"A Bayesian non-parametric methodology for inferring grammar complexity"

"Scalable Bayesian Inference and Summarization for Functional Data"

"Deep neural networks and stochastic processes"

"Posterior asymptotics in Wasserstein metrics on the real line"
Joint initiative with MIDAS Complex Data Modeling Research Network

"Learning & Exploiting Low-Dimensional Structure in High-Dimensional Data"
Joint initiative with MIDAS Complex Data Modeling Research Network

"Approximate Laplace approximation"
Joint initiative with MIDAS Complex Data Modeling Research Network

"Obtaining faster convergence rates in finite mixture models by taking repeated measures"
Joint initiative with MIDAS Complex Data Modeling Research Network

"Gibbs sampling in the analysis of priors for almost exchangeable data"
Joint initiative with MIDAS Complex Data Modeling Research Network

"Asymmetric least squares techniques for extreme risk estimation"

"Optimality of Spectral Clustering in the Gaussian Mixture Model"

"Asymptotic genealogies of interacting particle systems"

"Confidence sets in a sparse stochastic block model with two communities of unknown sizes"

"Interpolation and learning with scale dependent kernels"

"On the unreasonable effectiveness of Sinkhorn algorithm for learning permutations and entropic optimal transport"

"Improved prediction and optimal sequencing strategies for genomic variant discovery via Bayesian nonparametrics"