133 citations · 139 across the 4 of their papers we have counts for
4 papers
Log-Linear Dynamical Systems
Steven Diamond
We present log-linear dynamical systems, a dynamical system model for positive quantities. We explain the connection to linear dynamical systems and show how convex optimization ca…
Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt +3
Recent work has shown how to embed differentiable optimization problems (that is, problems whose solutions can be backpropagated through) as layers within deep learning architectur…
Disciplined Multi-Convex Programming
Xinyue Shen, Steven Diamond, Madeleine Udell +2
A multi-convex optimization problem is one in which the variables can be partitioned into sets over which the problem is convex when the other variables are fixed. Multi-convex pro…
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…