Bayesian Inference, Monte Carlo, Probabilistic Models, Stan
AI in a vat: Fundamental limits of efficient world modelling for safe agent sandboxing
lesswrong.com·3h
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
arxiv.org·2d
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
arxiv.org·19h
(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
GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios
nature.com·9h
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
arxiv.org·1d
“I think of analysts as data wizards who help their product teams solve problems”
towardsdatascience.com·8h
Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems
arxiv.org·1d
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