The LHC is probing physics in a qualitatively new regime, above the electroweak symmetry-breaking scale.
Particle-level, differential measurements made in fiducial regions of phase-space have a high degree of model-independence and
can therefore be used not only to quantify how well Standard Model predictions describe physics in this new arena, but also
to constrain, or potentially reveal, physics beyond the Standard Model. I will describe a method to do this, including the use of active
learning to efficiently scan model parameter space, and give some examples of its impact.