The paper entitled “Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach” by Wen Huang, and Xintao Wu has been accepted to the 38th AAAI Conference on Artificial Intelligence (AAAI) which will be held at Vancouver, Canada, Feb 20-27, 2024. This year the conference received a record 12100 submissions (for the main track), of which 9862 were reviewed. Based on a thorough and rigorous review process the conference accepted 2342 papers. This yields an overall acceptance rate of 23.75%. Congratulations, Wen!