Cover Image

Federated Causal Discovery From Interventions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abyaneh, Amin, Scherrer, Nino, Schwab, Patrick, Bauer, Stefan, Schölkopf, Bernhard, Mehrjou, Arash
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Multiagent Systems Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference
by: Briglia, Giovanni, et al.
Published: (2025)

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
by: Lee, Po-Han, et al.
Published: (2025)

Behavioral Heterogeneity as Quantum-Inspired Representation
by: Elayan, Mohammad, et al.
Published: (2026)

Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
by: Olko, Mateusz, et al.
Published: (2022)

Efficient Differentiable Discovery of Causal Order
by: Chevalley, Mathieu, et al.
Published: (2024)

Theoretical Guarantees for Causal Discovery on Large Random Graphs
by: Chevalley, Mathieu, et al.
Published: (2025)

Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
by: Chevalley, Mathieu, et al.
Published: (2024)

In-silico biological discovery with large perturbation models
by: Miladinovic, Djordje, et al.
Published: (2025)

Estimating counterfactual treatment outcomes over time in complex multiagent scenarios
by: Fujii, Keisuke, et al.
Published: (2022)

NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
by: Lu, Haoran, et al.
Published: (2026)

CrowdLLM: Building LLM-Based Digital Populations Augmented with Generative Models
by: Lin, Ryan Feng, et al.
Published: (2025)

Optimizing Social Utility in Sequential Experiments
by: Velasco, Ander Artola, et al.
Published: (2026)

Causal Influence in Federated Edge Inference
by: Kayaalp, Mert, et al.
Published: (2024)

Robust Federated Inference
by: Dhasade, Akash, et al.
Published: (2025)

Adaptive Inference through Bayesian and Inverse Bayesian Inference with Symmetry-Bias in Nonstationary Environments
by: Shinohara, Shuji, et al.
Published: (2025)

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
by: Wang, Ziyan, et al.
Published: (2023)

MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
by: Yu, Haohan, et al.
Published: (2026)

Data-Driven Discovery of Emergent Dynamics in Reaction-Diffusion Systems from Sparse and Noisy Observations
by: Dwivedi, Saumitra, et al.
Published: (2025)

Principal-Agent Hypothesis Testing
by: Bates, Stephen, et al.
Published: (2022)

Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
by: Wang, Feng, et al.
Published: (2024)

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
by: Woo, Jiin, et al.
Published: (2024)

UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)

Diffusion-Based Representation Learning
by: Mittal, Sarthak, et al.
Published: (2021)

Causal vs. Anticausal merging of predictors
by: Mejia, Sergio Hernan Garrido, et al.
Published: (2025)

Federated Learning for Data-Driven Feedforward Control: A Case Study on Vehicle Lateral Dynamics
by: Weber, Jakob, et al.
Published: (2025)

Estimating Joint Interventional Distributions from Marginal Interventional Data
by: Mejia, Sergio Hernan Garrido, et al.
Published: (2024)

A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)

A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
by: Pessoa, R. W. S., et al.
Published: (2025)

The Multi-Trip Time-Dependent Mix Vehicle Routing Problem for Hybrid Autonomous Shared Delivery Location and Traditional Door-to-Door Delivery Modes
by: Zhao, Jingyi, et al.
Published: (2025)

Optimized Model Selection for Estimating Treatment Effects from Costly Simulations of the US Opioid Epidemic
by: Ahmed, Abdulrahman A., et al.
Published: (2024)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)

Do Finetti: On Causal Effects for Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2024)

GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms
by: Toscano, Juan Diego, et al.
Published: (2026)

From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
by: Wang, Xun, et al.
Published: (2025)

Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics
by: Dsouza, Kevin Bradley, et al.
Published: (2025)

Harnessing the Power of Federated Learning in Federated Contextual Bandits
by: Shi, Chengshuai, et al.
Published: (2023)

Exploring Modularity of Agentic Systems for Drug Discovery
by: van Weesep, Laura, et al.
Published: (2025)

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)

MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
by: Zhang, Elise, et al.
Published: (2025)

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
by: Jiang, Jiachen, et al.
Published: (2026)