Icml

Three papers were accepted at ICML2021:

• Scalable marginal likelihood estimation for model selection in deep learning by A. Immer, M. Bauer, V. Fortuin, G. Rätsch, M. E. Khan.
• Tractable structured natural gradient descent using local parameterizations by W. Lin, F. Nielsen, M. E. Khan, M. Schmidt.
• Non-exponentially weighted aggregation: regret bounds for unbounded loss functions by P. Alquier.