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world:projet-mda-2025 [2025/11/05 13:02] 2a02:8440:a50e:565e::493:6adc [Table] |
world:projet-mda-2025 [2026/01/27 19:53] (current) rdouc |
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| * [[world:markovchains|Click here to switch back to the Markov chain course website]] | * [[world:markovchains|Click here to switch back to the Markov chain course website]] | ||
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| + | ====== The defense schedule ====== | ||
| + | * Room: <color /yellow>1A13</color> (equipped with videoprojector). | ||
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| + | ^ Time (p.m.) ^ Team ^ | ||
| + | | 2:00-2:30 | Audibert-Gabet | | ||
| + | | 2:30-3:00 | Bastin-Belkacemi | | ||
| + | | 3:00-3:30 | Bichard-Cros | | ||
| + | | 3:30-4:00 | Poblete | | ||
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| | [[https://arxiv.org/pdf/2102.04923.pdf|paper 5]] | **Berry–Es̈een Bounds for Multivariate Nonlinear Statistics with Applications to M‑estimators and Stochastic Gradient Descent Algorithms** | Qi‑Man Shao & Zhuo‐Song Zhang | | | | | [[https://arxiv.org/pdf/2102.04923.pdf|paper 5]] | **Berry–Es̈een Bounds for Multivariate Nonlinear Statistics with Applications to M‑estimators and Stochastic Gradient Descent Algorithms** | Qi‑Man Shao & Zhuo‐Song Zhang | | | | ||
| | [[https://arxiv.org/pdf/2308.16196.pdf|paper 6]] | **Asymptotically unbiased approximation of the QSD of diffusion processes with a decreasing time step Euler scheme** | Fabien Panloup & Julien Reygner | | | | | [[https://arxiv.org/pdf/2308.16196.pdf|paper 6]] | **Asymptotically unbiased approximation of the QSD of diffusion processes with a decreasing time step Euler scheme** | Fabien Panloup & Julien Reygner | | | | ||
| - | | [[https://arxiv.org/pdf/2412.09087.pdf|paper 7]] | **General Markovian randomized equilibrium existence and construction in zero‑sum Dynkin games for diffusions** | Sören Christensen & Kristoffer Lindensjö | Améthyste Bichard, Maxime Cros | | | + | | [[https://projecteuclid.org/journalArticle/Download?urlId=10.3150%2F21-BEJ1409|paper 7]] | **Exact convergence analysis of the independent Metropolis-Hastings algorithms** | Guanyang Wang | Améthyste Bichard, Maxime Cros | | |
| | [[https://arxiv.org/pdf/2504.01247.pdf|paper 8]] | **On spectral gap decomposition for Markov chains** | Qian Qin | | | | | [[https://arxiv.org/pdf/2504.01247.pdf|paper 8]] | **On spectral gap decomposition for Markov chains** | Qian Qin | | | | ||
| - | | [[https://arxiv.org/pdf/2410.08423.pdf|paper 9]] | **A phase transition in sampling from Restricted Boltzmann Machines** | Youngwoo Kwon, Qian Qin, Guanyang Wang & Yuchen Wei | | | | + | | [[https://arxiv.org/pdf/2410.08423.pdf|paper 9]] | **A phase transition in sampling from Restricted Boltzmann Machines** | Youngwoo Kwon, Qian Qin, Guanyang Wang & Yuchen Wei | Clémence Audibert, Simon Gabet | | |
| - | | [[https://arxiv.org/pdf/2312.12782.pdf|paper 10]] | **Spectral gap bounds for reversible hybrid Gibbs chains** | Qian Qin, Nianqiao Ju & Guanyang Wang | | | | + | | [[https://arxiv.org/pdf/2312.12782.pdf|paper 10]] | **Spectral gap bounds for reversible hybrid Gibbs chains** | Qian Qin, Nianqiao Ju & Guanyang Wang | Vicente Poblete | | |
| | [[https://arxiv.org/pdf/2201.12500.pdf|paper 11]] | **Analysis of two‑component Gibbs samplers using the theory of two projections** | Qian Qin | | | | | [[https://arxiv.org/pdf/2201.12500.pdf|paper 11]] | **Analysis of two‑component Gibbs samplers using the theory of two projections** | Qian Qin | | | | ||
| | [[https://arxiv.org/pdf/1810.08826.pdf|paper 12]] | **Wasserstein‑based methods for convergence complexity analysis of MCMC with applications** | Qian Qin & James P. Hobert | | | | | [[https://arxiv.org/pdf/1810.08826.pdf|paper 12]] | **Wasserstein‑based methods for convergence complexity analysis of MCMC with applications** | Qian Qin & James P. Hobert | | | | ||
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| | [[https://arxiv.org/pdf/2501.18548.pdf|paper 14]] | **The No‑Underrun Sampler: A Locally‑Adaptive, Gradient‑Free MCMC Method** | Nawaf Bou‑Rabee, Bob Carpenter, Sifan Liu & Stefan Oberdörster | | | | | [[https://arxiv.org/pdf/2501.18548.pdf|paper 14]] | **The No‑Underrun Sampler: A Locally‑Adaptive, Gradient‑Free MCMC Method** | Nawaf Bou‑Rabee, Bob Carpenter, Sifan Liu & Stefan Oberdörster | | | | ||
| | [[https://proceedings.neurips.cc/paper_files/paper/2024/file/99fecf765ecf62c3e3175ef2278f3315-Paper-Conference.pdf|paper 15]] | **Deep Learning for Computing Convergence Rates of Markov Chains** | Y Qu et al. | | | | | [[https://proceedings.neurips.cc/paper_files/paper/2024/file/99fecf765ecf62c3e3175ef2278f3315-Paper-Conference.pdf|paper 15]] | **Deep Learning for Computing Convergence Rates of Markov Chains** | Y Qu et al. | | | | ||
| - | | [[https://arxiv.org/pdf/2506.22258.pdf|paper 16]] | **Mixing Time Bounds for the Gibbs Sampler under Isoperimetry** | Alexander Goyal, George Deligiannidis & Nikolas Kantas | | | | + | | [[https://arxiv.org/pdf/2506.22258.pdf|paper 16]] | **Mixing Time Bounds for the Gibbs Sampler under Isoperimetry** | Alexander Goyal, George Deligiannidis & Nikolas Kantas | Andreas Mignon et Adrien Chivet | | |
| - | | [[https://arxiv.org/pdf/2102.00366.pdf|paper 17]] | **Metropolis–Hastings transition kernel couplings** | John O’Leary & Guanyang Wang | | | | + | | [[https://arxiv.org/pdf/2102.00366.pdf|paper 17]] | **Metropolis–Hastings transition kernel couplings** | John O’Leary & Guanyang Wang | Paul Bastin, Cherif Belkacemi | | |
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| * Please read the <color /yellow>{{ :world:guidelinesmda.pdf |guidelines for the report}}</color>. | * Please read the <color /yellow>{{ :world:guidelinesmda.pdf |guidelines for the report}}</color>. | ||
| * If there is any question, please contact [[[email protected]|Alain Durmus]] or [[[email protected]|Randal Douc]]. | * If there is any question, please contact [[[email protected]|Alain Durmus]] or [[[email protected]|Randal Douc]]. | ||
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world/projet-mda-2025.1762344141.txt.gz · Last modified: 2025/11/05 13:02 by 2a02:8440:a50e:565e::493:6adc
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