Archive for conference

don’t be late for BayesComp’2020

Posted in Statistics with tags , , , , , , , , , , , , , on October 4, 2019 by xi'an

An important reminder that October 14 is the deadline for regular registration to BayesComp 2020 as late fees will apply afterwards!!! The conference looks attractive enough to agree to pay more, but still…

off to SimStat2019, Salzburg

Posted in Mountains, Running, Statistics, University life with tags , , , , , , , , , , , , , on September 2, 2019 by xi'an

Today, I am off to Salzburg for the SimStat 2019 workshop, or more formally the 10th International Workshop on Simulation and Statistics, where I give a talk on ABC. The program of the workshop is quite diverse and rich and so I do not think I will have time to take advantage of the Hohe Tauern or the Berchtesgaden Alps to go climbing. Especially since I am also discussing papers in an ABC session.

deadlines for BayesComp’2020

Posted in pictures, Statistics, Travel, University life with tags , , , , , , , , , , , on August 17, 2019 by xi'an

While I have forgotten to send a reminder that August 15 was the first deadline of BayesComp 2020 for the early registrations, here are further deadlines and dates

  1. BayesComp 2020 occurs on January 7-10 2020 in Gainesville, Florida, USA
  2. Registration is open with regular rates till October 14, 2019
  3. Deadline for submission of poster proposals is December 15, 2019
  4. Deadline for travel support applications is September 20, 2019
  5. There are four free tutorials on January 7, 2020, related with Stan, NIMBLE, SAS, and AutoStat

conditional noise contrastive estimation

Posted in Books, pictures, University life with tags , , , , , , , , on August 13, 2019 by xi'an

At ICML last year, Ciwan Ceylan and Michael Gutmann presented a new version of noise constrative estimation to deal with intractable constants. While noise contrastive estimation relies upon a second independent sample to contrast with the observed sample, this approach uses instead a perturbed or noisy version of the original sample, for instance a Normal generation centred at the original datapoint. And eliminates the annoying constant by breaking the (original and noisy) samples into two groups. The probability to belong to one group or the other then does not depend on the constant, which is a very effective trick. And can be optimised with respect to the parameters of the model of interest. Recovering the score matching function of Hyvärinen (2005). While this is in line with earlier papers by Gutmann and Hyvärinen, this line of reasoning (starting with Charlie Geyer’s logistic regression) never ceases to amaze me!

green sunset [jatp]

Posted in pictures with tags , , , , , , , , , on June 17, 2019 by xi'an

MaxEnt 2019 [last call]

Posted in pictures, Statistics, Travel with tags , , , , , , , on April 30, 2019 by xi'an

For those who definitely do not want to attend O’Bayes 2019 in Warwick,  the Max Ent 2019 conference is taking place at the Max Planck Institute for plasma physics in Garching, near Münich, (south) Germany at the same time. Registration is still open at a reduced rate and it is yet not too late to submit an abstract. A few hours left. (While it is still possible to submit a poster for O’Bayes 2019 and to register.)

BayesComp 20 [full program]

Posted in pictures, R, Statistics, Travel, University life with tags , , , , , , , , , , , , , on April 15, 2019 by xi'an

The full program is now available on the conference webpage of BayesComp 20, next 7-10 Jan 2020. There are eleven invited sessions, including one j-ISBA session, and a further thirteen contributed sessions were selected by the scientific committee. Calls are still open for tutorials on Tuesday 07 January (with two already planed on Nimble and AutoStat) and for posters. Now is the best time for registering! Note also that travel support should be available for junior researchers.