 Partial Structure Discovery is Sufficient for No-regret Learning in
Causal BanditsNeural Information Processing Systems (NeurIPS), 2024 |
 Linear Causal Bandits: Unknown Graph and Soft InterventionsNeural Information Processing Systems (NeurIPS), 2024 |
 Asymmetric Graph Error Control with Low Complexity in Causal BanditsIEEE Transactions on Signal Processing (IEEE TSP), 2024 |
 Improved Bound for Robust Causal Bandits with Linear ModelsInternational Symposium on Information Theory (ISIT), 2024 |
 Confounded Budgeted Causal BanditsCLEaR (CLEaR), 2024 |
 Robust Causal Bandits for Linear ModelsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 |
 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement
LearningInternational Conference on Learning Representations (ICLR), 2023 |
 Additive Causal Bandits with Unknown GraphInternational Conference on Machine Learning (ICML), 2023 |
 Functional Causal Bayesian OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023 |
 Learning Good Interventions in Causal Graphs via CoveringConference on Uncertainty in Artificial Intelligence (UAI), 2023 |
 A Survey on Causal Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 |
 Combinatorial Causal Bandits without Graph SkeletonAsian Conference on Machine Learning (ACML), 2023 |
 Causal Bandits without Graph LearningCLEaR (CLEaR), 2023 |
 Sample Constrained Treatment Effect EstimationNeural Information Processing Systems (NeurIPS), 2022 |
 Combinatorial Pure Exploration of Causal BanditsInternational Conference on Learning Representations (ICLR), 2022 |
 Uplifting BanditsNeural Information Processing Systems (NeurIPS), 2022 |
 Combinatorial Causal BanditsAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 Causal Structure Learning: a Combinatorial PerspectiveFoundations of Computational Mathematics (FoCM), 2022 |
 Causal Bandits with Unknown Graph StructureNeural Information Processing Systems (NeurIPS), 2021 |
