Selective Inference is the problem of testing hypotheses that are chosen or suggested by the
data. Inference after variable selection in high-dimensional linear regression is a common
example of…

CAM Colloquium: Dennis Amelunxen (Cornell) - Phase Transitions in Convex Geometry and Optimization
Friday, February 8, 2013 at 3:45pm
Frank H. T. Rhodes Hall, 253
Convex optimization provides a…

Over the past decade my research group has worked to operationalize our “many-objective visual analytics” (MOVA) framework for the design and management of complex engineered systems.…