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2203.10418
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How do noise tails impact on deep ReLU networks?
20 March 2022
Jianqing Fan
Yihong Gu
Wen-Xin Zhou
ODL
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Papers citing
"How do noise tails impact on deep ReLU networks?"
15 / 15 papers shown
Title
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
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
Xuran Meng
Yi Li
BDL
25
0
0
12 Apr 2025
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
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
Yuling Jiao
Yang Wang
Bokai Yan
21
1
0
09 Sep 2024
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
Jianqing Fan
Jiawei Ge
Debarghya Mukherjee
AI4TS
23
6
0
28 Jun 2023
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
Jianqing Fan
Zhipeng Lou
Mengxin Yu
27
1
0
22 Nov 2022
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
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
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
Jianqing Fan
Weichen Wang
Ziwei Zhu
47
97
0
28 Mar 2016
Benefits of depth in neural networks
Matus Telgarsky
123
602
0
14 Feb 2016
1