Bayesian hierarchical community discovery
Blundell, C Whye Teh, Y Advances in Neural Information Processing Systems (01 Jan 2013)

The University of Oxford’s Ashmolean Museum is not only an exhibitor of art, but home to vital artistic research. The museum’s collections are investigated by some of the world’s leading historians, archaeologists, anthropologists and… mathematicians?

Throughout November 2016, the Ashmolean Museum and Oxford Mathematics proudly present Random Walks, a series of short films that present the historical world through mathematical eyes.

We are getting better at predicting things about our environment - the impact of climate change for example. But what about predicting our collective effect on ourselves? We can predict the small things, but we fail miserably when it comes to many of the big things. The financial crisis cost the world trillions, yet our ability to forecast and mitigate the next economic crisis is very low. Is this inherently impossible? Or perhaps we are just not going about it the right way? 

Approximate policy iteration for Markov decision processes via quantitative adaptive aggregations
Abate, A Češka, M Kwiatkowska, M Lecture Notes in Computer Science volume 9938 13-31 (22 Sep 2016)
Mon, 14 Nov 2016

12:00 - 13:00
C2

Occupants of Manifolds

Steffen Tillmann
(Muenster)
Abstract

I will report on joint work with Michael Weiss (https://arxiv.org/pdf/1503.00498.pdf):

Let K be a subset of a smooth manifold M. In some cases, functor calculus methods lead to a homotopical formula for M \ K in terms of the spaces M \ S,  where S runs through the finite subsets of K. This is for example the case when K is a smooth compact sub manifold of co-dimension greater or equal to three.

 

 

Thu, 10 Nov 2016
11:00
C5

tba

Ehud Hrushovski.
Subscribe to