ml Gradient descent at scale Practical implementation of large optimisations 2021-07-14 – 2021-09-28 Scaling laws for very large neural nets 2021-01-14 – 2021-03-15 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
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