Multi-Domain Causal Discovery in Bijective Causal Models
Fuente:
arXiv
Saved in:
| Main Authors: | Jalaldoust, Kasra, Salehkaleybar, Saber, Kiyavash, Negar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023)
by: Yang, Yuqin, et al.
Published: (2023)
Causal Effect Identification in LiNGAM Models with Latent Confounders
by: Tramontano, Daniele, et al.
Published: (2024)
by: Tramontano, Daniele, et al.
Published: (2024)
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
by: Tramontano, Daniele, et al.
Published: (2025)
by: Tramontano, Daniele, et al.
Published: (2025)
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
by: Kivva, Yaroslav, et al.
Published: (2025)
by: Kivva, Yaroslav, et al.
Published: (2025)
s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)
by: Abouei, Amir Mohammad, et al.
Published: (2023)
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
by: Sharifian, Ehsan, et al.
Published: (2025)
by: Sharifian, Ehsan, et al.
Published: (2025)
Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)
by: Elahi, Sepehr, et al.
Published: (2024)
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
by: Shahverdikondori, Mohammad, et al.
Published: (2024)
by: Shahverdikondori, Mohammad, et al.
Published: (2024)
Inference Time Causal Probing in LLMs
by: Khorasani, Sadegh, et al.
Published: (2026)
by: Khorasani, Sadegh, et al.
Published: (2026)
Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants
by: Jalaldoust, Kasra, et al.
Published: (2026)
by: Jalaldoust, Kasra, et al.
Published: (2026)
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Hierarchical Reinforcement Learning with Targeted Causal Interventions
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
by: Takayama, Masayuki, et al.
Published: (2024)
by: Takayama, Masayuki, et al.
Published: (2024)
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
by: Zhang, Xiaoge, et al.
Published: (2023)
by: Zhang, Xiaoge, et al.
Published: (2023)
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
by: Yang, Yuqin, et al.
Published: (2024)
by: Yang, Yuqin, et al.
Published: (2024)
Partial Transportability for Domain Generalization
by: Jalaldoust, Kasra, et al.
Published: (2025)
by: Jalaldoust, Kasra, et al.
Published: (2025)
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
by: Ng, Woon Yee, et al.
Published: (2025)
by: Ng, Woon Yee, et al.
Published: (2025)
CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2026)
by: Yi, Huiyang, et al.
Published: (2026)
Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery
by: Li, Xiaoxuan, et al.
Published: (2024)
by: Li, Xiaoxuan, et al.
Published: (2024)
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
by: Hoang, Nu, et al.
Published: (2024)
by: Hoang, Nu, et al.
Published: (2024)
Efficient Causal Graph Discovery Using Large Language Models
by: Jiralerspong, Thomas, et al.
Published: (2024)
by: Jiralerspong, Thomas, et al.
Published: (2024)
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
by: Yin, Naiyu, et al.
Published: (2023)
by: Yin, Naiyu, et al.
Published: (2023)
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2025)
by: Yi, Huiyang, et al.
Published: (2025)
Causal Discovery with Fewer Conditional Independence Tests
by: Shiragur, Kirankumar, et al.
Published: (2024)
by: Shiragur, Kirankumar, et al.
Published: (2024)
Scalable Variational Causal Discovery Unconstrained by Acyclicity
by: Hoang, Nu, et al.
Published: (2024)
by: Hoang, Nu, et al.
Published: (2024)
Interventional Causal Discovery in a Mixture of DAGs
by: Varıcı, Burak, et al.
Published: (2024)
by: Varıcı, Burak, et al.
Published: (2024)
Can Large Language Models Help Experimental Design for Causal Discovery?
by: Li, Junyi, et al.
Published: (2025)
by: Li, Junyi, et al.
Published: (2025)
A Causal Formulation of Spike-Wave Duality
by: Jalaldoust, Kasra, et al.
Published: (2025)
by: Jalaldoust, Kasra, et al.
Published: (2025)
Causal Reasoning in Pieces: Modular In-Context Learning for Causal Discovery
by: Kadziolka, Kacper, et al.
Published: (2025)
by: Kadziolka, Kacper, et al.
Published: (2025)
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
by: Shen, ChengAo, et al.
Published: (2024)
by: Shen, ChengAo, et al.
Published: (2024)
Learning Causal Abstractions of Linear Structural Causal Models
by: Massidda, Riccardo, et al.
Published: (2024)
by: Massidda, Riccardo, et al.
Published: (2024)
On the Number of Conditional Independence Tests in Constraint-based Causal Discovery
by: Monés, Marc Franquesa, et al.
Published: (2026)
by: Monés, Marc Franquesa, et al.
Published: (2026)
Causal Discovery from Heteroscedastic Stochastic Dynamical Systems under Imperfect Physical Models
by: Chen, Jianhong, et al.
Published: (2026)
by: Chen, Jianhong, et al.
Published: (2026)
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
by: Li, Peiwen, et al.
Published: (2024)
by: Li, Peiwen, et al.
Published: (2024)
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
by: Olko, Mateusz, et al.
Published: (2022)
by: Olko, Mateusz, et al.
Published: (2022)
Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints
by: Okuda, Tadahisa, et al.
Published: (2026)
by: Okuda, Tadahisa, et al.
Published: (2026)
HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model Priors
by: Kim, Hyunjun
Published: (2025)
by: Kim, Hyunjun
Published: (2025)
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
by: Gkountouras, John, et al.
Published: (2024)
by: Gkountouras, John, et al.
Published: (2024)
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
by: Zhang, Jiaqi, et al.
Published: (2023)
by: Zhang, Jiaqi, et al.
Published: (2023)
Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)
by: Binkytė, Rūta, et al.
Published: (2023)
Similar Items
-
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
by: Yang, Yuqin, et al.
Published: (2023) -
Causal Effect Identification in LiNGAM Models with Latent Confounders
by: Tramontano, Daniele, et al.
Published: (2024) -
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
by: Tramontano, Daniele, et al.
Published: (2025) -
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
by: Kivva, Yaroslav, et al.
Published: (2025) -
s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)