Two papers accepted to ICML 2016!

Two papers from our group members have been accepted to ICML conference in New York, USA: “A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums” by Anton Rodomanov and Dmitry Kropotov and a collaborative paper with Google DeepMind “Meta-learning with Memory-augmented Neural Networks” authored by Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra and Timothy Lillicrap.