I am a M.Sc. student in computer science, working on information networks and recommender systems. This days when I went through the top-tier conferences papers in the field I have seen most of them use solely simple machine learning tools such as generalized linear model, Expectation Maximization, Maximum Likelihood, etc.
One may argue that this simple methods work better and We shouldn't take the blame for the sake of simplicity. That is true but I have not even seen an interest to try compare their results with some more advanced mathematical methods.
I am wondering why scientists don't try to explore more mathematics to involve in their research. Because there is not something better in exploding world of mathematics or because of its difficulty, etc?
Edit: I mean the areas that are more related to continuous mathematics than CS theory.