Deep Quantile Regression: Mitigating the Curse of Dimensionality Through
Composition

Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition

10 July 2021

Yuling Jiao

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

6 / 6 papers shown

Title
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 42 0 0 24 Aug 2024
Time Series Generative Learning with Application to Brain Imaging Analysis Zhenghao Li Sanyou Wu Long Feng MedIm 35 0 0 19 Jul 2024
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 29 1 0 05 Jul 2023
How do noise tails impact on deep ReLU networks? Jianqing Fan Yihong Gu Wen-Xin Zhou ODL 38 13 0 20 Mar 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 35 10 0 10 Jan 2022
A Deep Generative Approach to Conditional Sampling Xingyu Zhou Yuling Jiao Jin Liu Jian Huang 10 41 0 19 Oct 2021