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. 2305.19582
  4. Cited By
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants

Causal Discovery with Latent Confounders Based on Higher-Order Cumulants

31 May 2023
Ruichu Cai
Zhiyi Huang
Wei-Neng Chen
Z. Hao
Kun Zhang
    CML
ArXivPDFHTML

Papers citing "Causal Discovery with Latent Confounders Based on Higher-Order Cumulants"

8 / 8 papers shown
Title
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved
  Confounding
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
Daniela Schkoda
Elina Robeva
Mathias Drton
CML
34
0
0
09 Aug 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and
  Evaluation Framework
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework
Wei Zhou
Hong Huang
Guowen Zhang
Ruize Shi
Kehan Yin
Yuanyuan Lin
Bang Liu
CML
50
1
0
07 Jun 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders
Causal Effect Identification in LiNGAM Models with Latent Confounders
D. Tramontano
Yaroslav Kivva
Saber Salehkaleybar
Mathias Drton
Negar Kiyavash
CML
29
0
0
04 Jun 2024
Local Causal Structure Learning in the Presence of Latent Variables
Local Causal Structure Learning in the Presence of Latent Variables
Feng Xie
Zheng Li
Peng Wu
Yan Zeng
Chunchen Liu
Zhi Geng
CML
23
2
0
25 May 2024
Causal Discovery under Latent Class Confounding
Causal Discovery under Latent Class Confounding
Bijan Mazaheri
Spencer Gordon
Y. Rabani
Leonard J. Schulman
CML
13
2
0
13 Nov 2023
A Cross-Moment Approach for Causal Effect Estimation
A Cross-Moment Approach for Causal Effect Estimation
Yaroslav Kivva
Saber Salehkaleybar
Negar Kiyavash
CML
13
3
0
09 Jun 2023
Time-Series Domain Adaptation via Sparse Associative Structure
  Alignment: Learning Invariance and Variance
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance
Zijian Li
Ruichu Cai
Jiawei Chen
Yuguang Yan
Wei Chen
Keli Zhang
Junjian Ye
CML
TTA
AI4TS
29
5
0
07 May 2022
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
147
434
0
20 Feb 2013
1