networks

Matrix norms, divergences, metrics 2016-06-03 – 2023-05-29

Recurrent / convolutional / state-space Translating between means of approximating time series dynamics 2016-04-05 – 2023-05-24

Singular Value Decomposition The ML workhorse 2014-08-05 – 2023-05-23

Belief propagation 2014-11-25 – 2023-05-17

Causal inference in highly parameterized ML 2020-09-18 – 2023-05-16

Matrix square roots Whitening, preconditioning etc 2014-08-05 – 2023-05-13

Academic publishing 2015-07-07 – 2023-05-01

Scientific institutions and mechanisms Descriptive and normative 2021-08-24 – 2023-04-28

Designing social movements Synthetic biology for utopian egregores 2021-05-01 – 2023-04-22

Model order reduction 2015-03-22 – 2023-04-21

Low-rank-plus-diagonal matrix representations Sometimes even exact 2014-08-05 – 2023-04-20

Approximate matrix factorisation Sometimes even exact 2014-08-05 – 2023-04-18

Learning under distribution shift Also transfer learning, learning under covariate shift, transferable learning, domain adaptation etc 2020-10-17 – 2023-04-16

Performance indicators, Measurement, analytics Street fighting statistics 2014-09-22 – 2023-04-13

Deep sets invariant and equivariant functions 2022-11-24 – 2023-03-21

Science; Sociology and institution design for Scientist, falsify thyself 2020-05-17 – 2023-03-13

External validity When does what I learn on one data set apply to another? 2020-10-17 – 2023-02-16

Research discovery Has someone answered that question I have not worked out how to ask yet? 2019-01-22 – 2023-02-16

Diffusion of innovations Epidemiology of widgets 2020-01-30 – 2023-02-09

Visualising probabilistic graphical models Also related models, such as Neural nets 2018-03-29 – 2023-02-02

Weaponizing social media Trolls, bots, lulz, infowars and other moods of the modern networked ape 2019-10-21 – 2023-01-15

Variational message-passing algorithms in graphical models Cleaving reality at the joint, then summing it at the marginal 2014-11-25 – 2023-01-12

Factor graphs 2019-12-16 – 2023-01-12

Transforms of Gaussian noise Delta method, error propagation, unscented transform, Taylor expansion… 2014-11-25 – 2022-12-23

Graph neural nets 2020-09-16 – 2022-12-19

COVID-19 in practice SARS-CoV-2 to its friends 2020-11-25 – 2022-12-07

Statistical relational learning 2020-04-26 – 2022-11-22

Adverse advice selection 2022-01-25 – 2022-11-15

But what can I do? Recommended behaviour to make society better is to think, then act 2020-02-06 – 2022-11-06

Interaction effects and subgroups are probably what we want to estimate 2022-01-25 – 2022-11-06

Ethical consumption Socialism as a Service 2020-02-06 – 2022-11-04

Casual anthropic principles Convenience-sampling lived human experience 2020-02-15 – 2022-10-28

Continuous and equilibrium probabilistic graphical models 2014-08-05 – 2022-10-10

Tribal sorting and polarization Polarization and fragmentation on the basis of browser cookies 2017-02-12 – 2022-10-08

Social organisation of knowledge Descriptive and normative 2021-08-24 – 2022-10-07

Multi level marketing Pyramid schemes, Ponzi schemes, Newcomb unboxing 2022-10-02 – 2022-10-02

Learning graphical models from data Also, causal discovery, structure discovery 2017-09-20 – 2022-10-01

Conditional expectation and probability 2020-02-04 – 2022-09-21

Multi-agent self 2022-09-11

Soft methodology of science 2012-01-13 – 2022-09-06

Gaussian belief propagation Least squares at maximal elaboration 2014-11-25 – 2022-09-01

Modern conspiracy theorising You are only reading this because the Deep State wants you to 2020-08-16 – 2022-08-30

Managing people Making piece with the fact that I cannot do everything myself 2020-07-19 – 2022-08-30

Project management With special attention to speculative and innovative projects 2021-03-23 – 2022-08-28

Elliptical belief propagation Generalized least generalized squares 2022-08-22 – 2022-08-23

Recommender systems 2020-11-30 – 2022-08-15

Proof assistants Automated theorem provers 2019-12-09 – 2022-08-09

Ablation studies, lesion studies, and complex systems 2016-10-26 – 2022-08-06

Causal inference on DAGs Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next 2016-10-26 – 2022-08-06

Instumental 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 – 2022-08-06

Trapped beliefs Thinking now what made sense then 2022-04-09 – 2022-08-06

Mechanism design for reputation systems Karma, credit scores, pagerank, optimised ad hominem reasoning… 2014-08-05 – 2022-08-02

Scenius 2020-01-26 – 2022-07-28

Teamwork 2020-01-26 – 2022-07-28

Diversity in teams Multiculturalism, pluralism and eccentricity at small scale 2020-05-27 – 2022-07-28

Bayes linear regression and basis-functions in Gaussian process regression a.k.a Fixed Rank Kriging, weight space GPs 2022-02-22 – 2022-07-27

Models of human cultural evolution Egregores, superorganisms, memeplexes 2018-12-18 – 2022-07-26

Subculture dynamics Coalitions, scenes, fandoms, subcultures, normies, hipsters, sects, and tribes at scale 2018-12-18 – 2022-07-26

Conflict theorist models of coordination 2022-07-20 – 2022-07-24

Red queen social signal dynamics Arms races in memetic selection on graphs is how I make my fashion choices 2018-12-18 – 2022-07-24

Performance indicators, measurement, analytics Street fighting statistics 2014-09-22 – 2022-07-09

Being stroppy For people too perverse to be contrarian like everyone else 2022-03-04 – 2022-07-06

Dilemmas of collective action 2014-11-25 – 2022-07-05

Rituals and beliefs that bind 2021-05-01 – 2022-07-05

Algorithmic mechanism design Designing markets and games to achieve what we want 2014-09-22 – 2022-06-29

Soft incentive mechanism design Markets, cakes, karma, and reverse game theory, applied to humans 2014-09-22 – 2022-06-29

Invasive arguments Weeds in public discourse 2021-12-20 – 2022-06-25

Workhacks How to succeed in business (with or without trying) 2020-07-19 – 2022-06-14

Designing less toxic social media 2020-07-12 – 2022-06-11

Pluralistic ignorance, silent majorities, spiral of silence, hidden tribes We all believe that we all believe what we do not believe 2020-06-03 – 2022-06-11

Emergent spacetime What are qubits again? 2022-05-26

Applied psephology 2016-07-12 – 2022-05-25

Memetics Taste dynamics, opinion dynamics, sincerely-held-belief dynamics etc 2020-01-30 – 2022-05-14

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

SLAM Simultaneous Location and Mapping 2014-11-25 – 2022-04-28

Vecchia factoring of GP likelihoods Ignore some conditioning in the dependencies and attain a sparse cholesky factor for the precision matrix 2022-04-27

Hierarchical models DAGs, multilevel models, random coefficient models, mixed effect models, structural equation models… 2015-06-07 – 2022-04-21

Social norms 2019-10-07 – 2022-04-13

Particle belief propagation Graphical inference using empirical distribution estimates 2014-07-25 – 2022-04-08

Particle Markov Chain Monte Carlo Particle systems as MCMC proposals 2014-07-25 – 2022-04-08

The levels of simulacra 2018-12-18 – 2022-04-07

Doing complicated things the obvious way and not researching alternatives when the obvious way turns out to be wrong 2022-04-04 – 2022-04-04

The language game Coevolution of words and meanings 2014-12-29 – 2022-04-01

Partition-valued random variates 2022-04-01

Reservoir Computing 2022-03-28

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

The social brain Rubber-duck-typing 2011-12-09 – 2022-02-27

Symbolic and substantive insurrections Sovereign citizens, LARPing insurgency, institution building 2022-02-20 – 2022-02-27

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

Neurons Neural networks made of real neurons, in functioning brains 2014-11-03 – 2022-02-14

Diversity in society Pluralism, multiculturalism, tolerance, ghettoisation, xenophobic panic 2017-02-19 – 2022-02-13

Probabilistic graphical models 2014-08-05 – 2022-02-08

Random graphical models Causality in amongst confusion 2021-10-26 – 2022-02-07

Sexual ethics and institutions 2020-06-07 – 2022-02-07

Sociology and politics of information Epistemic democracy, cognitive democracy, the great society 2022-01-09 – 2022-02-02

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

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

Statistical projectivity 2020-04-26 – 2022-01-11

Standards hell Lock-in, QWERTY, coordination problems etc 2015-01-05 – 2022-01-11

Group size Scaling dynamics and network effects in social coordination 2011-12-09 – 2022-01-02

Diversity as an end in itself On a rich and vibrant ecosystem of culture and thought 2021-12-13

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

Gaussian Processes as stochastic differential equations Imposing time on things 2019-09-18 – 2021-11-25

Spectral graph theory Linear signals on graphs 2014-11-24 – 2021-10-27

Survey modelling Adjusting for the Lizardman constant 2019-08-29 – 2021-10-24

Networks and graphs, theory thereof 2014-11-24 – 2021-10-20

Economics on networks 2020-05-17 – 2021-10-16

Neural music synthesis 2016-01-15 – 2021-10-14

Random neural networks 2017-02-17 – 2021-10-12

Missing data Imputation, estimation despite etc 2021-10-07

Recurrent neural networks 2016-06-16 – 2021-09-06

Governance of the commons On the mysterious fact that most people get on with most of their neighbours most of the time 2014-10-29 – 2021-09-02

Contact tracing Reverse engineering social graphs for the control of contagions of pathogens, subversive ideology and other substances of interest 2020-03-21 – 2021-07-28

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

Contagion processes and their statistics 2016-08-30 – 2021-07-15

Media virality Strategic modelling for content creators 2016-08-30 – 2021-07-15

Learning summary statistics 2020-04-22 – 2021-07-15

Graph sampling Estimating functionals of graphs 2020-02-15 – 2021-07-06

Applied string mangling Regexes, parsing, tokenising etc 2019-12-09 – 2021-07-05

Distributed sensing, swarm sensing, adaptive social learning 2014-10-13 – 2021-06-28

Learning on tabular data 2020-11-30 – 2021-06-21

Tabular data CSV to Data lake 2020-11-30 – 2021-06-21

Tabular data processing in python CSV to Data lake 2020-11-30 – 2021-06-21

The simplest thing Minimum viable whatever, worse is better, PC-losering, Postel chaos, Burkean engineering 2020-02-03 – 2021-04-27

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

Graph computation 2014-12-17 – 2020-09-20

Independence, conditional, statistical 2016-04-21 – 2020-09-13

Data dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11

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

Emulators and surrogate models via ML Shortcuts in scientific simulation using ML 2020-08-12 – 2020-08-26

Economics of insurgence 2015-02-02 – 2020-07-01

Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23

Inference on social graphs Heterogeneous media and controls 2019-09-22 – 2020-06-03

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

Matching and weighting Making the optimal beverage from the fruit life gave you 2020-04-22

Analysis/resynthesis of audio 2016-01-15 – 2020-04-09

Epidemics 2020-03-10 – 2020-04-03

Learnable indexes and hashes 2018-01-12 – 2020-02-18

Potential theory in probability Something about harmonic functions or whatever 2020-02-12

Journalism, normative Sensors for the superorganism 2020-01-26

*-omics 2016-08-12 – 2020-01-22

Information geometry 2011-10-21 – 2019-12-27

Audio source separation 2019-11-04 – 2019-11-26

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

Non-negative matrix factorisation 2019-10-14

Fourier interpolation 2019-06-19

Topology, applied to problems I know about 2015-01-23 – 2019-06-15

Quantum-probabilistic graphical models 2017-08-07

Marketing psychology 2017-04-27 – 2017-05-29

UNSW Stats reading group 2016 - Causal DAGs An introduction to conditional independence DAGs and their use for causal data. 2016-10-17 – 2016-10-21

Inference from disorder 2016-10-19

Clustering 2015-05-22 – 2016-06-07

Expectation maximisation 2014-08-17 – 2016-04-17

Coarse graining 2014-11-11 – 2015-12-02

Sigma algebras, probability spaces, measure theory The scaffolding of randomness 2015-06-20