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Carl Mueller, Department of Computer Science, �鶹ӰԺCHOMP: Gradient Optimization Techniques for Efficient Motion PlanningExisting high-dimensional motion planning algorithms are simultaneously overpowered and

Chance Constraints for Smart Buildings and Smarter GridsEvolving energy systems are introducing heightened levels of stress on the electric power grid. Fluctuating renewable energy sources, dynamic electricity pricing, and new loads such as plug-in

Managing Default Contagion In Inhomogeneous Financial Networks The aim of this paper is to quantify and manage systemic risk caused by default contagion in the interbank market. Our results allow us to determine the impact of local shocks to the

Learning from Large-Scale Spatiotemporal DataIn many real-world applications, such as internet of things (IoT), transportation and physics, machine learning is applied to large-scale spatiotemporal data. Such data is often nonlinear, high-

Paper presentation of “Practical sketching algorithms for low-rank matrix approximation” by Tropp, et al.We will present the following paper:“Practical sketching algorithms for low-rank matrix approximation” by J. A. Tropp, A. Yurtsever, M.

discussion of paper "Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions"  The authors (Regis et al.) propose an iterative response-surface model for optimization which is well suited to nonlinear

First part of our series on the reproducibility crisis:Peter Shaffery will present Simmons, Nelson, and Simonsohn's seminal 2011 article "False Positive Psychology" (http://journals.sagepub.com/doi/abs/10.1177/0956797611417632)Here's a quick

Some Recent Results on Linear Programming Based Approximate Dynamic Programming The linear programming based approximate dynamic programming has received considerable attention in the recent literature. In this approach, high dimensional dynamic

With the growing scale and complexity of datasets in scientific disciplines, traditional data analysis methods are no longer practical to extract meaningful information and patterns. The need to process large-scale datasets by memory and computation

Event Description:Abtin Rahimian, Courant Institute of Mathematical Sciences, New York UniversityFast algorithms for structured matrices in simulations of physical systems  Real-world complex phenomena are typically characterized by