Chamon, Luiz

6 publications

ICML 2022 Probabilistically Robust Learning: Balancing Average and Worst-Case Performance Alexander Robey, Luiz Chamon, George J. Pappas, Hamed Hassani
NeurIPS 2021 Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey, Luiz Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
NeurIPS 2020 Graphon Neural Networks and the Transferability of Graph Neural Networks Luana Ruiz, Luiz Chamon, Alejandro Ribeiro
NeurIPS 2020 Probably Approximately Correct Constrained Learning Luiz Chamon, Alejandro Ribeiro
NeurIPS 2019 Constrained Reinforcement Learning Has Zero Duality Gap Santiago Paternain, Luiz Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
NeurIPS 2017 Approximate Supermodularity Bounds for Experimental Design Luiz Chamon, Alejandro Ribeiro