Z Zhou, Z Huang, S Misailovic - International Symposium on Automated …, 2023 - Springer
We propose a novel tool, AquaSense, to automatically reason about the sensitivity analysis of probabilistic programs. In the context of probabilistic programs, sensitivity analysis …
Probabilistic programming aims to open the power of Bayesian reasoning to software developers and scientists, but identification of problems during inference and debugging are …
The series Lecture Notes in Computer Science (LNCS), including its subseries Lecture Notes in Artificial Intelligence (LNAI) and Lecture Notes in Bioinformatics (LNBI), has …
Probabilistic programming simplifies the encoding of statistical models as straightforward programs. At its core, it employs an inference algorithm which automate the model inference …
Abstract Machine Learning (ML) is rapidly revolutionizing the way modern-day systems are developed. However, testing ML-based systems is challenging due to 1) the presence of …