d
Aug. 17, 2022, 4:33 p.m. | David Stutz

Blog Archives • David Stutz davidstutz.de

The code for our ICLR'22 paper on learning optimal conformal classifiers is now available on GitHub. The repository not only includes our implementation of conformal training but also relevant baselines such as coverage training and several conformal predictors for evaluation. Furthermore, it allows to reproduce the majority of experiments from the paper.


The post Code Released: Conformal Training appeared first on David Stutz.

blog code computer vision haiku jax machine learning python training

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Data Analyst, Tableau

@ NTT DATA | Bengaluru, KA, IN

Junior Machine Learning Researcher

@ Weill Cornell Medicine | Doha, QA, 24144

Marketing Data Analytics Intern

@ Sloan | Franklin Park, IL, US, 60131

Senior Machine Learning Scientist

@ Adyen | Amsterdam

Data Engineer

@ Craft.co | Warsaw, Mazowieckie