Which

How to estimate your energy use

With over 10 years’ experience writing about consumer affairs, Sarah leads on energy content at Which?, helping customers navigate the market and exposing poor practice. In this article Are you a low, ...
GitHub

Stacking Variational Bayesian Monte Carlo (S-VBMC)

Stacking Variational Bayesian Monte Carlo (S-VBMC)[1] is a fast post-processing step for Variational Bayesian Monte Carlo (VBMC). VBMC is an approximate Bayesian inference technique that produces a ...
GitHub

Kalman and Bayesian Filters in Python

Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and ...
IEEE

Scalable Quantum Approximate Optimisation with Adaptive Bayesian Dimensionality Reduction

Abstract: Quantum Approximate Optimisation Algorithm (QAOA) has emerged as a promising hybrid quantum-classical approach for tackling NP-hard combinatorial optimisation problems by combining quantum ...