Bayesian Inference, Monte Carlo, Probabilistic Models, Stan
The Observer Effect for belief measurement
lesswrong.com·1h
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
arxiv.org·3d
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
arxiv.org·1d
(1) Fitting hierarchical models in genetics, (2) A Stan model that runs faster with 400,000 latent parameters, (3) Super-scalable penalized maximum likelihood i...
statmodeling.stat.columbia.edu·1d
News for July 2025
ptreview.sublinear.info·16h
GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios
nature.com·1d
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
arxiv.org·2d
EP174: 16 Coding Patterns That Make Interviews Easy
blog.bytebytego.com·16m
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