InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...
GitHub

Bayesian Modeling and Computation in Python

This repository contains the open-access version of the text and the code examples in the book. All of this can be more easily viewed at www.bayesiancomputationbook.com For the most up-to-date code ...
GitHub

gbc — Generative Bayesian Computation

Python companion package for the textbook: Generative Bayesian Computation: Quantile Neural Networks for Inference and Surrogates Nicholas Polson (University of Chicago) & Vadim Sokolov (George Mason ...
IEEE

Task-Oriented Computation Offloading for Edge Inference: An Integrated Bayesian Optimization and Deep Reinforcement Learning Framework

Abstract: Edge intelligence (EI) allows resource-constrained edge devices (EDs) to offload computation-intensive AI tasks (e.g., visual object detection) to edge servers (ESs) for fast execution.