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  1. Nicolas Chopin is a researcher and teacher in Bayesian computation, Monte Carlo methods, and machine learning. He is the author of a book on Sequential Monte Carlo and the developer of a python library for Bayesian inference.

    • ENSAE, Paris
  2. Nicolas Chopin (in Polish: Mikołaj Chopin; 15 April 1771 – 3 May 1844) was a teacher of the French language in Partitioned Poland, and father of Polish composer Frédéric Chopin.

  3. Nicolas Chopin is a French statistician and Bayesian expert who teaches and researches at ENSAE, a leading French engineering school. He has published several books and articles on Bayesian methods, Monte Carlo simulation, and applications to various fields of science.

  4. Nicolas Chopin – Professor of data sciences. Professor of data sciences. ENSAE. 5 avenue Henry Le Chatelier 91764 Palaiseau CedexFRANCE. +33 1 41 17 65 22. nicolas.chopin@ensae.fr Í https://nchopin.github.io/ Experience. Sept. 2006– Professor of data sciences, ENSAE, IPP, Palaiseau, FRANCE. to date 2003–2006 2002–2003 1999–2002.

  5. Nicolas Chopin (PhD, Université Pierre et Marie Curie, Paris, 2003) has been a Professor of Statistics at ENSAE, Paris, since 2006. He was previously a lecturer at Bristol University (UK). He is a current or former associate editor for Annals of Statistics, Biometrika, Journal of the Royal Statistical Society, Statistics and Computing, and ...

  6. Faculty Bio. Nicolas Chopin is a Professor of Data Sciences at the ENSAE since 2006. Before that he was a lecturer at Bristol University (2003-2006). He obtained his PhD at Université Paris VI in 2003 (for which he was awarded the 2002 Savage award for best doctoral dissertation in Bayesian Statistics), and his HDR (habilitation à diriger des ...

  7. Nicolas Chopin is a researcher in machine learning and statistics, with a focus on Bayesian methods, particle filters, and sequential Monte Carlo. His publications include papers on tempering, entropic mirror descent, slate policy optimization, PAC-Bayesian offline contextual bandits, and more.

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