#gaussianprocesses — Public Fediverse posts

New preprint by Moss et al. on a new paradigm for #Gaussian Process #regression where you can condition on (almost) anything, even #LLM prompts.

📝 https://arxiv.org/abs/2605.21041

#MachineLearning #GaussianProcessRegression #GPR #GaussianProcesses

@charleemos I have found both the #PyMC tutorials (https://www.pymc.io/projects/docs/en/latest/guides/Gaussian_Processes.html) and the #Stan User's Guide (https://mc-stan.org/docs/stan-users-guide/gaussian-processes.html) on #GaussianProcesses good for getting your hands dirty. Seeing GPs in action and fiddling with hyperparameters was helpful for me to understand the mathematical underpinnings.

Cordial congrats to Michel Talagrand on winning this year's Abel Prize, well deserved! His works on bounding #stochastic_process are also of great value for #cosmology ! Imagine we lacked knowledge of bounds on #GaussianProcesses !

https://youtu.be/wDIqCN7E7VA?si=Jb68QcR8fyqx54Zb

#AbelPrize #AbelPrize2024 #MichelTalagrand

Via Alexander Terenin: stochastic gradient descent can be used as an efficient approximate sampling algorithm for Gaussian processes. Looks super cool: https://arxiv.org/abs/2306.11589

#GaussianProcesses #Bayesian

Funded (£20,410 4-year tax-free stipend) PhD positions available with me at Imperial College London

#PathIntegrals, #DFT, #CompChem, #MachineLearning, #GaussianProcesses, #JuliaLang, #MonteCarlo, excitement, adventure and really wild things!

Next interview round closing Friday 14th July 2023 .

More details and exemplar projects in this Google doc: https://docs.google.com/document/d/1wiG-T8uqgq_-h-Btu1tecmdrZbK-zS006eB6BKGqFgI/edit?usp=sharing

Funded (£20,410 4-year tax-free stipend) PhD positions available with me at Imperial College London

#PathIntegrals, #DFT, #CompChem, #MachineLearning, #GaussianProcesses, #JuliaLang, #MonteCarlo, excitement, adventure and really wild things!

Next interview round closing Friday 14th July 2023 .

More details and exemplar projects in this Google doc: https://docs.google.com/document/d/1wiG-T8uqgq_-h-Btu1tecmdrZbK-zS006eB6BKGqFgI/edit?usp=sharing

Funded (£20,410 4-year tax-free stipend) PhD positions available with me at Imperial College London

#PathIntegrals, #DFT, #CompChem, #MachineLearning, #GaussianProcesses, #JuliaLang, #MonteCarlo, excitement, adventure and really wild things!

Next interview round closing Friday 14th July 2023 .

More details and exemplar projects in this Google doc: https://docs.google.com/document/d/1wiG-T8uqgq_-h-Btu1tecmdrZbK-zS006eB6BKGqFgI/edit?usp=sharing

Funded (£20,410 4-year tax-free stipend) PhD positions available with me at Imperial College London

#PathIntegrals, #DFT, #CompChem, #MachineLearning, #GaussianProcesses, #JuliaLang, #MonteCarlo, excitement, adventure and really wild things!

Next interview round closing Friday 14th July 2023 .

More details and exemplar projects in this Google doc: https://docs.google.com/document/d/1wiG-T8uqgq_-h-Btu1tecmdrZbK-zS006eB6BKGqFgI/edit?usp=sharing

Funded (£20,410 4-year tax-free stipend) PhD positions available with me at Imperial College London

#PathIntegrals, #DFT, #CompChem, #MachineLearning, #GaussianProcesses, #JuliaLang, #MonteCarlo, excitement, adventure and really wild things!

Next interview round closing Friday 14th July 2023 .

More details and exemplar projects in this Google doc: https://docs.google.com/document/d/1wiG-T8uqgq_-h-Btu1tecmdrZbK-zS006eB6BKGqFgI/edit?usp=sharing

@tylerjburch Yes, I hear you 😓

You've likely already fixed your installation and I'm not sure whether you're using #jupyter, but I found this guide really helpful:

https://pkseeg.com/post/jupyter-venv/

Now, I always warn people to never mess with the base installation of #python on a machine but use (virtual) environments instead.

Good luck with the #GaussianProcesses, I'm going through the #pymc tutorials for it right now 😎

I'm eyeballs deep into understanding #GaussianProcesses (GPs). There are great resources out there but I can thoroughly recommend this introductory paper on #Distill by Görtler et al. The interactive plots are a great https://doi.org/10.23915/distill.00017

I have, once again, made the strange choice to write a blog. This one is about Gaussian Process and, particularly, about what the Markov property looks like when you don't have a linear notion of time to help you define a past and present.

Like all my GP posts, this one is wildly technical but with an aim towards being somewhat useful. The information here is hard to find unless you want to read a 400 page book translated from Russian
https://dansblog.netlify.app/posts/2023-01-21-markov/markov.html

#GaussianProcesses #machinelearning

👋 This is my first time attending @NeuripsConf (virtually to reduce carbon emissions).

On Friday I'll join the workshop "Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems," where we have a paper, poster, and lightning talk on GPs for modeling #paleoclimate.

If you're attending and want to chat about #GaussianProcesses, probabilistic programming (#ProbProg), or @ArviZ, ping me!

#NeurIPS2022

Check out some results from one of our current projects! #Spatiotemporal modeling of European #paleoclimate using doubly sparse #GaussianProcesses

https://arxiv.org/abs/2211.08160

I am a harmless wandering anthropologist, bringing 20 hours of free #CausalInference and #BayesianStatistics instruction to your door. From foundations of inference through DAGs, #MultilevelModels & poststratified causal effects to #GaussianProcesses, Bayesian imputation & ODEs. Theatrical trailer below. Playlist: https://www.youtube.com/playlist?list=PLDcUM9US4XdMROZ57-OIRtIK0aOynbgZN

I just fixed some typos in my blogpost on priors for #GaussianProcesses. The way you know it's my blog is that the guy who emailed me said "the equation after footnote 99 doesn't match how you used it after footnote 108".

#MachineLearning #statistics #bayesian #Stan

https://dansblog.netlify.app/posts/2022-09-07-priors5/priors5.html