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Programme 2019

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

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



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

Building Trust and Fighting Misinformation (Corinna Cortes, Google Research)

Causal Inference & Machine Learning (Edward Kennedy, CMU)

Bayesian Machine Learning (Mattias Villani, Linköping U.)


Back to Winter Conference in Statistics 2019