Events - Page 5

Reinforcement learning for respondent-driven sampling

Biostatistical seminar with Ksenia Sokolova, Department of Computer Science, Princeton University, USA.

Explaining Bayesian optimization by Shapley values

The Bayesian learning rule

Presentation slides from the workshop (restricted access)

All models are wrong, and sometimes, the optimiser is wrong too!  

This seminar is part of the seminar series on Integreat's objective Fair, Explainable and Trustworthy Machine Learning.

Dr. Rami Mochaourab research leader of Research Institutes of Sweden RISE gives a brief overview of trustworthy AI and delves into aspects of trustworthiness: accuracy, privacy, and explainability.

Associate Professor Ana Ozaki from Integreat and Department of Informatics at University of Oslo opens the Tuesdays seminar series with her presentation "Extracting Rules from Machine Learning Models in Angluin’s Style".

Integreat invites centre´s community to engage in the discussions around upcoming projects at the kick-off event. Programme (print)

dScience would like to welcome the Data Science community to the annual Data Science Day.

Artificial intelligence and its rapid rate of development quickly changes both expectations and prerequisites for the development of research, business and society.