Archive for conference cancellation

COMPSTAT 2020 moved to 2021

Posted in Statistics with tags , , , , , , , on April 2, 2020 by xi'an

Just received the news that the COMPSTAT 2020 meeting that was supposed to take place in Bologna, late August 2020, has been postponed by a year. Meaning that, reasonably, all future COMPSTAT conferences are postponed by a year. This gap policy should apply to all conference cycles, I believe.

!ABC%in%Grenoble

Posted in Mountains, pictures, R, Statistics, Travel, University life with tags , , , , , , , , , on March 9, 2020 by xi'an

Most regrettably, the incoming ABC in Grenoble, planned on 19-20 March 2020 is now postponed till a yet unspecified date, like next Summer or next Fall. Due to travel disruptions all over the World and to gathering restrictions in France, courtesy of the Covid-19 virus. Not particularly surprising given the avalanche of cancellations, but unfortunate. The mirror meetings that had emerged in the past weeks will most likely be cancelled as well, unless a joint program can be constructed based on the local attendees.

Here is the full message from the organisers to the registered participants:

It is with regret that we have to cancel the ABC in Grenoble workshop. We (local organizers) will be waiting for the situation to settle down in order to possibly reschedule for a future date.  If so, we would open up the call again both for contributed talks and posters.
As you may know, we were already planning to provide electronic options to hold virtual mirrors for the workshop. However, we consider that relying only on streamed talks from various places without a main venue here in Grenoble would make it hard to follow.
This may take some time, but we will let you know as soon as we have further information. Please consult the workshop website for up-to-date information

uncertainty quantification unable to quantify coronavirus risks

Posted in Statistics, Travel, University life with tags , , , , , , , on March 8, 2020 by xi'an

Julyan’s talk on priors in Bayesian neural networks [cancelled!]

Posted in pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , on March 5, 2020 by xi'an

Next Friday, 13 March at 1:30p.m., Julyan Arbel, researcher at Inria Grenoble will give a All about that Bayes talk at CMLA, ENS Paris-Saclay (building D’Alembert, room Condorcet, Cachan, RER stop Bagneux) on

Understanding Priors in Bayesian Neural Networks at the Unit Level

We investigate deep Bayesian neural networks with Gaussian weight priors and a class of ReLU-like nonlinearities. Bayesian neural networks with Gaussian priors are well known to induce an L², “weight decay”, regularization. Our results characterize a more intricate regularization effect at the level of the unit activations. Our main result establishes that the induced prior distribution on the units before and after activation becomes increasingly heavy-tailed with the depth of the layer. We show that first layer units are Gaussian, second layer units are sub-exponential, and units in deeper layers are characterized by sub-Weibull distributions. Our results provide new theoretical insight on deep Bayesian neural networks, which we corroborate with simulation experiments.