Experimentally Reducing Partisan Incivility on Twitter
Cross-partisan incivility is a pressing concern in American politics, especially online. When partisans communicate incivilly, they are less likely to learn from each other and more likely to distrust each other. This paper analyses the…
Maximally Recoverable Local Reconstruction Codes
Protecting huge amounts of data stored in the cloud from server crashes resulted in distributed storage systems transitioning to erasure coding based schemes. Local Reconstruction Codes (LRCs) have emerged as the codes of choice for…
Learning From and Dealing With Real, Rare World Data In Computer Vision
Computer Vision has achieved tremendous progress in recent years. Primarily because of the availability of massive datasets (e.g., ImageNet or the Yahoo YFCC100m) as well as novel algorithms (e.g., deep learning or large-scale SfM pipelines).…
Making Data Visual
Visual Diagnosis of Tree Boosting Methods
Visualizing Data and Other Big Ideas with Dr. Steven Drucker
In a wide-ranging interview, veteran Microsoft Researcher, Dr. Steven Drucker talks about his work in data visualization, the importance of clear communication in a world of complex algorithms and big data, and the long, slow…