Abstract: Most large-scale optimization problems are solved in practice using iterative algorithms. The problem of selecting a suitable algorithm is currently more of an art than a science; a great...
Abstract: Large scale neural networks used in practice are highly over-parameterized with far more trainable model parameters compared to the number of training examples. Consequently, the...
Abstract: The temporal structure of human sleep changes across development as sleep consolidates from the fragmented sleep of infants to the single nighttime sleep period typical in adults. This...
Abstract: Many science and engineering applications necessitate the optimization of systems described by partial differential equations (PDEs) with uncertain inputs including noisy physical parameters...
Abstract: This talk is about robotic manipulation of deformable objects, such as flexible cables and thin surfaces. An elastic rod is a canonical example of such an object. In this talk, I’ll prove...
