Archive for PSL

pr[AI]rie day

Posted in Statistics with tags , , , , , , on October 19, 2021 by xi'an

AI for the sciences [PhD funding]

Posted in Statistics with tags , , , , , , , , , on December 9, 2020 by xi'an

Our mega-university, PSL, is calling PhD candidates to apply for one of the 15 PhD scholarships supported to work on one of the 24 PhD topics proposed in the call. Deadline is 22 February 2021, the only constraint for applicants being that they must have stayed or studied less than 12 months in France, since 27 Feb 2018 … Here are some of the 24 topics:

Francis Bach à l’Académie des Sciences

Posted in Statistics with tags , , , , , on April 8, 2020 by xi'an

Congrats to Francis Bach, freshly nominated to the French Academy of Sciences, joining Stéphane Mallat²⁰¹⁴ and Éric Moulines²⁰¹⁷ as data science academicians!

unbiased MCMC with couplings [4pm, 26 Feb., Paris]

Posted in Books, pictures, Statistics, University life with tags , , , , , , , , , , , on February 24, 2020 by xi'an

On Wednesday, 26 February, Pierre Jacob (Havard U, currently visiting Paris-Dauphine) is giving a seminar on unbiased MCMC methods with couplings at AgroParisTech, bvd Claude Bernard, Paris 5ième, Room 32, at 4pm in the All about that Bayes seminar.

MCMC methods yield estimators that converge to integrals of interest in the limit of the number of iterations. This iterative asymptotic justification is not ideal; first, it stands at odds with current trends in computing hardware, with increasingly parallel architectures; secondly, the choice of “burn-in” or “warm-up” is arduous. This talk will describe recently proposed estimators that are unbiased for the expectations of interest while having a finite computing cost and a finite variance. They can thus be generated independently in parallel and averaged over. The method also provides practical upper bounds on the distance (e.g. total variation) between the marginal distribution of the chain at a finite step and its invariant distribution. The key idea is to generate “faithful” couplings of Markov chains, whereby pairs of chains coalesce after a random number of iterations. This talk will provide an overview of this line of research.

digital humanities meet artificial intelligence [course]

Posted in Statistics with tags , , , , , , , , , , on December 6, 2019 by xi'an

Paris Sciences & Lettres University (PSL) is organising next semester a special one-week training on the topic “Digital Humanities Meet Artificial Intelligence”. This course is open to Master and PhD students, as well and researchers, subject to availability (and free). This intensive training will cover theoretical, numerical and applicative topics at the intersection between both fields. The dates are March 30-April 3, 2020, the course is located in downtown Paris, and the pre-registration form is already on-line. The courses are given by

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