Causal Bayesian Optimization

Causal Bayesian Optimization (CBO) aims to efficiently find optimal interventions in a system with known or partially known causal structure to maximize a target variable. Current research focuses on improving CBO's robustness and efficiency by addressing challenges such as handling uncertainty in the causal graph, incorporating constraints, managing adversarial interventions, and leveraging contextual information through various algorithms including those based on Gaussian processes and online learning. These advancements enable more effective optimization in complex systems across diverse fields, leading to improved decision-making in areas like healthcare, resource management, and engineering design.

Papers

November 5, 2024

Graph Agnostic Causal Bayesian Optimisation
Sumantrak Mukherjee, Mengyan Zhang, Seth Flaxman, Sebastian Josef Vollmer
Causal Model Bayesian Optimisation Heterogeneous Causal Causal Bayesian Optimization

October 18, 2024

Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes
Hugh Dance, Peter Orbanz, Arthur Gretton
Gaussian Process Uncertainty Quantification Spectral Representation Hilbert Space Unreliable Prediction Causal Bayesian Optimization

February 3, 2024

Causal Bayesian Optimization via Exogenous Distribution Learning
Shaogang Ren, Xiaoning Qian
Causal Structure Structural Causal Model Distribution Learning Causal Bayesian Optimization

September 5, 2023

Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
Kim Hammar, Neil Dhir
Causal Structure Optimisation Problem Optimal Intervention Optimal Stopping Causal Bayesian Optimization Optimal Stopping Problem

July 31, 2023

Adversarial Causal Bayesian Optimization
Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause
Causal Model Causal Bayesian Optimization

June 10, 2023

Functional Causal Bayesian Optimization
Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa
Bayesian Optimization Causal Graph Causal Effect Causal Bayesian Optimization

May 31, 2023

Constrained Causal Bayesian Optimization
Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa
Causal Graph Constrained Optimization Feasible Action Causal Bayesian Optimization

January 29, 2023

Contextual Causal Bayesian Optimisation
Vahan Arsenyan, Antoine Grosnit, Haitham Bou-Ammar
Multi Armed Bandit Bayesian Optimisation Causal Bayesian Optimization

November 18, 2022

Model-based Causal Bayesian Optimization
Scott Sussex, Anastasiia Makarova, Andreas Krause
Bayesian Optimization Underlying Causal Causal Bayesian Optimization

August 23, 2022

Causal Entropy Optimization
Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
Causal Entropy Causal Bayesian Optimization