March 28, 2017

Artificial Intelligence and Machine Learning in Cambridge 2017

09:00-17:00

位置: Microsoft Research Cambridge UK

動画

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

March 28, 2017

Sebastian Nowozin

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

March 28, 2017

Alexander Gaunt

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

March 28, 2017

Valentin Dalibard

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

March 28, 2017

Zoubin Ghahramani

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

March 28, 2017

Isabel Valera

Approximate Inference with Amortised MCMC 期間   0:23:41

March 28, 2017

Yingzhen Li

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

March 28, 2017

Jose Miguel Hernandez-Lobato

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

March 28, 2017

Diane Bouchacourt

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

March 28, 2017

Matt Kusner