Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
We study nonparametric regression between Riemannian manifolds based on regularized empirical risk minimization. Regularization functionals for mappings between manifolds should re...
Algebra I, II Complex Variables I, II Analysis I, II Awards, Scholarships, Fellowships Received • Back Cover Image, Proceedings of ACM SIGGRAPH, 2011 • New York University Henr...
Alec Jacobson, Ilya Baran, Ladislav Kavan, Jovan P...
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...