August 12, 2016. Our paper on Learning to learn by gradient descent by gradient descent was accepted at NIPS 2016. See you in Barcelona!
January 1, 2016. I have accepted a position as a research scientist at Google DeepMind and am excited to join this coming March!
September 17, 2015. I spoke at the Gaussian process summer school’s workshop on global optimization; at the site you can find videos for each talk presented. We also released an updated version of pybo, our code for modular Bayesian optimization.
December 13, 2014. Along with several colleagues I presented papers at the BayesOpt workshop on modular Bayesian optimization, a shortened version of our PES paper, PES with unknown constraints, as well as entropy-based approaches to portfolio construction.