Roger Grosse

Roger Grosse is interested in finding neural network architectures and algorithms that train faster, generalize better, give calibrated uncertainty, and uncover the structure underlying a problem. He also aims to automate the configuration of machine learning systems, from the tuning of hyperparameters to the design of models, architectures, and algorithms.