Machine-learning and unconventional approaches to effective field theories at the LHC

• Robert Schoefbeck (HEPHY Vienna)

Effective field theories are a cornerstone in interpreting searches for phenomena beyond the standard model. Their sound theoretical footing allows tackling "big" questions on the shortest distance scales. They also facilitate various machine-learning approaches, with the prospect of further squeezing the LHC data. In this seminar, I will briefly review the statistical context of these developments and highlight particularly interesting examples of machine learning usage within the large experiments.