Showing 1–20 of 75 results
/ Date/ Name
Jun 1, 2023On the Convergence of Coordinate Ascent Variational InferenceAug 31, 2016Partitioned Cross-Validation for Divide-and-Conquer Density EstimationJun 7, 2013Bayesian factorizations of big sparse tensorsJan 21, 2014Dirichlet-Laplace priors for optimal shrinkageMay 27, 2023Fair Clustering via Hierarchical Fair-Dirichlet ProcessNov 20, 2018A Modified Sequential Probability Ratio TestMay 16, 2020Nonasymptotic Laplace approximation under model misspecificationJul 2, 2019Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed BanditsOct 19, 2020Statistical Guarantees and Algorithmic Convergence Issues of Variational BoostingDec 14, 2020Approximate Laplace approximations for scalable model selectionFeb 17, 2017Empirical Bayes, SURE and Sparse Normal Mean ModelsDec 25, 2017On Statistical Optimality of Variational BayesMay 26, 2015Optimal Bayesian estimation in stochastic block modelsSep 30, 2022Factorized Fusion Shrinkage for Dynamic Relational DataAug 19, 2025Conditionally specified graphical modeling of stationary multivariate time seriesSep 22, 2025Bayesian Semi-supervised Inference via a Debiased Modeling ApproachOct 19, 2023Constrained Reweighting of Distributions: an Optimal Transport ApproachFeb 17, 2020Nonparametric Bayesian Deconvolution of a Symmetric Unimodal DensityNov 4, 2011Anisotropic function estimation using multi-bandwidth Gaussian processesJun 16, 2016Functional Horseshoe Priors for Subspace Shrinkage