
Christian Tjandraatmadja
Christian Tjandraatmadja is a software engineer in the Operations Research team. He received his PhD from Carnegie Mellon University in 2018.
Research Areas
Authored Publications
Sort By
Google
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