Follow
Luiz F. O. Chamon
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
1672019
Greedy sampling of graph signals
LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing 66 (1), 34-47, 2017
1162017
Constrained reinforcement learning has zero duality gap
S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro
Advances in Neural Information Processing Systems 32, 2019
852019
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
702018
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
502020
Safe policies for reinforcement learning via primal-dual methods
S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro
IEEE Transactions on Automatic Control, 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
312012
Approximate supermodularity bounds for experimental design
L Chamon, A Ribeiro
Advances in Neural Information Processing Systems 30, 2017
302017
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
262017
Graphon signal processing
L Ruiz, LFO Chamon, A Ribeiro
IEEE Transactions on Signal Processing 69, 4961-4976, 2021
252021
The graphon fourier transform
L Ruiz, LFO Chamon, A Ribeiro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
202020
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
192016
Efficient filtering structure for spline interpolation and decimation
D Lamb, LFO Chamon, VH Nascimento
Electronics letters 52 (1), 39-41, 2016
182016
FIR–IIR adaptive filters hybrid combination
HF Ferro, LFO Chamon, CG Lopes
Electronics Letters 50 (7), 501-503, 2014
152014
Functional nonlinear sparse models
LFO Chamon, YC Eldar, A Ribeiro
IEEE Transactions on Signal Processing 68, 2449-2463, 2020
142020
Approximate supermodularity of Kalman filter sensor selection
LFO Chamon, GJ Pappas, A Ribeiro
IEEE Transactions on Automatic Control 66 (1), 49-63, 2020
142020
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
142019
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
132021
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
132020
Probably approximately correct constrained learning
L Chamon, A Ribeiro
Advances in Neural Information Processing Systems 33, 16722-16735, 2020
132020
The system can't perform the operation now. Try again later.
Articles 1–20