| Learning optimal resource allocations in wireless systems M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019 | 241 | 2019 |
| Constrained reinforcement learning has zero duality gap S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro Advances in Neural Information Processing Systems 32, 2019 | 180 | 2019 |
| Greedy sampling of graph signals LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing 66 (1), 34-47, 2017 | 148 | 2017 |
| Graphon neural networks and the transferability of graph neural networks L Ruiz, L Chamon, A Ribeiro Advances in Neural Information Processing Systems 33, 1702-1712, 2020 | 136 | 2020 |
| 007: Democratically finding the cause of packet drops B Arzani, S Ciraci, L Chamon, Y Zhu, HH Liu, J Padhye, BT Loo, ... 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2018 | 121 | 2018 |
| Safe policies for reinforcement learning via primal-dual methods S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro IEEE Transactions on Automatic Control 68 (3), 1321-1336, 2022 | 107 | 2022 |
| Graphon signal processing L Ruiz, LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing 69, 4961-4976, 2021 | 65 | 2021 |
| Probably approximately correct constrained learning L Chamon, A Ribeiro Advances in Neural Information Processing Systems 33, 16722-16735, 2020 | 39 | 2020 |
| Adversarial robustness with semi-infinite constrained learning A Robey, L Chamon, GJ Pappas, H Hassani, A Ribeiro Advances in Neural Information Processing Systems 34, 6198-6215, 2021 | 37 | 2021 |
| Approximate supermodularity bounds for experimental design L Chamon, A Ribeiro Advances in Neural Information Processing Systems 30, 2017 | 37 | 2017 |
| Risk-constrained linear-quadratic regulators A Tsiamis, DS Kalogerias, LFO Chamon, A Ribeiro, GJ Pappas 2020 59th IEEE Conference on Decision and Control (CDC), 3040-3047, 2020 | 35 | 2020 |
| The mean square error in Kalman filtering sensor selection is approximately supermodular LFO Chamon, GJ Pappas, A Ribeiro 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 343-350, 2017 | 35 | 2017 |
| Combination of adaptive filters with coefficients feedback LFO Chamon, WB Lopes, CG Lopes IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012 | 33 | 2012 |
| The graphon fourier transform L Ruiz, LFO Chamon, A Ribeiro ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 31 | 2020 |
| Probabilistically robust learning: Balancing average and worst-case performance A Robey, L Chamon, GJ Pappas, H Hassani International Conference on Machine Learning, 18667-18686, 2022 | 28 | 2022 |
| Constrained learning with non-convex losses LFO Chamon, S Paternain, M Calvo-Fullana, A Ribeiro IEEE Transactions on Information Theory 69 (3), 1739-1760, 2022 | 27 | 2022 |
| Approximate supermodularity of Kalman filter sensor selection LFO Chamon, GJ Pappas, A Ribeiro IEEE Transactions on Automatic Control 66 (1), 49-63, 2020 | 27 | 2020 |
| Transferability properties of graph neural networks L Ruiz, LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing, 2023 | 26 | 2023 |
| Learning safe policies via primal-dual methods S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro 2019 IEEE 58th Conference on Decision and Control (CDC), 6491-6497, 2019 | 24 | 2019 |
| Near-optimality of greedy set selection in the sampling of graph signals LFO Chamon, A Ribeiro 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 23 | 2016 |
Alejandro RibeiroUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
