Poster
in
Workshop: AI for Science: Mind the Gaps

AI as statistical methods for imperfect theories

Gael Varoquaux


Abstract:

Science has progressed by reasoning on what models could not predict because they were missing important ingredients. And yet without correct models, standard statistical methods for scientific evidence are not sound. Here I argue that machine-learning methodology provides solutions to ground reasoning about empirically evidence more on models’ predictions, and less on their ingredients.