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^ Associated team (at most 2 students). To register, double click and fill your first name, your family name. And do the same for your classmate.  ^  Title                                                                                                           ^  Paper                                            ^ Comments  ^
| Yichuan Huang                                                                                                                                    |  Log-concave sampling: Metropolis-Hastings algorithms are fast                                                   |  [[https://arxiv.org/pdf/1801.02309.pdf| paper]]  | R         |
| Rafaël Digneaux & Côme Eupherte                                                                                                                  |  Computable bounds on convergence of Markov chains in Wassertein distance                                        |  [[https://arxiv.org/pdf/2308.10341.pdf| paper]]  | R         |
| Anna Bahrii                                                                                                                                      |  On the limitations of single-step drift and minorization in Markov chain convergence analysis                   |  [[https://arxiv.org/pdf/2003.09555.pdf| paper]]  | R         |
| Sturma Thomas & Victor-Emmanuel Grün                                                                                                             |  Lower bounds on the rate of convergence for accept-reject-based Markov chains                                   |  [[https://arxiv.org/pdf/2212.05955.pdf| paper]]  |           |
| Ekin Arikök & Gaspard Gomez                                                                                                                      |  The pseudo-marginal approach for efficient Monte Carlo computations                                             |  [[https://arxiv.org/pdf/0903.5480.pdf| paper]]   |           |
| Emile Averous & Nathan de Montgolfier                                                                                                            |  Poincaré inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis                        |  [[https://arxiv.org/pdf/2208.05239.pdf| paper]]  |           |
| Laureline Legros                                                                                                                                 |  Convergence of diffusions and their discretizations: from continuous to discrete processes and back             |  [[https://arxiv.org/pdf/1904.09808|paper]]       |           |
| Hugo Malafosse & Philippe Sarotte                                                                                                                |  Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm  |  [[https://arxiv.org/pdf/2201.05002|paper]]       | R         |
| Jérôme Taupin & Ales Brahiti                                                                                                                     |  Convergence rate bounds for iterative random functions using one-shot coupling                                  |  [[https://arxiv.org/pdf/2112.03982| paper]]      |           |

====== Instructions ======
  * A short summary (5 pages max) of the paper is requested before the defense. You can add technical appendix (with no limitation size) if needed. 
  * The defense will be 20 minutes long per project + questions.
  * Be as pedagogical as possible, you can highlight a particular proof that interests you if you find it interesting. 
  * Please read the <color /yellow>{{ :world:guidelinesmda.pdf |guidelines for the report}}</color>.    
  * If there is any question, please contact [[alain.durmus@polytechnique.edu|Alain Durmus]] or [[randal.douc@polytechnique.edu|Randal Douc]].

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Welcome to Randal Douc's wiki

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