How do science

What are methodology? Why paradigm shift?

Differentiable PDE solvers 2017-05-15 – 2022-06-24

Soft methodology of science 2012-01-13 – 2022-06-23

Scientific institutions and mechanisms Descriptive and normative 2021-08-24 – 2022-06-22

Scientific writing In which tips are given for the projection of status through nominal phrases and passive voice 2014-12-31 – 2022-06-10

Hydra for tracking machine learning experiments 2021-10-20 – 2022-06-03

Tracking experiments in machine learning 2020-10-23 – 2022-05-17

Crowd-sourced science 2015-08-10 – 2022-05-17

Quarto 2022-05-01 – 2022-05-01

Anthropic principles Convenience-sampling lived human experience 2020-02-15 – 2022-05-01

knitr/RMarkdown etc 2020-02-02 – 2022-04-30

Causal graphical model reading group 2022 Causal inference 2022-04-01 – 2022-04-29

Generalized Bayesian Computation 2019-10-03 – 2022-04-28

Inference without KL divergence 2019-10-03 – 2022-04-28

Blogdown Plus other RMarkdown-derived scholarly blogging systems 2020-08-26 – 2022-04-17

The blogosphere Now with added newsletter-o-sphere 2014-12-29 – 2022-04-17

Saying “Bayes” is not enough Bayesians are usually not actually doing Bayesian reasoning well and even if we were, it would be insufficient to do science, or life 2016-05-30 – 2022-04-15

This is a simulation Can the automaton learn to play the game of life? 2017-04-04 – 2022-04-09

Bayesian nonparametric statistics Updating more dimensions than datapoints 2016-05-30 – 2022-04-07

Zotero The adequate citation tool 2019-12-01 – 2022-04-04

Digital scientific workbooks Literate coding for reality 2014-11-17 – 2022-03-31

Academic writing workflow Cranking the paper mill in the 21st century 2014-10-04 – 2022-03-10

Configuring machine learning experiments 2021-10-20 – 2022-03-09

Causal inference on DAGs Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next 2016-10-26 – 2022-03-08

Science; Sociology and institution design for Scientist, falsify thyself 2020-05-17 – 2022-03-06

Machine learning for partial differential equations 2017-05-15 – 2022-03-04

Machine learning for physical sciences Turbulent mixing at the boundary between two disciplines with differing inertia and viscosity 2017-05-15 – 2022-03-04

Interaction effects are probably what we want to estimate 2022-01-25 – 2022-03-04

Opinion dynamics 1: Social contagion moves hearts and minds How to win elections and influence people 2020-08-30 – 2022-03-03

Learning Gaussian processes which map functions to functions 2020-12-07 – 2022-02-25

Learning with conservation laws, invariances and symmetries 2020-04-11 – 2022-02-25

Bayes for beginners 2016-05-30 – 2022-02-19

Reproducible research Open notebooks etc 2016-06-07 – 2022-02-15

Betting and prediction markets Market design for good guesses 2017-08-12 – 2022-02-15

Filter bubbles, fact checking and kompromat Polarization and fragmentation on the basis of browser cookies 2017-02-12 – 2022-02-13

Probabilistic programming Doing statistics using the tools of computer science 2019-10-02 – 2022-02-11

Academic publishing 2015-07-07 – 2022-02-11

Phylogeny 2016-10-06 – 2022-02-05

Dunning-Kruger theory of mind On anthropomorphising humans 2020-06-18 – 2022-01-28

Statistics and machine learning 2011-04-15 – 2022-01-27

Hypothesis tests, statistical 2014-08-23 – 2022-01-27

Learning on manifolds Finding the lowest bit of a krazy straw, from the inside 2011-10-21 – 2022-01-26

Dunning-Kruger theory of institutions Lay theories of social mechanisms 2022-01-20

Dunning-Kruger theory of society Lay theories of groups 2022-01-20

Social psychology Which of those NPR-friendly studies actually replicated? 2017-02-20 – 2022-01-14

Metis and .*-rationality High modernism, spontaneous order, legibility, the Great Society, technocracy, local knowledge, normies and sects 2017-07-24 – 2022-01-02

Causality via potential outcomes Neyman-Rubin, counterfactuals, conditional treatment effects, and related tricks 2016-10-26 – 2021-12-10

Causal inference in highly parameterized ML 2020-09-18 – 2021-12-10

Pyro Approximate maximum in the density of probabilistic programming effort 2019-10-02 – 2021-11-25

External validity and dataset shift Also transfer learning, learning under covariate shift, transferable learning, domain adaptation etc 2020-10-17 – 2021-11-03

First aid If you are checking this webpage while your colleague bleeds out, you are doing it wrong 2019-02-12 – 2021-10-22

Knowledge geometry 2012-05-23 – 2021-10-20

Hyperparameter optimization Replacing a hyperparameter problem with a hyperhyperparameter problem which feels like progress I guess 2020-09-25 – 2021-10-20

Research discovery Has someone answered that question I have not worked out how to ask yet? 2019-01-22 – 2021-10-13

Planning under uncertainty Transcending planning-though-hope-and-haruspicy 2020-04-23 – 2021-10-10

Science for policy Using evidence and reason to govern ourselves 2011-08-07 – 2021-09-22

Software engineering for scientists 2016-06-07 – 2021-09-16

Meta learning Few-shot learning, learning fast weights, learning to learn 2021-09-16

Convolutional stochastic processes Moving averages of noise 2021-03-01 – 2021-08-16

Sequential experiments Especially multiple sequential experiments 2021-08-04

Publication bias Replication crises, P-values, bitching about journals, other debilities of contemporary science at large 2016-08-30 – 2021-07-22

Science History, sociology and philosophy thereof 2017-07-08 – 2021-07-21

Academic blogging workflow Minimising the friction of advertising my thoughts in order to maximise the chance each thought gets advertised. Not covered: maximising quality of thoughts. 2020-05-22 – 2021-06-30

Free will A matter about which I voluntarily admit I don’t care, but am compelled to have something to link to when eliding 2012-03-16 – 2021-04-23

Differentiable model selection Differentiable hyperparameter search, and architecture search, and optimisation optimisation by optimisation and so on 2020-09-25 – 2021-04-13

BibLaTeX Also BibTeX if you must 2020-09-29 – 2021-03-18

Convolutional Gaussian processes 2021-03-01

Stochastic processes on manifolds 2021-03-01

Causal inference in the continuous limit 2021-02-17

Bayesians vs frequentists Just because we both get the same answer doesn’t mean neither of us is wrong 2014-11-25 – 2021-01-14

Tracking experiments in science 2020-10-23 – 2020-11-06

Stan The flagship Bayesian workhorse 2020-10-19

Automatic design of experiments Minesweeper++ 2017-04-11 – 2020-10-13

AutoML 2017-07-17 – 2020-10-02

Research data sharing for science 2017-05-31 – 2020-09-23

Causal graphical model reading group 2020 An introduction to conditional independence DAGs and their use for causal inference. 2020-08-30 – 2020-09-03

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

Bushfire models 2020-09-07 – 2020-08-19

Citation management On PDFcocking 2014-09-08 – 2020-07-14

Mechanism design for reputation systems Karma, credit scores, pagerank… 2014-08-05 – 2020-03-02

Selling uncertainty On the marginal price of ignorance 2016-05-25 – 2020-02-18

R Shiny Statistics through the internet 2020-02-11

Frequentist consistency of Bayesian methods TFW two flawed methods for understanding the world agree with at least each other 2016-04-12 – 2019-10-19

M-open, M-complete, M-closed 2016-05-30 – 2019-10-18

Multiple testing 2015-04-22 – 2018-11-05

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

Feature engineering for research and science 2017-05-31 – 2018-04-27

Hidden variable formalisms in quantum mechanics 2015-11-28