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world:projet-mda-2025 [2025/11/05 11:06] rdouc [Table] |
world:projet-mda-2025 [2025/11/08 15:41] (current) 2a01:cb04:4cc:6500:84f8:a8b0:4595:4687 [Table] |
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| - | ^ Link to the paper ^ Title ^ Authors ^ Associated team (2 students per project). To register, please double click on the table and fill your name and your classmate. ^ Comments ^ | + | ====== Projects ====== |
| - | | [[https://arxiv.org/pdf/2004.10850.pdf|paper 1]] | **A probabilistic approach to convex (φ)-entropy decay for Markov chains** | Giovanni Conforti | | | | + | |
| - | | [[https://arxiv.org/pdf/2412.17997.pdf|paper 2]] | **Shifted Composition III: Local Error Framework for KL Divergence** | Jason M. Altschuler & Sinho Chewi | | | | + | * [[world:markovchains|Click here to switch back to the Markov chain course website]] |
| - | | [[https://arxiv.org/pdf/2011.10985.pdf|paper 3]] | **A probability approximation framework: Markov process approach** | Peng Chen, Qi‑Man Shao & Lihu Xu | | | | + | |
| - | | [[https://arxiv.org/pdf/1801.07815.pdf|paper 4]] | **Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula** | Xiao Fang, Qi‑Man Shao & Lihu Xu | | | | + | |
| - | | [[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 | | | | + | ^ Link to the paper ^ Title ^ Authors ^ Associated team (2 students per project). To register, please double click on the table and fill your name together with your classmate's name. ^ Comments ^ |
| - | | [[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 | | | | + | | [[https://arxiv.org/pdf/2004.10850.pdf|paper 1]] | **A probabilistic approach to convex (φ)-entropy decay for Markov chains** | Giovanni Conforti | | | |
| - | | [[https://arxiv.org/pdf/2504.01247.pdf|paper 8]] | **On spectral gap decomposition for Markov chains** | Qian Qin | | | | + | | [[https://arxiv.org/pdf/2412.17997.pdf|paper 2]] | **Shifted Composition III: Local Error Framework for KL Divergence** | Jason M. Altschuler & Sinho Chewi | | | |
| - | | [[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/2011.10985.pdf|paper 3]] | **A probability approximation framework: Markov process approach** | Peng Chen, Qi‑Man Shao & Lihu Xu | | | |
| - | | [[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/1801.07815.pdf|paper 4]] | **Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula** | Xiao Fang, Qi‑Man Shao & Lihu Xu | | | |
| - | | [[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/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/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/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/2411.09514.pdf|paper 13]] | **On importance sampling and independent Metropolis‑Hastings with an unbounded weight function** | George Deligiannidis, Pierre E. Jacob, El Mahdi Khribch & Guanyang Wang | | | | + | | [[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://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/2504.01247.pdf|paper 8]] | **On spectral gap decomposition for Markov chains** | Qian Qin | | | |
| - | | [[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/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/2506.22258.pdf|paper 16]] | **Mixing Time Bounds for the Gibbs Sampler under Isoperimetry** | Alexander Goyal, George Deligiannidis & Nikolas Kantas | | | | + | | [[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/2102.00366.pdf|paper 17]] | **Metropolis–Hastings transition kernel couplings** | John O’Leary & Guanyang Wang | | | | + | | [[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/2411.09514.pdf|paper 13]] | **On importance sampling and independent Metropolis‑Hastings with an unbounded weight function** | George Deligiannidis, Pierre E. Jacob, El Mahdi Khribch & Guanyang Wang | | | | ||
| + | | [[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://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/2102.00366.pdf|paper 17]] | **Metropolis–Hastings transition kernel couplings** | John O’Leary & Guanyang Wang | Paul Bastin, Cherif Belkacemi | | | ||
world/projet-mda-2025.1762337181.txt.gz · Last modified: 2025/11/05 11:06 by rdouc
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