Co-occurring keywords · papers mentioning both
Papers
Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences
UAI 2026
The Minimal Search Space for Conditional Causal Bandits
UAI 2026
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
ICML 2024
Causal Bandits with General Causal Models and Interventions
AISTATS 2024
Confounded Budgeted Causal Bandits
CLeaR 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions
NeurIPS 2024
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
NeurIPS 2024
Additive Causal Bandits with Unknown Graph
ICML 2023
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
NeurIPS 2023
Causal Bandits for Linear Structural Equation Models
JMLR 2023
Combinatorial Pure Exploration of Causal Bandits
ICLR 2023
Learning good interventions in causal graphs via covering
UAI 2023
Adaptively Exploiting d-Separators with Causal Bandits
NeurIPS 2022
Causal Bandits without prior knowledge using separating sets
CLeaR 2022
Causal Bandits with Unknown Graph Structure
NeurIPS 2021
Regret Analysis of Bandit Problems with Causal Background Knowledge
UAI 2020
Structural Causal Bandits with Non-Manipulable Variables
AAAI 2019
Causal Bandits with Propagating Inference
ICML 2018
Structural Causal Bandits: Where to Intervene?
NeurIPS 2018
Causal Bandits: Learning Good Interventions via Causal Inference
NeurIPS 2016