
FAtt
TDI
38
606
0
25 Mar 2019
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
49
34
0
14 May 2018
A Spectral Series Approach to High-Dimensional Nonparametric Regression
A Spectral Series Approach to High-Dimensional Nonparametric Regression
Ann B. Lee
Rafael Izbicki
BDL
AI4TS
122
37
0
01 Feb 2016
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
201
481
0
25 Jun 2008
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