Back from training camp in Mölln http://en.wikipedia.org/wiki/M%C3%B6lln,_Schleswig-Holstein Must've rowed approx 200 km

These guys are always working on interesting stuff http://arxiv.org/abs/1001.0175

Michalis Titsias has a great new paper on variational GP-LVM in AISTATS http://www.cs.man.ac.uk/~mtitsias/papers/vargplvmAISTATS10.pdf

Google Scholar just became even more cool scholar.google.dk/citations?user…

I'm reading up on John Aitchison's http://bit.ly/cxWqq8 work on compositional data. Definitely recommendable

Our Mikkel Schmidt's blog post plot used in kommunikationsforum.dk/artikler/aaret…

'Calibrated uncertainty for #molecular property prediction...' by Tejs Vegge Jonas Busk, P Jørgensen, Arghya Bhowmik, Mikkel N. Schmidt, O Winther DTU Compute DTU Energy BATTERY 2030 + BIG-MAP hits 2000 downloads! bit.ly/3EkH6Lh #machinelearning #neuralnetworks #compchem

Won gold rowing in 8GP in Maribo in a 4- up against three 4x's.

Bronzealderen var bronzens guldalder.

We came in 3rd in http://www.copenhagenharbourrace.dk/ this year

Nonparametric Bayesian Matrix Factorization by Power-EP http://jmlr.csail.mit.edu/proceedings/papers/v9/ding10a/ding10a.pdf

Just read Matt Hoffman et al.'s paper on variational inference in non-parametric NMF with exponential likelihood http://bit.ly/9Jurk0

Our paper on hyperspectral imaging is out http://goo.gl/8xol

Looking forward to reading this book http://amzn.to/9duQF0

An excellent chapter on Hamiltonian MCMC has been leaked http://bit.ly/dgAW6W

Christian Robert's comments on Girolami and Calderhead's Riemann manifold Hamiltonian Monte Carlo paper http://bit.ly/c3mowT

40 Fascinating Blogs for the Ultimate Statistics Geek http://bit.ly/gELhqp

Bayesian hierarchical clustering using rose trees http://goo.gl/cnN0E

Reading up on Gibbs fragmentation trees DOI: 10.3150/08-BEJ134

The human paradox that is common sense bit.ly/qfehjd