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Deep Quantile Regression: Mitigating the Curse of Dimensionality Through
  Composition

Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition

10 July 2021
Guohao Shen
Yuling Jiao
Yuanyuan Lin
J. Horowitz
Jian Huang
ArXivPDFHTML

Papers citing "Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition"

4 / 4 papers shown
Title
Optimal Kernel Quantile Learning with Random Features
Optimal Kernel Quantile Learning with Random Features
Caixing Wang
Xingdong Feng
32
0
0
24 Aug 2024
Distance Preserving Machine Learning for Uncertainty Aware Accelerator
  Capacitance Predictions
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
S. Goldenberg
M. Schram
Kishansingh Rajput
T. Britton
C. Pappas
Dawei Lu
Jared Walden
M. Radaideh
Sarah Cousineau
S. Harave
27
1
0
05 Jul 2023
How do noise tails impact on deep ReLU networks?
How do noise tails impact on deep ReLU networks?
Jianqing Fan
Yihong Gu
Wen-Xin Zhou
ODL
15
13
0
20 Mar 2022
A Deep Generative Approach to Conditional Sampling
A Deep Generative Approach to Conditional Sampling
Xingyu Zhou
Yuling Jiao
Jin Liu
Jian Huang
8
41
0
19 Oct 2021
1