148 citations · 790 across the 56 of their papers we have counts for
3 papers · 1 filter
Convex Optimization in Julia
Madeleine Udell, Karanveer Mohan, David Zeng +3
This paper describes Convex, a convex optimization modeling framework in Julia. Convex translates problems from a user-friendly functional language into an abstract syntax tree des…
Bounding Duality Gap for Separable Problems with Linear Constraints
Madeleine Udell, Stephen Boyd
We consider the problem of minimizing a sum of non-convex functions over a compact domain, subject to linear inequality and equality constraints. Approximate solutions can be found…
Generalized Low Rank Models
Madeleine Udell, Corinne Horn, Reza Zadeh +1
Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data se…