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Luiz F. O. Chamon
Luiz F. O. Chamon
University of Stuttgart
Dirección de correo verificada de simtech.uni-stuttgart.de - Página principal
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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
2632019
Constrained reinforcement learning has zero duality gap
S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro
Advances in Neural Information Processing Systems 32, 2019
2172019
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
1732020
Greedy sampling of graph signals
LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing 66 (1), 34-47, 2017
1552017
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
1332018
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
1292022
Graphon signal processing
L Ruiz, LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing 69, 4961-4976, 2021
762021
Probably approximately correct constrained learning
L Chamon, A Ribeiro
Advances in Neural Information Processing Systems 33, 16722-16735, 2020
482020
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
472021
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
452020
Transferability properties of graph neural networks
L Ruiz, LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing, 2023
412023
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
382022
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
382017
Approximate supermodularity bounds for experimental design
L Chamon, A Ribeiro
Advances in Neural Information Processing Systems 30, 2017
382017
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
372022
Combination of adaptive filters with coefficients feedback
LFO Chamon, WB Lopes, CG Lopes
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012
352012
The graphon fourier transform
L Ruiz, LFO Chamon, A Ribeiro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
342020
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
322023
Approximate supermodularity of Kalman filter sensor selection
LFO Chamon, GJ Pappas, A Ribeiro
IEEE Transactions on Automatic Control 66 (1), 49-63, 2020
312020
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
282019
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