Hacker News with Generative AI: Bayesian Inference

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale (arxiv.org)
Probabilistic programming languages (PPLs) are receiving widespread attention for performing Bayesian inference in complex generative models.
Probabilistic Programming, Scientific Computing, Machine Learning, Bayesian Inference
3 points by Anon84 40 days ago | 0 comments
Bayesian Neural Networks (cs.toronto.edu)
Bayesian inference allows us to learn a probability distribution over possible neural networks. We can approximately solve inference with a simple modification to standard neural network tools. The resulting algorithm mitigates overfitting, enables learning from small datasets, and tells us how uncertain our predictions are.
Machine Learning, Neural Networks, Bayesian Inference
259 points by reqo 71 days ago | 54 comments
Show HN: Automated smooth Nth order derivatives of noisy data (github.com/hugohadfield)
kalmangrad is a python package that calculates automated smooth N'th order derivatives of non-uniformly sampled time series data. The approach leverages Bayesian filtering techniques to compute derivatives up to any specified order, offering a robust alternative to traditional numerical differentiation methods that are sensitive to noise. This package is built on top of the underlying bayesfilter package.
Python, Machine Learning, Data Analysis, Bayesian Inference
146 points by hugohadfield 104 days ago | 45 comments
Posteriors from Normal – Approximate Bayesian inference for large models (normalcomputing.ai)
Bayesian Inference, Machine Learning, Statistics
18 points by dark_jensen 287 days ago | 0 comments
Statistical Rethinking: a course on Bayesian data analysis [video] (youtube.com)
Statistics, Bayesian Inference, Data Analysis, Education, Video
14 points by jamesfisher 288 days ago | 0 comments