Machine Learning, Winter Course/Conference in Statistics

The Conference starts with a Welcome reception, approximately at 20.00 on Sunday, March 10, and is concluded with lunch at 11.00 on Thursday, March 14.

Approximately 18 hours will be scheduled of which 12 lectures will be given by the main speakers.

Lectures will be given in the morning, in late afternoon and in the evening, with opportunity for outdoor activities during midday.

The Conference Programme will be available in February.

Preliminary topics:

AdaNet: adaptive learning of neural networks (Corinna Cortes, Google Research)

Causal Inference & Machine Learning (Edward Kennedy, CMU)

Bayesian Machine Learning (Mattias Villani, Linköping U.)

More info:

https://www.umu.se/en/winter-conference-in-statistics-2019/