The recent investment in neurotechnology development has spurred tremendous excitement about the potential to uncover the operating principles of biological neural circuits. However, a storm is brewing. If the neuroengineering community is able to achieve their goals of developing technologies that increase the number of interfaced neurons by orders of …
Quasi-Newton methods are viable alternatives to Newton’s method for solving optimization problems because they do not require computing and solving with the potentially very large Hessian matrix while still maintaining a superlinear convergence rate. Systems of linear equations arising from quasi-Newton methods can be solved efficiently using the compact representation …
Optimizing the k-means objective with Lloyd’s algorithm is a classic strategy to separate a set of datapoint into individual clusters. More recent data in biology and social networks necessitates overlapping clustering. I’ll present a generalization of the k-means objective function that incorporates overlapping partitions as well as outlier detection. A …
The notion of machines that can learn has caught imaginations since the days of the early computer. In recent years, as we face burgeoning amounts of data around us that no human mind can process, machines that can learn to automatically find insights from such vast amounts of data have …
Selecting the teams for the College Football Playoff for NCAA Division IA men’s football is a controversial process performed by the selection committee. We present a method for forecasting the four team playoff weeks before the selection committee makes this decision. Our method uses a modified logistic regression/Markov chain model …
Dueling bandits is a variant of the multi-armed bandit problem where instead of playing an arm and observing the reward at each instant, you duel two arms (pairwise comparison) and observe the winner among the two. Linear bandits is a special case of contextual bandits where the reward of an …
I will include the following points in my talk: – What is LiDar? – LiDar Types. – Special considerations for urban areas aerial scanning. – Applications of aerial scanning for urban areas.
I will give a high level talk about current research that studies how to prioritize cyber-security mitigations. I will talk about information technology supply chains, attack graphs, set cover variations, and budgeted maximization of submodular functions.
In a typical atmospheric contamination, “gas leaks” for instance, people are able to identify a deliberate pungent odor and the system responsible for the contamination contents have other various safe guards in place to protect environmental contamination. What happens when the contamination is deliberate and none of the safe guards …
Suppose G is a graph on N vertices, and H is a set of vertices on which someone has secretly “planted” a complete graph, or a graph whose edge-density is significantly greater than that of G. Can we efficiently and reliably find H, given G? This is called the “planted …