3 papers
stat.ME2026
Simulation-based Inference via Langevin Dynamics with Score Matching
Haoyu Jiang, Yuexi Wang, Yun Yang
Simulation-based inference (SBI) enables Bayesian analysis when the likelihood is intractable but model simulations are available. Recent advances in statistics and machine learnin…
stat.CO2026
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
Ke Li, Wei Han, Yuexi Wang +1
We investigate the problem of sampling from posterior distributions with intractable normalizing constants in Bayesian inference. Our solution is a new generative modeling approach…
stat.ME2026
Generative Bayesian Inference with GANs
Yuexi Wang, Veronika RoÄková
In the absence of explicit or tractable likelihoods, Bayesians often resort to approximate Bayesian computation (ABC) for inference. Our work bridges ABC with deep neural implicit…