Paper - Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS | ICPRAM 2023

Greetings esteemed viewers, In this video, we present our work on the evaluation of induced expert knowledge in causal structure learning by utilizing the state-of-the-art NOTEARS method. The work is based on the academic research paper titled "Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS," which was presented at the 12th International Conference on Pattern Recognition Application and Methods (ICPRAM 2023). Our study aims to explore the impact of inducing prior expert knowledge in the context of causal discovery, utilizing a cutting-edge causal structure learning method. Our findings provide valuable insights into the effectiveness of incorporating expert knowledge in causal structure learning, contributing to the existing body of research in this field. We welcome feedback and constructive criticism from our audience as we strive to continuously enhance the quality of our content. For those interested in reading the paper, a preprint version is available at: https://arxiv.org/pdf/2301.01817.pdf Thank you for tuning in, and we hope that our video provides valuable insights into the exciting field of causal structure learning. #researchpublication #causality #causal #deeplearning #neuralnetwork #ICPRAM2023 #academicpaper