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^ Link to the paper ^ Title ^ Authors ^ Associated team (at most 2 students) ^ Comments ^
| [[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 | | |
| [[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 | | |
| [[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/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/2312.12782.pdf|paper 10]] | **Spectral gap bounds for reversible hybrid Gibbs chains** | Qian Qin, Nianqiao Ju & 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 | | |

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