optimization

Probability divergences Metrics, contrasts and divergences and other ways of quantifying how similar are two randomnesses 2014-11-25 – 2021-05-12
Differentiable model selection Differentiable hyperparameter search, and architecture search, and optimisation optimisation by optimisation and so on 2020-09-25 – 2021-04-13
Optimal transport inference I feel the earth mover under my feet, I feel the ψ tumbling down, I feel my heart start to trembling, Whenever you're around my empirical density in minimal transport cost 2021-03-16
Hyperparameter optimization in ML Replacing a hyperparameter problem with a hyperhyperparameter problem which feels like progress I guess 2020-09-25 – 2021-03-01
Jax 2020-09-15 – 2021-02-18
Tensorflow The framework to use for deep learning if you groupthink like Google 2016-07-11 – 2020-11-10
ELBO Evidence lower bound, variational free energy etc 2020-10-02 – 2020-10-28
AutoML 2017-07-17 – 2020-10-02
Phase retrieval I’ve got the power. / Like the crack of the whip/ I snap attack/ Front to back 2017-01-16 – 2019-11-07
Sparse coding How to make big things out of lists of small things. 2014-11-17 – 2019-11-05
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