Machine learning for physical sciences Turbulent mixing at the boundary between two disciplines with differing inertia and viscosity 2017-05-15 – 2020-04-22

Why does deep learning work? despite the fact we are totally just making this shit up 2017-05-30 – 2019-10-09

Optimisation of model functions for experiment design Surrogate optimisation methods for optimising optimisations 2017-04-11 – 2019-07-18

Ergodic theory / mixing For things that probably happen eventually instead of just probably 2011-10-17 – 2018-10-23

Statistical learning theory Eventually including structural risk minimisation, risk bounds, hopefully-uniform convergence rates, VC-dimension, generalisation-and-stability framings etc 2016-07-06 – 2016-08-16