mlBitter lessons in compute and cleverness Operationalizing the scaling hypothesis 2021-01-14 – 2023-08-02Scaling laws for very large neural nets Compute/size/data tradeoffs 2021-01-14 – 2023-02-16Gradient descent at scale Practical implementation of large optimisations 2021-07-14 – 2021-09-28Statistical 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
Bitter lessons in compute and cleverness Operationalizing the scaling hypothesis 2021-01-14 – 2023-08-02
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