Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity Read more about Stat Colloq: Veronika Rockova

High dimensional interaction selection: from classification to non-linear regression

Multiresolution Matrix Factorization for Learning and Fast Computation Read more about Stat Colloq: Risi Kondor

Scaling and Generalizing Variational Inference Read more about StochStatMIT: David Blei

Next Generation Missing Data Methodology

Some Recent Advances in Trend Filtering Read more about StochStatMIT: Ryan Tibshirani

Title: Moment Conditions and Bayesian Nonparametrics

Abstract: Models phrased though moment conditions are central to much of modern inference. Here these moment conditions are embedded within a nonparametric Bayesian setup. Handling such a model is not probabilistically straightforward as the posterior has support on a manifold. We solve the relevant issues, building new probability and computational tools using...

Read more about HSPHBiostat: Neil Shephard

Classes will follow a Monday schedule.

On Markov chain Monte Carlo methods for tall data

(arXiv preprint)

Read more about Special Lect: Remi Bardenet

Optimal Resource Allocation to Control Epidemic Outbreaks in Networked Populations

Large Average Submatrices of a Gaussian Random Matrix: Landscapes and Local Optima Read more about StochStatMIT: Andrew Nobel

Down-Up Metropolis-Hastings Algorithm for Multimodality

Read more about AstroStatTalk: Hyungsuk Tak

Robust Post-Matching Inference Read more about ApplStatWksp: Jann Spiess

Enabling Customized Computing in Datacenters

Incremental Methods for Additive Convex Cost Optimization Read more about StochStatMIT: Asu Ozdaglar