Approximation Bounds for Recurrent Neural Networks with Application to
Regression

Approximation Bounds for Recurrent Neural Networks with Application to Regression

9 September 2024

Yang Wang

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Papers citing "Approximation Bounds for Recurrent Neural Networks with Application to Regression"

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Title
Minimal Width for Universal Property of Deep RNN Changhoon Song Geonho Hwang Jun ho Lee Myung-joo Kang 83 11 0 25 Nov 2022
How do noise tails impact on deep ReLU networks? Jianqing Fan Yihong Gu Wen-Xin Zhou ODL 94 13 0 20 Mar 2022
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth Zuowei Shen Haizhao Yang Shijun Zhang 175 118 0 28 Feb 2021
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data Michael Kohler A. Krzyżak 42 12 0 31 Oct 2020
Deep Network Approximation for Smooth Functions Jianfeng Lu Zuowei Shen Haizhao Yang Shijun Zhang 143 248 0 09 Jan 2020
The phase diagram of approximation rates for deep neural networks Dmitry Yarotsky Anton Zhevnerchuk 67 122 0 22 Jun 2019
Deep Network Approximation Characterized by Number of Neurons Zuowei Shen Haizhao Yang Shijun Zhang 60 186 0 13 Jun 2019
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 201 294 0 10 Feb 2018
Optimal approximation of piecewise smooth functions using deep ReLU neural networks P. Petersen Felix Voigtländer 225 475 0 15 Sep 2017
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 240 816 0 22 Aug 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 115 2,025 0 21 Mar 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 220 434 0 08 Mar 2017
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014
Predictive PAC Learning and Process Decompositions C. Shalizi A. Kontorovich 78 36 0 19 Sep 2013
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary $β$ -Mixing Processes L. Ralaivola Marie Szafranski G. Stempfel 158 80 0 10 Sep 2009