Deep Neural Networks Learn Non-Smooth Functions Effectively

13 February 2018

Papers citing "Deep Neural Networks Learn Non-Smooth Functions Effectively"

19 / 19 papers shown

Title
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 59 0 0 21 Apr 2025
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning Yunzhe Zhou C. Shi Lexin Li Q. Yao AI4TS 30 8 0 30 May 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 35 1 0 24 Mar 2023
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning Yang Xu C. Shi S. Luo Lan Wang R. Song OffRL 27 4 0 29 Dec 2022
On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent Selina Drews Michael Kohler 17 13 0 30 Aug 2022
Optimal Convergence Rates of Deep Neural Networks in a Classification Setting Josephine T. Meyer 14 2 0 25 Jul 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation Jimmy Ba Murat A. Erdogdu Taiji Suzuki Zhichao Wang Denny Wu Greg Yang MLT 27 121 0 03 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 21 84 0 13 Apr 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 26 4 0 07 Feb 2022
Interplay between depth of neural networks and locality of target functions Takashi Mori Masakuni Ueda 17 0 0 28 Jan 2022
Drift estimation for a multi-dimensional diffusion process using deep neural networks Akihiro Oga Yuta Koike DiffM 11 5 0 26 Dec 2021
Optimal learning of high-dimensional classification problems using deep neural networks P. Petersen F. Voigtlaender 17 9 0 23 Dec 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks Rahul Parhi Robert D. Nowak 48 38 0 18 Sep 2021
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions Tong Mao Zhongjie Shi Ding-Xuan Zhou 10 33 0 02 Jul 2021
Expressivity of Deep Neural Networks Ingo Gühring Mones Raslan Gitta Kutyniok 16 50 0 09 Jul 2020
Fractional Deep Neural Network via Constrained Optimization Harbir Antil R. Khatri R. Löhner Deepanshu Verma 20 29 0 01 Apr 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 33 180 0 22 Aug 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 18 961 0 24 Jan 2019
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 114 577 0 27 Feb 2015