PAC-Bayes has recently re-emerged as an effective theory with which one ...
Assessing the validity of a real-world system with respect to given qual...
We present an approach that incorporates expert knowledge for time-serie...
We present a PAC-Bayesian analysis of lifelong learning. In the lifelong...
Pruning neural networks reduces inference time and memory costs. On stan...
The loss surface of an overparameterized neural network (NN) possesses m...
Deep Gaussian Processes learn probabilistic data representations for
sup...
Gaussian Processes (GPs) are a generic modelling tool for supervised
lea...