# graphical_models

External validity and dataset shift
Also transfer learning, learning under covariate shift, transferable learning, domain adaptation etc
2020-10-17
– 2023-02-16Expectation propagation
Generalized moment matching
2015-10-26
– 2023-02-15Visualising probabilistic graphical models
Also related models, such as Neural nets
2018-03-29
– 2023-02-02Quantified self
Instrumentation and analytics for body and soul.
2022-01-11
– 2023-01-22Variational message-passing algorithms in graphical models
Cleaving reality at the joint, then summing it at the marginal
2014-11-25
– 2023-01-12Factor graphs
2019-12-16
– 2023-01-12Adverse advice selection
2022-01-25
– 2022-11-15Interaction effects and subgroups are probably what we want to estimate
2022-01-25
– 2022-11-06Continuous and equilibrium probabilistic graphical models
2014-08-05
– 2022-10-10Learning graphical models from data
Also, causal discovery, structure discovery
2017-09-20
– 2022-10-01Gaussian belief propagation
Least squares at maximal elaboration
2014-11-25
– 2022-09-01Elliptical belief propagation
Generalized least generalized squares
2022-08-22
– 2022-08-23Ablation studies, lesion studies, and complex systems
2016-10-26
– 2022-08-06Causal inference on DAGs
Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next
2016-10-26
– 2022-08-06Instumental variables and two stage regression
Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next
2016-10-26
– 2022-08-06Bayes linear regression and basis-functions in Gaussian process regression
a.k.a Fixed Rank Kriging, weight space GPs
2022-02-22
– 2022-07-27SLAM
Simultaneous Location and Mapping
2014-11-25
– 2022-04-28Vecchia factoring of GP likelihoods
Ignore some conditioning in the dependencies and attain a sparse cholesky factor for the precision matrix
2022-04-27Particle belief propagation
Graphical inference using empirical distribution estimates
2014-07-25
– 2022-04-08Particle Markov Chain Monte Carlo
Particle systems as MCMC proposals
2014-07-25
– 2022-04-08Partition-valued random variates
2022-04-01Belief propagation
2014-11-25
– 2022-03-31Probabilistic graphical models
2014-08-05
– 2022-02-08Random graphical models
Causality in amongst confusion
2021-10-26
– 2022-02-07Statistics and machine learning
2011-04-15
– 2022-01-27Causality via potential outcomes
Neyman-Rubin, counterfactuals, conditional treatment effects, and related tricks
2016-10-26
– 2021-12-10Gaussian Processes as stochastic differential equations
Imposing time on things
2019-09-18
– 2021-11-25Efficient factoring of GP likelihoods
2020-10-16
– 2020-10-26Independence, conditional, statistical
2016-04-21
– 2020-09-13Causal Bayesian networks
Staged tree models, probability trees …Causalan Bayesian networks
2020-11-01
– 2020-09-01Directed graphical models
2017-09-20
– 2020-05-13Undirected graphical models
2017-09-20
– 2019-10-28Quantum-probabilistic graphical models
2017-08-07Expectation maximisation
2014-08-17
– 2016-04-17