Critique 1

The article was delightful to read and a well-suited topic for our class.

Overall, this is a wonderful page on Causal graphs with Bayesian Optimization. I learnt how it can be used for optimizing systems where there are complex causal relationships between them. I appreciate the description for each pseudo code, it will help anyone new to this topic. Here are a few suggestions/clarifications.

• What does sparsity of the graph mean?
• As a part of related pages, can you add some other pages on causality and bayesian optimization already specified on the course page.
• I was thinking that this can be applied to other methods. can you add some other examples at the end.
• I found the trade-offs that CBO balances very interesting but it seems to be a part of paper1. What is the main contribution of paper2, could you make that clearer?

Thank you so much for the comments.

• I have added the definition of the sparsity of a graph.
• I also added a section of Examples at the end of how this can be applied to performance optimization in Systems.
• I added another section at the end of the article, which states the exact contributions of both papers and how one utilizes the other.