Saved in:
| Main Authors: | Wang, Zidong, Lin, Xi, He, Chuchao, Gao, Xiaoguang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06790 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Defer for Causal Discovery with Imperfect Experts
by: Clivio, Oscar, et al.
Published: (2025)
by: Clivio, Oscar, et al.
Published: (2025)
Differentiable Constraint-Based Causal Discovery
by: Zhou, Jincheng, et al.
Published: (2025)
by: Zhou, Jincheng, et al.
Published: (2025)
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)
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2025)
by: Yi, Huiyang, et al.
Published: (2025)
CoRe-Gen: Robust Spectrum-to-Structure Generation under Imperfect Fingerprint Conditions
by: Liu, Tianbo, et al.
Published: (2026)
by: Liu, Tianbo, et al.
Published: (2026)
Linear Causal Discovery with Interventional Constraints
by: Guo, Zhigao, et al.
Published: (2025)
by: Guo, Zhigao, 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)
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
by: Yin, Naiyu, et al.
Published: (2023)
by: Yin, Naiyu, et al.
Published: (2023)
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)
Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning
by: Ma, Pingchuan, et al.
Published: (2026)
by: Ma, Pingchuan, et al.
Published: (2026)
Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints
by: Okuda, Tadahisa, et al.
Published: (2026)
by: Okuda, Tadahisa, et al.
Published: (2026)
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms
by: Bystrova, Daria, et al.
Published: (2023)
by: Bystrova, Daria, et al.
Published: (2023)
Federated Causal Discovery Across Heterogeneous Datasets under Latent Confounding
by: Hahn, Maximilian, et al.
Published: (2026)
by: Hahn, Maximilian, et al.
Published: (2026)
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)
by: Cai, Xin-Qiang, et al.
Published: (2025)
Local Causal Discovery with Linear non-Gaussian Cyclic Models
by: Dai, Haoyue, et al.
Published: (2024)
by: Dai, Haoyue, et al.
Published: (2024)
Ordering-based Causal Discovery via Generalized Score Matching
by: Vo, Vy, et al.
Published: (2026)
by: Vo, Vy, et al.
Published: (2026)
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data
by: Ribeiro, Adèle H., et al.
Published: (2025)
by: Ribeiro, Adèle H., et al.
Published: (2025)
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Local Causal Discovery for Statistically Efficient Causal Inference
by: Schubert, Mátyás, et al.
Published: (2025)
by: Schubert, Mátyás, et al.
Published: (2025)
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
by: Qiao, Jie, et al.
Published: (2024)
by: Qiao, Jie, et al.
Published: (2024)
Self-Play Reinforcement Learning under Imperfect Information in Big 2
by: Patwa, Aalok
Published: (2026)
by: Patwa, Aalok
Published: (2026)
Relational Causal Discovery with Latent Confounders
by: Negro, Matteo, et al.
Published: (2025)
by: Negro, Matteo, et al.
Published: (2025)
Robust Multimodal Representation Learning in Healthcare
by: Zhu, Xiaoguang, et al.
Published: (2026)
by: Zhu, Xiaoguang, et al.
Published: (2026)
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
by: Bastola, Ashish, et al.
Published: (2025)
by: Bastola, Ashish, 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)
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
by: Chopra, Harshita, et al.
Published: (2024)
by: Chopra, Harshita, et al.
Published: (2024)
Multi-Domain Causal Discovery in Bijective Causal Models
by: Jalaldoust, Kasra, et al.
Published: (2025)
by: Jalaldoust, Kasra, et al.
Published: (2025)
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 Learner: A Toolbox for Causal Structure and Markov Blanket Learning
by: Ling, Zhaolong, et al.
Published: (2021)
by: Ling, Zhaolong, et al.
Published: (2021)
Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
by: Markovic-Voronov, Jelena, et al.
Published: (2026)
by: Markovic-Voronov, Jelena, et al.
Published: (2026)
Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities
by: Zhu, Xiaoguang, et al.
Published: (2025)
by: Zhu, Xiaoguang, et al.
Published: (2025)
Step-by-Step Causality: Transparent Causal Discovery with Multi-Agent Tree-Query and Adversarial Confidence Estimation
by: Ding, Ziyi, et al.
Published: (2026)
by: Ding, Ziyi, et al.
Published: (2026)
Federated Causal Discovery from Heterogeneous Data
by: Li, Loka, et al.
Published: (2024)
by: Li, Loka, et al.
Published: (2024)
CauScale: Neural Causal Discovery at Scale
by: Peng, Bo, et al.
Published: (2026)
by: Peng, Bo, et al.
Published: (2026)
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
by: Mamaghan, Amir Mohammad Karimi, et al.
Published: (2024)
by: Mamaghan, Amir Mohammad Karimi, et al.
Published: (2024)
Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)
by: Deng, Zizhen, et al.
Published: (2022)
Causal Discovery by Interventions via Integer Programming
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
Mask2Cause: Causal Discovery via Adjacency Constrained Causal Attention
by: Muhammad, Omar, et al.
Published: (2026)
by: Muhammad, Omar, et al.
Published: (2026)
One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints
by: He, Ren, et al.
Published: (2026)
by: He, Ren, et al.
Published: (2026)
Similar Items
-
Learning to Defer for Causal Discovery with Imperfect Experts
by: Clivio, Oscar, et al.
Published: (2025) -
Differentiable Constraint-Based Causal Discovery
by: Zhou, Jincheng, et al.
Published: (2025) -
Causal Discovery from Heteroscedastic Stochastic Dynamical Systems under Imperfect Physical Models
by: Chen, Jianhong, et al.
Published: (2026) -
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2025) -
CoRe-Gen: Robust Spectrum-to-Structure Generation under Imperfect Fingerprint Conditions
by: Liu, Tianbo, et al.
Published: (2026)