3 papers
stat.CO2026
Using Variational Inference to Improve the Efficiency of MCMC Algorithms
Pingping Yin, Xiyun Jiao
Bayesian statistics makes inference based on Bayes' theorem, but the posterior distribution of unknown parameters is typically analytically intractable. To estimate the posterior,…
cs.CL2026
SafePred: A Predictive Guardrail for Computer-Using Agents via World Models
Yurun Chen, Zeyi Liao, Ping Yin +3
With the widespread deployment of Computer-using Agents (CUAs) in complex real-world environments, prevalent long-term risks often lead to severe and irreversible consequences. Mos…
stat.ML2025
A Novel Framework Using Variational Inference with Normalizing Flows to Train Transport Reversible Jump Proposals
Pingping Yin, Xiyun Jiao
We propose a unified framework that employs variational inference (VI) with (conditional) normalizing flows (NFs) to train both between-model and within-model proposals for reversi…