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. 1806.06270
  4. Cited By
Stable Prediction across Unknown Environments

Stable Prediction across Unknown Environments

16 June 2018
Kun Kuang
Ruoxuan Xiong
Peng Cui
Susan Athey
Bo Li
    OOD
ArXivPDFHTML

Papers citing "Stable Prediction across Unknown Environments"

18 / 18 papers shown
Title
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
64
1
0
24 Apr 2025
Empirical likelihood for Fréchet means on open books
Empirical likelihood for Fréchet means on open books
Karthik Bharath
Huiling Le
A. Wood
Xi Yan
108
0
0
25 Dec 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
36
2
0
19 Dec 2023
Understanding the robustness difference between stochastic gradient
  descent and adaptive gradient methods
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
A. Ma
Yangchen Pan
Amir-massoud Farahmand
AAML
25
5
0
13 Aug 2023
Stable Learning via Sparse Variable Independence
Stable Learning via Sparse Variable Independence
Han Yu
Peng Cui
Yue He
Zheyan Shen
Yong Lin
Renzhe Xu
Xingxuan Zhang
OOD
28
13
0
02 Dec 2022
Improving Multi-Interest Network with Stable Learning
Improving Multi-Interest Network with Stable Learning
Zhaocheng Liu
Yingtao Luo
Di Zeng
Qiang Liu
Daqing Chang
Dongying Kong
Zhi Chen
HAI
42
1
0
14 Jul 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
31
38
0
19 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
21
97
0
07 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Shaohua Fan
Xiao Wang
Chuan Shi
Peng Cui
Bai Wang
CML
OOD
OODD
AI4CE
41
81
0
20 Nov 2021
Stable Prediction on Graphs with Agnostic Distribution Shift
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Fei Wu
OOD
34
8
0
08 Oct 2021
Optimization-based Causal Estimation from Heterogenous Environments
Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
82
17
0
24 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
29
515
0
31 Aug 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable
  Decomposition
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
Junkun Yuan
Anpeng Wu
Kun Kuang
B. Li
Runze Wu
Fei Wu
Lanfen Lin
CML
42
38
0
13 Jul 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
16
144
0
21 Jun 2021
Causality-aware counterfactual confounding adjustment as an alternative
  to linear residualization in anticausal prediction tasks based on linear
  learners
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
E. C. Neto
OOD
CML
19
6
0
09 Nov 2020
Stable Prediction with Model Misspecification and Agnostic Distribution
  Shift
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
Kun Kuang
Ruoxuan Xiong
Peng Cui
Susan Athey
Bo-wen Li
OOD
22
128
0
31 Jan 2020
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
22
2,152
0
05 Jul 2019
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
Qi Liu
Zhenya Huang
Yu Yin
Enhong Chen
Hui Xiong
Yu Su
Guoping Hu
AI4Ed
11
379
0
07 Jun 2019
1