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Papers
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information (Extended Abstract)
COLT 2025
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
ICML 2025
Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
ALT 2025
Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning
L4DC 2025
Tamed Langevin sampling under weaker conditions
AISTATS 2025
Double-Loop Unadjusted Langevin Algorithm
ICML 2020
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
NeurIPS 2019