Archive for Reykjavik

a day for comments

Posted in Mountains, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , , , , , , , , , , , on April 21, 2014 by xi'an

As I was flying over Skye (with [maybe] a first if hazy perspective on the Cuillin ridge!) to Iceland, three long sets of replies to some of my posts appeared on the ‘Og:

Thanks to them for taking the time to answer my musings…


AI and Statistics 2014

Posted in Kids, Mountains, Statistics, Travel, University life with tags , , , , , on April 18, 2014 by xi'an

Today, I am leaving Paris for a 8 day stay in Iceland! This is quite exciting, for many reasons: first, I missed the AISTATS 2013 last year as I was still in the hospital;  second, I am giving a short short tutorial on ABC methods which will be more like a long (two hours)  talk; third, it gives me the fantastic opportunity to visit Iceland for a few days, a place that was top of my wish list of countries to visit. The weather forecast is rather bleak but I am carrying enough waterproof layers to withstand a wee bit of snow and rain… The conference proper starts next Tuesday, April 22, with the tutorials taking place next Friday, April 25. Hence leaving me three completely free days for exploring the area near Reykjavik.

variational particle approximations

Posted in Mountains, pictures, Statistics, Travel, University life with tags , , , , , , , on February 28, 2014 by xi'an

IMG_2515In the plane to Montréal, today, I read this paper by Kulkarni, Saeedi and Gershman, which will be presented at AISTATS. The main idea is to create a mix between particle Monte Carlo and a kind of quasi-Monte Carlo technique (qNC is not mentionned in the paper), using variational inference (and coordinate ascent) to optimise the location and weight of the particles. It is however restricted to cases with finite support (as a product of N latent variables) as in an HMM with a finite state space. There is also something I do not get in the HMM case, which is that the variational approximation to the filtering is contracted sequentially. This means that at time the K highest weight current particles are selected while the past remains unchanged. Is this due to the Markovian nature of the hidden model? (Blame oxygen deprivation, altitude dizziness or travelling stress, then!) I also fail to understand how for filtering, “at each time step, the algorithm selects the K continuations (new variable assignments of the current particle set) that maximize the variational free energy.” Because the weight function to be optimised (eqn (11)) seems to freeze the whole past path of particles… I presume I will find an opportunity while in Reykjavik to discuss those issues with the authors.

AISTATS 2014 in Reykjavik, Iceland

Posted in Mountains, Statistics, Travel, University life with tags , , , , , on June 26, 2013 by xi'an

The next AISTATS conference will take place in Reykjavik, Iceland. On April 22-25, 2014. This conference “is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas.” The deadline for paper submissions is November 1, 2013. And there is a deadline for late-breaking poster abstract submissions, namely January 24. Given my heavy travel schedule next year, I am not sure I can attend, but I am definitely tempted! Esp. since I missed AISTATS 2013 in Phoenix, where I was kindly invited, due to The Accident

latent Gaussian model workshop in Reykjavik

Posted in Mountains, R, Statistics, Travel, University life with tags , , , , on March 29, 2013 by xi'an

An announcement for an Icelandic meeting next September, meeting I would have loved to attend (darn!)… This meeting is sponsored by the BayesComp session, of course!!!

We are pleased to announce that the University of Iceland will host the 3rd Workshop on Bayesian Inference for Latent Gaussian Models with Applications (LGM).

The workshop will be held in Reykjavik, Iceland, on September 12-14 2013 at Harpa ~V Reykjavik Concert Hall and Conference Centre:

The emphasized topics of LGM 2013 are:
-Machine learning
-Spatial and spatio-temporal modeling
-Bayesian non-parametrics
-Latent Gaussian models
-The workshop is not restricted to these topics

The invited speakers are:
-Matthias Katzfuß at Universität Heidelberg
-Bani Mallick at Texas A&M University
-Peter Müller at University of Texas
-Michèle Sebag at INRIA Saclay, CNRS
-Matthias Seeger at École Polytechnique Fédérale de Lausanne
-Christopher Wikle at University of Missouri

Registration fees:
Early bird fee before May 21th ~@ 375
Registration fee after May 21th ~@ 440
Student fee ~@ 250

Detailed information on the scientific program, conference field trip, organizing committee, scientific committee and meeting registration is available on the conference web-site:


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