"Optimal ranking in crowd-sourcing"

"Nonlinear functionals estimation under local differential privacy"

"Mean-field games: the linear programming approach"

"New Lower and Upper Bounds for Quantile Summary Algorithms"

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

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

"Interpolation and learning with scale dependent kernels"

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

"Asymptotic genealogies of interacting particle systems"

"Optimality of Spectral Clustering in the Gaussian Mixture Model"

"Asymmetric least squares techniques for extreme risk estimation"

"Gibbs sampling in the analysis of priors for almost exchangeable data"
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

"Approximate Laplace approximation"
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

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

A generalized Bayes framework for probabilistic clustering

Unbiased Markov chain Monte Carlo with couplings

Multiscale analysis of Bayesian CART

Bayesian estimation of the latent dimension and communities in stochastic blockmodels