Learning Sparsely Used Overcomplete Dictionaries

Compute Faster and Learn Better: Machine Learning via Nonconvex Model-based Optimization Read more about BU CISE Sem: Tuo Zhao

Probabilistic solution of differential equations for Bayesian uncertainty quantification and inference

Sparse Signal Detection with Binary Outcomes

In this talk, I will discuss three examples of sparse signal detection problems in the context of binary outcomes. These will be motivated by examples from next generation sequencing association studies, understanding heterogeneities in large scale networks, and exploring opinion distributions over networks. Moreover, these three examples will serve as templates to explore interesting phase transitions present in such studies. In particular, these phase transitions will be aimed at revealing a difference between studies with...

Read more about Seminar: Rajarshi Mukherjee

Perfect sampling and gradient simulation of Queueing Networks

Series Expansions for the All-time Maximum of alpha-stable Random Walks

Tree-like Structure in Social and Information Networks

Machine Learning and Robotics: Interplay and Interaction

Causal Estimation of Peer Effects in Longitudinal Dyadic Data Using Instrumental Variables

Optimal Resource Allocation to Control Epidemic Outbreaks in Networked Populations

Assessing Agreement between Many Raters for Ordinal Classification Automatic Inference in Stan

Causal and statistical inference with social network data: Massive challenges and meager progress Read more about BrownCSSem: Elizabeth Ogburn

Adaptive factor analysis models for assessing drug sensitivity and pathway activation in individual patient samples Read more about BUStatPrSem: Evan Johnson

Abstract Fourth Moment Theorems Read more about BUStatPrSem: Simon Campese

Estimation of Small Tail Probabilities in Food Safety and Bio-Surveillance