ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.10418
  4. Cited By
How do noise tails impact on deep ReLU networks?

How do noise tails impact on deep ReLU networks?

20 March 2022
Jianqing Fan
Yihong Gu
Wen-Xin Zhou
    ODL
ArXivPDFHTML

Papers citing "How do noise tails impact on deep ReLU networks?"

15 / 15 papers shown
Title
Wasserstein Distributionally Robust Nonparametric Regression
Wasserstein Distributionally Robust Nonparametric Regression
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
OOD
24
0
0
12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
45
0
0
08 May 2025
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks
Xuran Meng
Yi Li
BDL
25
0
0
12 Apr 2025
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
M. Takamoto
Daniel Oñoro-Rubio
Wiem Ben-Rim
Takashi Maruyama
Bhushan Kotnis
32
0
0
04 Apr 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
CML
OOD
62
2
0
31 Dec 2024
Approximation Bounds for Recurrent Neural Networks with Application to
  Regression
Approximation Bounds for Recurrent Neural Networks with Application to Regression
Yuling Jiao
Yang Wang
Bokai Yan
21
1
0
09 Sep 2024
Robust deep learning from weakly dependent data
Robust deep learning from weakly dependent data
William Kengne
Modou Wade
OOD
25
2
0
08 May 2024
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
Jianqing Fan
Jiawei Ge
Debarghya Mukherjee
AI4TS
23
6
0
28 Jun 2023
Deep Neural Networks for Nonparametric Interaction Models with Diverging
  Dimension
Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension
Sohom Bhattacharya
Jianqing Fan
Debarghya Mukherjee
24
8
0
12 Feb 2023
Robust High-dimensional Tuning Free Multiple Testing
Robust High-dimensional Tuning Free Multiple Testing
Jianqing Fan
Zhipeng Lou
Mengxin Yu
27
1
0
22 Nov 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite
  Variance Assumption
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
Lihu Xu
Fang Yao
Qiuran Yao
Huiming Zhang
25
9
0
10 Jan 2022
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through
  Composition
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition
Guohao Shen
Yuling Jiao
Yuanyuan Lin
J. Horowitz
Jian Huang
80
21
0
10 Jul 2021
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
85
115
0
28 Feb 2021
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust
  Low-Rank Matrix Recovery
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery
Jianqing Fan
Weichen Wang
Ziwei Zhu
47
97
0
28 Mar 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
123
602
0
14 Feb 2016
1