generative

Deep generative models 2020-12-10 – 2021-06-08

Energy based models Inference with kinda-tractable un-normalized densities 2021-06-07

Gaussian Process regression via state filtering Imposing time on things 2019-09-18 – 2021-05-21

Deep Gaussian process regression 2021-05-13

Gaussian process regression And classification. And extensions. 2019-12-03 – 2021-04-13

Markov Chain Monte Carlo methods 2017-08-28 – 2021-03-11

Probabilistic programming Programming with probability distributions for, e.g. Bayesian inference 2019-10-02 – 2021-03-10

Generative adversarial networks 2016-10-07 – 2020-12-14

Efficient factoring of GP likelihoods 2020-10-16 – 2020-10-26

Variational autoencoders 2019-11-04 – 2020-09-10

Bayes for beginners 2016-05-30 – 2020-01-30

Defining dynamics via Gaussian processes 2019-09-18

Hamiltonian and Langevin Monte Carlo Physics might be on to something 2018-07-31 – 2018-07-12