ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.11021
  4. Cited By
Independence Testing-Based Approach to Causal Discovery under
  Measurement Error and Linear Non-Gaussian Models

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models

Neural Information Processing Systems (NeurIPS), 2022
20 October 2022
Haoyue Dai
Peter Spirtes
Kun Zhang
    CML
ArXiv (abs)PDFHTML

Papers citing "Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models"

8 / 8 papers shown
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
The Robustness of Differentiable Causal Discovery in Misspecified ScenariosInternational Conference on Learning Representations (ICLR), 2025
Huiyang Yi
Yanyan He
Duxin Chen
Mingyu Kang
He Wang
Wenwu Yu
OODCML
193
1
0
14 Oct 2025
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
Xinshuai Dong
Ignavier Ng
Haoyue Dai
Jiaqi Sun
Xiangchen Song
Peter Spirtes
Kun Zhang
CML
146
0
0
05 Oct 2025
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal
  View
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
Haoyue Dai
Ignavier Ng
Gongxu Luo
Peter Spirtes
P. Stojanov
Kun Zhang
CML
250
10
0
21 Mar 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models
Local Causal Discovery with Linear non-Gaussian Cyclic Models
Haoyue Dai
Ignavier Ng
Yujia Zheng
Zhengqing Gao
Kun Zhang
168
6
0
21 Mar 2024
On the Three Demons in Causality in Finance: Time Resolution,
  Nonstationarity, and Latent Factors
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors
Xinshuai Dong
Haoyue Dai
Yewen Fan
Songyao Jin
Sathyamoorthy Rajendran
Kun Zhang
CML
260
1
0
28 Dec 2023
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden
  Variables
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
Xinshuai Dong
Erdun Gao
Ignavier Ng
Xiangchen Song
Yujia Zheng
Songyao Jin
Roberto Legaspi
Peter Spirtes
Kun Zhang
BDLCML
315
26
0
18 Dec 2023
TSLiNGAM: DirectLiNGAM under heavy tails
TSLiNGAM: DirectLiNGAM under heavy tailsJournal of Computational And Graphical Statistics (JCGS), 2023
Sarah Leyder
Jakob Raymaekers
Tim Verdonck
CML
140
3
0
10 Aug 2023
Unpaired Multi-Domain Causal Representation Learning
Unpaired Multi-Domain Causal Representation LearningNeural Information Processing Systems (NeurIPS), 2023
Nils Sturma
C. Squires
Mathias Drton
Caroline Uhler
OODCML
306
31
0
02 Feb 2023
1
Page 1 of 1