graphical_models

Random graphical models Causality in amongst confusion 2021-10-26 – 2021-10-28

External validity Transfer learning, dataset shift, learning under covariate shift, transferable learning, domain adaptation etc 2020-10-17 – 2021-10-26

Diagramming and visualising graphical models and neural networks My need for this is conditionally dependent upon my deadline, given the subject matter 2018-03-29 – 2021-09-06

Causality via potential outcomes Neyman-Rubin, counterfactuals, instrumental variables and related tricks 2016-10-26 – 2021-06-21

Causal inference on DAGs Confounding! This scientist performed miracle graph surgery during an intervention and you won’t believe what happened next 2016-10-26 – 2021-05-19

Variational inference by message-passing in graphical models 2014-11-25 – 2020-11-25

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

Causal Bayesian networks Staged tree models, probability trees …Causlan Bayesian networks 2020-11-01 – 2020-09-01

Directed graphical models 2017-09-20 – 2020-05-13

Learning graphical models from data What is independent of what? 2017-09-20 – 2020-04-11

Factor graphs 2019-12-16

Inference on graphical models Given what I know about what I know, what do I know? 2017-09-20 – 2019-10-28

Undirected graphical models 2017-09-20 – 2019-10-28

Probabilistic graphical models over continuous index sets 2014-08-05 – 2019-09-25

Probabilistic graphical models 2014-08-05 – 2017-09-11

Quantum-probabilistic graphical models 2017-08-07