Area of research
Artificial Intelligence · Statistics and Probability
Research interest
Research interests include Computer science, Mathematics, Inference, Bayesian probability, Approximate Bayesian computation, and Marginal likelihood.
Flexible Variational Bayes Based on a Copula of a Mixture
Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance
Bayesian Synthetic Likelihood
Variational Bayes With Intractable Likelihood
Gaussian Variational Approximation With a Factor Covariance Structure
Variational Bayes with synthetic likelihood
Mixtures of experts for understanding model discrepancy in dynamic computer models
Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?