Brandon Amos

Brandon is a research scientist at Facebook AI Research (FAIR), working on machine learning, reinforcement learning, optimization, and control. His current focus is specialized modeling components to help add domain-specific priors. He earned his Ph.D. at Carnegie Mellon University, where he studied optimization-based modeling components for learning and control.

Brandon's Publications

December 08, 2019



Differentiable Convex Optimization Layers

Recent work has shown how to embed differentiable optimization problems (that is, problems whose solutions can be backpropagated through) as layers within deep learning architectures. This method provides a useful inductive bias for certain…

Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, J. Zico Kolter,

December 08, 2019