March 28, 2017

Artificial Intelligence and Machine Learning in Cambridge 2017

09:00-17:00

Lieu: Microsoft Research Cambridge UK

Vidéos

From GANs to Variational Divergence Minimization Durée   0:22:02

March 28, 2017

Sebastian Nowozin

Learning to Code: Machine Learning for Program Induction Durée   0:18:06

March 28, 2017

Alexander Gaunt

Bayesian optimisation in many dimensions with bespoke models Durée   0:18:07

March 28, 2017

Valentin Dalibard

The Automatic Statiscian: a project update Durée   0:26:00

March 28, 2017

Zoubin Ghahramani

Automatic Discovery of the Statistical Types of Variables in a Dataset Durée   0:22:04

March 28, 2017

Isabel Valera

Approximate Inference with Amortised MCMC Durée   0:23:41

March 28, 2017

Yingzhen Li

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks Durée   0:20:23

March 28, 2017

Jose Miguel Hernandez-Lobato

DISCO Nets: DIssimilarity COefficient Networks Durée   0:21:28

March 28, 2017

Diane Bouchacourt

The Supervised Word Mover's Distance Durée   0:16:48

March 28, 2017

Matt Kusner