Variational Gram Functions: Convex Analysis and Optimization

16 July 2015

Papers citing "Variational Gram Functions: Convex Analysis and Optimization"

5 / 5 papers shown

Title
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 43 0 19 Feb 2019
New Perspectives on k-Support and Cluster Norms Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 61 58 0 06 Mar 2014
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory Aleksandr Aravkin J. Burke G. Pillonetto 84 64 0 19 Jan 2013
Determinantal point processes for machine learning Alex Kulesza B. Taskar 173 1,123 0 25 Jul 2012