Luke Gorrie

[email protected]

[Luke Gorrie @lukego]

See y'all at SBCL25 in Vienna May 2-3 😎 https://t.co/2GsGbpBxb0

[Luke Gorrie @lukego]

@tcarpenter216 Gen.jl thesis is a great "computer science" take on building models as arbitrary programs and doing diverse things with them. The likelihood is very simple in this formulation. Great for "programmer brain" at least.

[Luke Gorrie @lukego]

*Performance team 😂

[Luke Gorrie @lukego]

@domenkozar Spring chicken 😁

[Luke Gorrie @lukego]

@satnam6502 Så klart!

[Luke Gorrie @lukego]

It never gets old hearing teachers saying "shit!" to preschool kids.

[Luke Gorrie @lukego]

One word that English needs to borrow from Swedish is "shit." As in a mild exclaimation, like "darn," that a small child might say in the middle of a family Christmas special on TV.

[Luke Gorrie @lukego]

@NTNikolaev @ffkiv See you then 😎

[Cyber City Circuits @MakeAugusta]

When they say, I never use flux… they just don’t know.

[Luke Gorrie @lukego]

@NTNikolaev @ffkiv That was fine work we all did together back in the day! Should have a beer to celebrate somehow somewhere 😎

[Luke Gorrie @lukego]

Looking for a Christmas present for a geek? This book is staggeringly beautiful: https://t.co/yedANMEG7k

[Luke Gorrie @lukego]

@abecedarius Maybe it's time for me to do some tourism in Python-land. The guy who wrote the book on SMC is maintaining an interesting framework there (https://t.co/gPa04gq7EK). I'm also curious about JAX.

[Luke Gorrie @lukego]

Ending this week on the thought: is Nested Sequential Monte Carlo sampling eerily similar to Monte Carlo Tree Search? Have to chase up how/if MCTS is applied in Bayesian context.

[Luke Gorrie @lukego]

@abecedarius (Happy holidays! 😁)

[Luke Gorrie @lukego]

@abecedarius Gen.jl has an example where they call out to PyTorch to train a neural network to make proposals:
https://t.co/cgug7p2ytS
That sounded pretty out-there to me the first time I encountered it but maybe it's the common sense approach to good proposals in high dimensions.

[Luke Gorrie @lukego]

@abecedarius Generally I'm warming up to the idea of black-box proposal distributions in Sequential Monte Carlo e.g. via deep learning, reinforcement learning, etc.
I mean, why not? Seems like (...) it should be straightforward to meet the requirements for Bayesian hygiene e.g. proper weight.

[Aaron A. Glenn @networkservice]

cool stuff happening. if you are also cool, consider being cooler with me and my cool team doing that happening cool stuff

😎

[Luke Gorrie @lukego]

@creationix Sorry to hear this turned out to be such a horrible experience 😐 should have been awesome.

[Luke Gorrie @lukego]

Tensor Monte Carlo: Particle Methods for the GPU era 🍿
https://t.co/Rh8JeCkmAC

[Luke Gorrie @lukego]

blog: JuliaCon Local 2023 trip notes.
https://t.co/ClNLdzYUyF