Online Learning with Pairwise Loss Functions

Pairwise learning refers to a learning task which involves a loss function depending on pairs of examples, among which most notable ones include bipartite ranking, metric learning, minimum entropy error and AUC maximization. Online learning algorithms consider one instance each time to update the model sequentially, which make them amenable for streaming data analysis. However, most of such algorithms focused on the pointwise learning problems such as classification and regression.

Rensselaer Astrobiology Research and Education Center

The mission of the RARE Center is to advance the field of astrobiology by catalyzing innovative and interdisciplinary research through novel training and educational programs, and by modeling serving as a platform to evolve a multidisciplinary collection of research programs into a truly interdisciplinary and interactive collaborative network. The RARE Center brings together researchers from across RPI, along with national and international colleagues and partners, who are broadly interested in the field of Astrobiology. 

Tetherless World Constellation

The Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) is a constellation of multidisciplinary researchers who study the scientific and engineering principles that underlie the Web, to enhance the Web's reach beyond the desktop and laptop computer, and develops new technologies and languages that expand the capabilities of the Web under three themes: Future Web, Xinformatics and Semantic Foundations.

Data Science Research Center

Complex problems require interdisciplinary solutions. The Rensselaer Data Science Research Center develops the technologies to enable that multidisciplinary research. The center acquires, processes, archives, analyzes, model, visualizes, simulates, and disseminates complex data to close the data-to-knowledge gap across multiple time and length scales.

The Jefferson Project

The Jefferson Project at Lake George—a collaboration between Rensselaer Polytechnic Institute, IBM Research, and The FUND for Lake George—is an unprecedented technological approach to studying fresh water so we can understand impacts of human activities and how to mitigate those effects. The Jefferson Project combines Internet-of-Things technology and powerful analytics with lake and atmospheric science to create a new model for environmental monitoring and prediction.