Ross Michael Anderson
Ross Anderson is a software engineer at Google Research on the operations research team in Cambridge MA. His recent work has been on problems in the intersection of optimization and machine learning. His personal website can be found here. He obtained his PhD from the MIT Operations Research Center in 2014.
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Strong mixed-integer programming formulations for trained neural networks
Will Ma
Mathematical Programming, 183 (2020), pp. 3-39
Reinforcement Learning with Combinatorial Actions: An Application to the Capacitated Vehicle Routing Problem
Arthur Delarue
Advances in Neural Information Processing Systems (2020)
CaQL: Continuous Action Q-Learning
Moonkyung Ryu
Proceedings of the Eighth International Conference on Learning Representations (ICLR-20), Addis Ababa, Ethiopia (2020)
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Joey Huchette
Krunal K Patel
Will Ma
Advances in Neural Information Processing Systems (2020), pp. 21675-21686
Strong mixed-integer programming formulations for trained neural networks
Integer Programming and Combinatorial Optimization - 20th International Conference, IPCO 2019, Ann Arbor, MI, USA, May 22-24, 2019, Proceedings, Springer, pp. 27-42
