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. 1910.11356
  4. Cited By
Integrating overlapping datasets using bivariate causal discovery
v1v2 (latest)

Integrating overlapping datasets using bivariate causal discovery

24 October 2019
Anish Dhir
Ciarán M. Gilligan-Lee
    CML
ArXiv (abs)PDFHTML

Papers citing "Integrating overlapping datasets using bivariate causal discovery"

7 / 7 papers shown
Title
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Christine W. Bang
Vanessa Didelez
CML
150
0
0
27 Mar 2025
SSL Framework for Causal Inconsistency between Structures and Representations
SSL Framework for Causal Inconsistency between Structures and Representations
Hang Chen
Xinyu Yang
Keqing Du
Wenya Wang
124
2
0
03 Jan 2025
Towards Causal Representation Learning and Deconfounding from Indefinite
  Data
Towards Causal Representation Learning and Deconfounding from Indefinite Data
Hang Chen
Xinyu Yang
Qing Yang
OODCML
98
0
0
04 May 2023
Non-parametric identifiability and sensitivity analysis of synthetic
  control models
Non-parametric identifiability and sensitivity analysis of synthetic control models
Jakob Zeitler
Athanasios Vlontzos
Ciarán M. Gilligan-Lee
CML
52
6
0
18 Jan 2023
Disentangling Causal Effects from Sets of Interventions in the Presence
  of Unobserved Confounders
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen
Ciarán M. Gilligan-Lee
Rishabh Mehrotra
M. Lalmas
CML
71
13
0
11 Oct 2022
Causal Discovery with Multi-Domain LiNGAM for Latent Factors
Causal Discovery with Multi-Domain LiNGAM for Latent Factors
Yan Zeng
Shohei Shimizu
Ruichu Cai
Feng Xie
Michio Yamamoto
Zijian Li
CML
78
21
0
19 Sep 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from
  Time-Series Data
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Sindy Löwe
David Madras
R. Zemel
Max Welling
CMLBDLAI4TS
120
133
0
18 Jun 2020
1