Hanes Hall

Kavita Ramanan Brown University Large Deviations of Random Projections of High-dimensional Measures   Properties of random projections of high-dimensional probability measures are of interest in a variety of fields, including asymptotic convex geometry, and high-dimensional statistics and data analysis. A … Read more

Mayya Zhilova Georgia Institute of Technology Nonasymptotic Edgeworth-type expansions for growing dimension.   In this talk I would like to discuss the problem of establishing higher order accuracy of bootstrapping procedures and (non-)normal approximation in the multivariate or high-dimensional setting. … Read more

Jacob Bien University of Southern California Tree-Based Aggregation of Rare Features for Prediction   It is common in modern prediction problems for many features to be counts of rarely occurring events.  The challenge posed by such "rare features" has received … Read more

Lihua Lei Stanford University Hierarchical Community Detection for Heterogeneous and Multi-scaled Networks   Real-world networks are often hierarchical, heterogeneous, and multi-scaled, while the idealized stochastic block models that are extensively studied in the literature tend to be over-simplified. In a … Read more

Patrick Louis Combettes North Carolina State University Perspective Functions and Applications In this talk I will discuss mathematical and computational issues pertaining to perspective functions, a powerful concept that permits to extend a convex function to a jointly convex one … Read more

Output-Weighted Active Sampling for Bayesian Uncertainty Quantification and Prediction of Rare Events Themis Sapsis We introduce a class of acquisition functions for sample selection that leads to faster convergence in applications related to Bayesian uncertainty quantification of rare events. The approach … Read more