This is the page for the joint code (Java) of

• the NeurIPS'23 paper "Boosting with Tempered Exponential Measures", by R. Nock, E. Amid and M.-K. Warmuth.
• the ArXiv #2402.04613 paper "Tempered Calculus for ML: Application to Hyperbolic Model Embedding", by R. Nock, E. Amid, F. Nielsen, A. Soen and M.-K. Warmuth.

You can access the code on Google Research's github: https://github.com/google-research/google-research/tree/master/tempered_boosting (consult the README.md file -- the code for both papers can be run together or independently; they access common classes and methods).

The code does not include an example domain to run. To access an example of UCI domain which can be used (domain abalone), click here (the domain coding / description is documented).

Email: first.m.last@gmail.com