Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
Fuente:
arXiv
Saved in:
| Main Authors: | Panayiotou, Panayiotis, Şimşek, Özgür |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Curricula for Learning Robust Policies with Factored State Representations in Changing Environments
by: Panayiotou, Panayiotis, et al.
Published: (2024)
by: Panayiotou, Panayiotis, et al.
Published: (2024)
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
by: Panayiotou, Panayiotis, et al.
Published: (2025)
by: Panayiotou, Panayiotis, et al.
Published: (2025)
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
by: Poinsot, Audrey, et al.
Published: (2025)
by: Poinsot, Audrey, et al.
Published: (2025)
Learning The Minimum Action Distance
by: Steccanella, Lorenzo, et al.
Published: (2025)
by: Steccanella, Lorenzo, et al.
Published: (2025)
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
by: Evans, Joshua B., et al.
Published: (2023)
by: Evans, Joshua B., et al.
Published: (2023)
Accelerating Task Generalisation with Multi-Level Skill Hierarchies
by: Cannon, Thomas P, et al.
Published: (2024)
by: Cannon, Thomas P, et al.
Published: (2024)
Hierarchical Orchestra of Policies
by: Cannon, Thomas P, et al.
Published: (2024)
by: Cannon, Thomas P, et al.
Published: (2024)
Linear Causal Discovery with Interventional Constraints
by: Guo, Zhigao, et al.
Published: (2025)
by: Guo, Zhigao, et al.
Published: (2025)
Causal Discovery by Interventions via Integer Programming
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
Regret-Based Federated Causal Discovery with Unknown Interventions
by: Baldo, Federico, et al.
Published: (2025)
by: Baldo, Federico, et al.
Published: (2025)
Group Interventions on Deep Networks for Causal Discovery in Subsystems
by: Ahmad, Wasim, et al.
Published: (2025)
by: Ahmad, Wasim, et al.
Published: (2025)
Interventional Causal Discovery in a Mixture of DAGs
by: Varıcı, Burak, et al.
Published: (2024)
by: Varıcı, Burak, et al.
Published: (2024)
Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions
by: Okita, Tsuyoshi
Published: (2026)
by: Okita, Tsuyoshi
Published: (2026)
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
by: Filter, Björn, et al.
Published: (2024)
by: Filter, Björn, et al.
Published: (2024)
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series
by: Castri, Luca, et al.
Published: (2024)
by: Castri, Luca, 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)
ReplaySCM: A Benchmark for Executable Causal Mechanism Induction from Interventions
by: Batzoglou, Serafim
Published: (2026)
by: Batzoglou, Serafim
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)
Test-Time Learning of Causal Structure from Interventional Data
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
by: Asiaee, Amir
Published: (2026)
by: Asiaee, Amir
Published: (2026)
Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)
by: Deng, Zizhen, et al.
Published: (2022)
Learning to Defer for Causal Discovery with Imperfect Experts
by: Clivio, Oscar, et al.
Published: (2025)
by: Clivio, Oscar, et al.
Published: (2025)
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
by: Rokvic, Ljubomir, et al.
Published: (2025)
by: Rokvic, Ljubomir, et al.
Published: (2025)
Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)
by: Yu, Yan, et al.
Published: (2025)
Local Causal Discovery for Statistically Efficient Causal Inference
by: Schubert, Mátyás, et al.
Published: (2025)
by: Schubert, Mátyás, et al.
Published: (2025)
Causal Machine Learning for Surgical Interventions
by: Tamo, J. Ben, et al.
Published: (2025)
by: Tamo, J. Ben, et al.
Published: (2025)
PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
by: Torné, Ramon Viñas, et al.
Published: (2026)
by: Torné, Ramon Viñas, et al.
Published: (2026)
Federated Causal Discovery from Heterogeneous Data
by: Li, Loka, et al.
Published: (2024)
by: Li, Loka, et al.
Published: (2024)
Intervention and Conditioning in Causal Bayesian Networks
by: Galhotra, Sainyam, et al.
Published: (2024)
by: Galhotra, Sainyam, et al.
Published: (2024)
Test Time Learning for Time Series Forecasting
by: Christou, Panayiotis, et al.
Published: (2024)
by: Christou, Panayiotis, et al.
Published: (2024)
Learning Associative Memories with Gradient Descent
by: Cabannes, Vivien, et al.
Published: (2024)
by: Cabannes, Vivien, et al.
Published: (2024)
Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning
by: Ma, Pingchuan, et al.
Published: (2026)
by: Ma, Pingchuan, 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)
Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning
by: Liu, Jiaxin, et al.
Published: (2026)
by: Liu, Jiaxin, et al.
Published: (2026)
Differentiable Constraint-Based Causal Discovery
by: Zhou, Jincheng, et al.
Published: (2025)
by: Zhou, Jincheng, et al.
Published: (2025)
Relational Causal Discovery with Latent Confounders
by: Negro, Matteo, et al.
Published: (2025)
by: Negro, Matteo, et al.
Published: (2025)
Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery
by: Cho, Minjae, et al.
Published: (2024)
by: Cho, Minjae, et al.
Published: (2024)
SCOPE: Sequential Causal Optimization of Process Interventions
by: De Moor, Jakob, et al.
Published: (2025)
by: De Moor, Jakob, et al.
Published: (2025)
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning
by: Xiao, Minheng
Published: (2024)
by: Xiao, Minheng
Published: (2024)
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
by: Zanna, Khadija, et al.
Published: (2025)
by: Zanna, Khadija, et al.
Published: (2025)
Similar Items
-
Curricula for Learning Robust Policies with Factored State Representations in Changing Environments
by: Panayiotou, Panayiotis, et al.
Published: (2024) -
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
by: Panayiotou, Panayiotis, et al.
Published: (2025) -
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
by: Poinsot, Audrey, et al.
Published: (2025) -
Learning The Minimum Action Distance
by: Steccanella, Lorenzo, et al.
Published: (2025) -
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
by: Evans, Joshua B., et al.
Published: (2023)