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Luiz F. O. Chamon
Luiz F. O. Chamon
Verified email at simtech.uni-stuttgart.de - Homepage
Title
Cited by
Cited by
Year
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
2572019
Constrained reinforcement learning has zero duality gap
S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro
Advances in Neural Information Processing Systems 32, 2019
2082019
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
1602020
Greedy sampling of graph signals
LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing 66 (1), 34-47, 2017
1522017
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
1312018
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
1212022
Graphon signal processing
L Ruiz, LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing 69, 4961-4976, 2021
732021
Probably approximately correct constrained learning
L Chamon, A Ribeiro
Advances in Neural Information Processing Systems 33, 16722-16735, 2020
462020
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
442021
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
412020
Transferability properties of graph neural networks
L Ruiz, LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing, 2023
372023
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
372017
Approximate supermodularity bounds for experimental design
L Chamon, A Ribeiro
Advances in Neural Information Processing Systems 30, 2017
372017
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
352022
Combination of adaptive filters with coefficients feedback
LFO Chamon, WB Lopes, CG Lopes
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012
342012
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
332022
The graphon fourier transform
L Ruiz, LFO Chamon, A Ribeiro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
332020
Approximate supermodularity of Kalman filter sensor selection
LFO Chamon, GJ Pappas, A Ribeiro
IEEE Transactions on Automatic Control 66 (1), 49-63, 2020
292020
State augmented constrained reinforcement learning: Overcoming the limitations of learning with rewards
M Calvo-Fullana, S Paternain, LFO Chamon, A Ribeiro
IEEE Transactions on Automatic Control, 2023
272023
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
272019
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