EXPLORING DATA SCIENCE
What is Likelihood-Free Inference, and What Are Its Use Cases?
Published in
May 21, 2021
Advances in likelihood-free inference and meta-learning made Arthur Pesah (PhD student in quantum computing at UCL) and Antoine Wehenkel (PhD Student at Belgium’s National Fund for Scientific Research) wonder: “Can we build a machine that takes a tweakable simulator and real data as input, and returns the version of the simulator that fits best some real data?” Read this eye-opening article to find out what they discovered. It offers multiple GIFs and graphs to ease your exploration of these complex concepts.