Artificial Intelligence and Machine Learning in Cambridge 2017

About

Description

Cambridge and the silicon fens have a large machine learning community across the university and many small and larger Cambridge companies.

This academic workshop aims to connect this community better and to learn from each other about interesting research and applications in the broad machine learning spectrum.

Attendance and Registration

Please note registration for this event has now closed.

Organizers:

Sebastian Nowozin, Microsoft Research Cambridge

Miguel Hernandez-Lobato, University of Cambridge

Zoubin Ghahramani, University of Cambridge

 

Agenda

Time Title Speaker
9:15 – 9:45
Registration & Welcome tea/coffee
9:45 – 10:05
Learning to Code: Machine Learning for Program Induction
Alex Gaunt
10:05 – 10:25
Learning Program Representations: Symbols to Vectors to Semantics
10:25 – 10:45
TBD
10:45 – 11:05
From GANs to Variational Divergence Minimization
11:05 – 11:30
Coffee break
11:30 – 11:50
Automatic Discovery of the Statistical Types of Variables in a Dataset
Isabel Valera
11:50 – 12:10
Approximate Inference with Amortised MCMC
Yingzhen Li
12:10 – 12:30
The Automatic Statistician: a project update
Zoubin Ghahramani
12:30 – 12:50
The Supervised Word Mover’s Distance
Matt Kusner
1:00 – 2:00
Lunch
2:00 – 2:20
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Jose Miguel Hernandez Lobato
2:20 – 2:40
Bayesian optimisation in many dimensions with bespoke models
Adrian Weller
2:40 – 3:00
Grammar Variational Autoencoder
Brooks Paige
3:00 – 3:20
Invertible Transformations for Bayesian Neural Network Inference
Amar Shah
3:20 – 4:00
Coffee break
4:00 – 4:20
AI for Healthcare
4:20 – 4:40
Project Alexandria: a web scale probabilistic program for unsupervised knowledge base construction
4:40 – 5:00
The Malmo Collaborative AI Challenge