Quantile regression with deep ReLU Networks: Estimators and minimax
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Quantile regression with deep ReLU Networks: Estimators and minimax rates

16 October 2020

Oscar Hernan Madrid Padilla

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Papers citing "Quantile regression with deep ReLU Networks: Estimators and minimax rates"

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Title
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 187 0 0 10 Oct 2024
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 637 15 0 04 Oct 2023
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 145 611 0 04 Dec 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 163 763 0 25 Feb 2019
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 176 255 0 26 Sep 2018
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems Filipe Rodrigues Francisco Câmara Pereira AI4TS 120 96 0 27 Aug 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 269 3,488 0 09 Mar 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 238 816 0 22 Aug 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 213 434 0 08 Mar 2017
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 138 385 0 13 Oct 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 316 6,709 0 08 Jun 2015
Quantile and Probability Curves Without Crossing Victor Chernozhukov Iván Fernández-Val Alfred Galichon 614 522 0 27 Apr 2007