Welcome to Dan’s brain
The contents of my head are not useful if they stay in there, so I regularly copy-paste them onto the internet, in fact, into this very website you are reading now. Please, make yourself comfortable in my mental house. Here you can find most of the things I am thinking about, in the form of a higgledy heap of half-finished notebooks and occasional polished essays. Themes include whatever shiny thing distracted me into taking notes about it, including, but not limited to,
- statistical inference in areas I am interested in such as pragmatics of reasoning machines, physics-constrained world models, and high-dimensional Bayesian inference…
- philosophy of science and mind in the light of the above, and
- survival tips, broadly construed, for wherever I am living.
You might be after information about me generally, or what I am doing right now.
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The Predictive Approach to Bayesian Inference
Bayes
how do science
likelihood free
probability
statistics
Causal abstraction
AI safety
approximation
Bayes
causal
generative
graphical models
language
machine learning
meta learning
neural nets
NLP
probabilistic algorithms
probability
statistics
stringology
time series
Alzheimers
health
life
mind
Bayesian nonparametric statistics
Bayes
functional analysis
Gaussian
generative
how do science
Monte Carlo
nonparametric
statistics
stochastic processes
The deep history of intelligence
adversarial
AI safety
catastrophe
economics
faster pussycat
innovation
language
machine learning
mind
neural nets
NLP
security
technology
Ensemble Kalman updates are empirical Matheron updates
Bayes
distributed
dynamical systems
generative
linear algebra
machine learning
Monte Carlo
optimization
particle
probabilistic algorithms
probability
sciml
signal processing
state space models
statistics
stochastic processes
time series
Deep linear networks
machine learning
neural nets
optimization
statmech
“Opponent shaping” as a model for manipulation and cooperation
adaptive
agents
bandit problems
bounded compute
collective knowledge
control
cooperation
distributed
economics
evolution
extended self
game theory
incentive mechanisms
learning
machine learning
mind
networks
utility
Neural flow matching models
approximation
Bayes
generative
Monte Carlo
neural nets
optimization
probabilistic algorithms
probability
score function
statistics
Neural likelihood inference
approximation
Bayes
feature construction
likelihood free
machine learning
measure
metrics
probability
sciml
statistics
time series
Spamularity and slop
adversarial
AI safety
bounded compute
communicating
cooperation
culture
economics
faster pussycat
language
machine learning
mind
neural nets
NLP
security
technology
wonk
Ensemble Kalman methods
Bayes
distributed
dynamical systems
generative
graphical models
linear algebra
machine learning
Monte Carlo
optimization
particle
probabilistic algorithms
probability
sciml
signal processing
state space models
statistics
stochastic processes
time series
Model interpretation and explanation
adversarial
AI safety
game theory
hierarchical models
machine learning
sparser than thou
Australian authoritarianism
confidentiality
Southeast Asia
straya
wonk
Distributed community NN training
bounded compute
collective knowledge
concurrency hell
distributed
diy
economics
edge computing
extended self
faster pussycat
incentive mechanisms
innovation
language
machine learning
model selection
neural nets
NLP
optimization
premature optimization
statmech
technology
UI
Creating scientific knowledge
adaptive
bounded compute
collective knowledge
distributed
economics
how do science
incentive mechanisms
institutions
learning
mind
networks
provenance
sociology
standards
Building and Running Scientific Institutions
adaptive
bounded compute
collective knowledge
distributed
economics
how do science
incentive mechanisms
institutions
learning
mind
networks
provenance
sociology
standards
Degrees of freedom in NNs
estimator distribution
information
likelihood
model selection
statistics
Quasi-gradients of discrete parameters
calculus
classification
optimization
probabilistic algorithms
probability
score function
statistics
Discretizing and quantizing neural nets
edge computing
machine learning
model selection
neural nets
sparser than thou
Foundation models for geoscience
dynamical systems
machine learning
neural nets
sciml
SDEs
signal processing
spatial
stochastic processes
time series
Fine tuning foundation models
adaptive
agents
approximation
bandit problems
Bayes
control
generative
incentive mechanisms
language
learning
machine learning
meta learning
networks
neural nets
NLP
optimization
stochastic processes
stringology
time series
utility
Conditioning neural denoising diffusion models
approximation
Bayes
generative
Monte Carlo
neural nets
optimization
probabilistic algorithms
probability
score function
statistics
Backprop-free methods for training neural networks
Bayes
dynamical systems
likelihood free
linear algebra
machine learning
Monte Carlo
neural nets
nonparametric
particle
probability
sciml
signal processing
sparser than thou
statistics
statmech
uncertainty
Numerical Python
compsci
computers are awful
premature optimization
python
Architecture and construction (doing it)
cooperation
culture
design
diy
economics
housing
making things
the rather superior sort of city
Singular Learning Theory
AI safety
dynamical systems
machine learning
neural nets
physics
pseudorandomness
sciml
statistics
statmech
stochastic processes
Innovation, science, technology research in Australia
how do science
policy
straya
wonk
Retirement saving in Australia
diy
economics
money
Southeast Asia
utility
Self-organization
agents
compsci
distributed
extended self
game theory
generative art
hidden variables
incentive mechanisms
life
photon choreography
self similar
spatial
statmech
Queerness
culture
diy
gender
personality
sex
sociology
wonk
Science
academe
agents
collective knowledge
economics
faster pussycat
game theory
how do science
incentive mechanisms
institutions
mind
networks
provenance
sociology
wonk
Validating and reproducing science
academe
agents
collective knowledge
economics
faster pussycat
game theory
how do science
incentive mechanisms
institutions
mind
networks
provenance
sociology
wonk
Quarto integrated website system
academe
faster pussycat
how do science
javascript
julia
language
making things
plain text
premature optimization
python
R
writing
Python debugging, profiling and testing
computers are awful
premature optimization
python
Science for policy
catastrophe
communicating
economics
ethics
how do science
mind
probability
statistics
tail risk
wonk
Research discovery, synthesis
academe
collective knowledge
faster pussycat
how do science
institutions
mind
networks
provenance
sociology
wonk
Quarto
academe
faster pussycat
how do science
javascript
julia
language
making things
plain text
premature optimization
python
R
writing
Reinforcement learning
adaptive
agents
bandit problems
control
incentive mechanisms
learning
networks
stochastic processes
time series
utility
q-exponential process
Gaussian
Hilbert space
kernel tricks
Lévy processes
nonparametric
regression
spatial
stochastic processes
time series
Recurrent / convolutional / state-space
Bayes
convolution
dynamical systems
functional analysis
linear algebra
machine learning
making things
music
networks
neural nets
nonparametric
probability
signal processing
sparser than thou
state space models
statistics
time series
Singapore
South East Asia
statistics
Contemporary rationalists
catastrophe
culture
ethics
history
how do science
incentive mechanisms
institutions
language
learning
mind
wonk
Schelling-Goodhart coordination problems
economics
game theory
incentive mechanisms
institutions
machine learning
optimization
religion
statistics
utility
Science communication of ML research
academe
communicating
faster pussycat
learning
mind
statistics
uv, the python package manager
computers are awful
python
standards
Voice transcriptions and speech recognition
faster pussycat
language
machine learning
NLP
real time
signal processing
stringology
time series
UI
writing
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