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DTSTART:20230326T010000
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DTSTART:20231029T010000
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DTSTART;TZID=Europe/Helsinki:20230116T140000
DTEND;TZID=Europe/Helsinki:20230116T151500
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SUMMARY:Marylou GABRIE (Ecole polytechnique) “Opportunities and Challenges in Enhancing Sampling with Learning”
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 16th of January 2023\nPlace: Room 3001 \nMarylou GABRIE (Ecole polytechnique) “Opportunities and Challenges in Enhancing Sampling with Learning” \nAbstract: \nDeep generative models parametrize very flexible families of distributions able to fit complicated datasets of images or text. Virtually\, these models provide independent samples from complex high-distributions at negligible costs. On the other hand\, sampling exactly a target distribution\, such a Bayesian posterior\, is typically challenging: either because of dimensionality\, multi-modality\, ill-conditioning or a combination of the previous. In this talk\, I will review recent works trying to enhance traditional inference and sampling algorithms with learning. I will present in particular flowMC\, an adaptive MCMC with Normalizing Flow along with first applications and remaining challenges. \n  \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Alexandre TSYBAKOV (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST)\nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/marylou-gabrie-ecole-polytechnique-opportunities-and-challenges-in-enhancing-sampling-with-learning/
CATEGORIES:Statistics
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