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ORCIDLuiz F. O. Chamon
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- affiliation: University of Stuttgart, Germany
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2020 – today
- 2024
[j12]Miguel Calvo-Fullana
, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. IEEE Trans. Autom. Control. 69(7): 4275-4290 (2024)- [c42]Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro:
Near-Optimal Solutions of Constrained Learning Problems. ICLR 2024 - [i29]Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro:
Near-Optimal Solutions of Constrained Learning Problems. CoRR abs/2403.11844 (2024) - [i28]Viggo Moro, Luiz F. O. Chamon:
Solving Differential Equations with Constrained Learning. CoRR abs/2410.22796 (2024) - 2023
- [j11]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Trans. Autom. Control. 68(3): 1321-1336 (2023) - [j10]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory 69(3): 1739-1760 (2023) - [j9]Cássio Guimarães Lopes, Vítor Heloiz Nascimento, Luiz F. O. Chamon:
Distributed Universal Adaptive Networks. IEEE Trans. Signal Process. 71: 1817-1832 (2023) - [j8]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. 71: 3474-3489 (2023) - [c41]Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. ICML 2023: 3815-3854 - [c40]Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro:
Automatic Data Augmentation via Invariance-Constrained Learning. ICML 2023: 13410-13433 - [c39]Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon:
Resilient Constrained Learning. NeurIPS 2023 - [i27]Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon:
Resilient Constrained Learning. CoRR abs/2306.02426 (2023) - 2022
- [j7]Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Approximately Supermodular Scheduling Subject to Matroid Constraints. IEEE Trans. Autom. Control. 67(3): 1384-1396 (2022) - [c38]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML 2022: 18667-18686 - [i26]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR abs/2202.01136 (2022) - [i25]Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro:
Automatic Data Augmentation via Invariance-Constrained Learning. CoRR abs/2209.15031 (2022) - [i24]Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. CoRR abs/2210.00301 (2022) - 2021
- [j6]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. IEEE Trans. Autom. Control. 66(1): 49-63 (2021) - [j5]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Signal Processing. IEEE Trans. Signal Process. 69: 4961-4976 (2021) - [c37]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC 2021: 1563-1567 - [c36]Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain:
Towards Safe Continuing Task Reinforcement Learning. ACC 2021: 902-908 - [c35]Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas:
Source Seeking in Unknown Environments with Convex Obstacles. ACC 2021: 5055-5061 - [c34]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS 2021: 6198-6215 - [i23]Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR abs/2102.11941 (2021) - [i22]Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain:
Towards Safe Continuing Task Reinforcement Learning. CoRR abs/2102.12585 (2021) - [i21]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Learning with Non-Convex Losses. CoRR abs/2103.05134 (2021) - [i20]Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro:
Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR abs/2110.15767 (2021) - [i19]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Transferability Properties of Graph Neural Networks. CoRR abs/2112.04629 (2021) - 2020
- [j4]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. 68: 2031-2044 (2020) - [j3]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Functional Nonlinear Sparse Models. IEEE Trans. Signal Process. 68: 2449-2463 (2020) - [c33]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CDC 2020: 3040-3047 - [c32]Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain, Alejandro Ribeiro:
Resilient Control: Compromising to Adapt. CDC 2020: 5703-5710 - [c31]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO 2020: 1050-1054 - [c30]Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. ICASSP 2020: 5480-5484 - [c29]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
The Graphon Fourier Transform. ICASSP 2020: 5660-5664 - [c28]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The Empirical Duality Gap of Constrained Statistical Learning. ICASSP 2020: 8374-8378 - [c27]Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Counterfactual Programming for Optimal Control. L4DC 2020: 235-244 - [c26]Luiz F. O. Chamon, Alejandro Ribeiro:
Probably Approximately Correct Constrained Learning. NeurIPS 2020 - [c25]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS 2020 - [i18]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The empirical duality gap of constrained statistical learning. CoRR abs/2002.05183 (2020) - [i17]Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Approximately Supermodular Scheduling Subject to Matroid Constraints. CoRR abs/2003.08841 (2020) - [i16]Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. CoRR abs/2004.04685 (2020) - [i15]Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR abs/2006.03548 (2020) - [i14]Luiz F. O. Chamon, Alejandro Ribeiro:
Probably Approximately Correct Constrained Learning. CoRR abs/2006.05487 (2020) - [i13]Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. CoRR abs/2011.12344 (2020)
2010 – 2019
- 2019
- [j2]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. 67(10): 2775-2790 (2019) - [c24]Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Learning Gaussian Processes with Bayesian Posterior Optimization. ACSSC 2019: 482-486 - [c23]Vinícius Lima Silva, Luiz F. O. Chamon, Alejandro Ribeiro:
Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection. ACC 2019: 347-353 - [c22]Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro:
Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling. CDC 2019: 3391-3398 - [c21]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Learning Safe Policies via Primal-Dual Methods. CDC 2019: 6491-6497 - [c20]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP 2019: 3292-3296 - [c19]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP 2019: 4729-4733 - [c18]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Sparse Recovery over Nonlinear Dictionaries. ICASSP 2019: 4878-4882 - [c17]Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS 2019: 7553-7563 - [i12]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Sparse multiresolution representations with adaptive kernels. CoRR abs/1905.02797 (2019) - [i11]Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas:
Source Seeking in Unknown Environments with Convex Obstacles. CoRR abs/1909.07496 (2019) - [i10]Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. CoRR abs/1910.13393 (2019) - [i9]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR abs/1911.09101 (2019) - [i8]Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Risk-Aware MMSE Estimation. CoRR abs/1912.02933 (2019) - [i7]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Approximate Supermodularity of Kalman Filter Sensor Selection. CoRR abs/1912.03799 (2019) - 2018
- [j1]Luiz F. O. Chamon, Alejandro Ribeiro:
Greedy Sampling of Graph Signals. IEEE Trans. Signal Process. 66(1): 34-47 (2018) - [c16]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Online Deep Learning in Wireless Communication Systems. ACSSC 2018: 1289-1293 - [c15]Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC 2018: 2022-2026 - [c14]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Strong Duality of Sparse Functional Optimization. ICASSP 2018: 4739-4743 - [c13]Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred:
007: Democratically Finding the Cause of Packet Drops. NSDI 2018: 419-435 - [i6]Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred:
007: Democratically Finding The Cause of Packet Drops. CoRR abs/1802.07222 (2018) - [i5]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Learning Optimal Resource Allocations in Wireless Systems. CoRR abs/1807.08088 (2018) - [i4]Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro:
Functional Nonlinear Sparse Models. CoRR abs/1811.00577 (2018) - 2017
- [c12]Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
The mean square error in Kalman filtering sensor selection is approximately supermodular. CDC 2017: 343-350 - [c11]Luiz F. O. Chamon, Alejandro Ribeiro:
Finite-precision effects on graph filters. GlobalSIP 2017: 603-607 - [c10]Luiz F. O. Chamon, Alejandro Ribeiro:
Universal bounds for the sampling of graph signals. ICASSP 2017: 3899-3903 - [c9]Luiz F. O. Chamon, Alejandro Ribeiro:
Approximate Supermodularity Bounds for Experimental Design. NIPS 2017: 5403-5412 - [c8]Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Harry Liu, Jitu Padhye, Geoff Outhred, Boon Thau Loo:
Closing the Network Diagnostics Gap with Vigil. SIGCOMM Posters and Demos 2017: 40-42 - [i3]Luiz F. O. Chamon, Alejandro Ribeiro:
Greedy Sampling of Graph Signals. CoRR abs/1704.01223 (2017) - [i2]Luiz F. O. Chamon, Alejandro Ribeiro:
Approximate Supermodularity Bounds for Experimental Design. CoRR abs/1711.01501 (2017) - 2016
- [c7]Luiz F. O. Chamon, Alejandro Ribeiro:
Near-optimality of greedy set selection in the sampling of graph signals. GlobalSIP 2016: 1265-1269 - [i1]Luiz F. O. Chamon, Cássio Guimarães Lopes:
Combinations of Adaptive Filters with Coefficients Feedback. CoRR abs/1608.03248 (2016) - 2014
- [c6]Cássio Guimarães Lopes, Luiz F. O. Chamon, Vítor H. Nascimento:
Towards spatially universal adaptive diffusion networks. GlobalSIP 2014: 803-807 - [c5]Luiz F. O. Chamon, Cássio Guimarães Lopes:
There's plenty of room at the bottom: Incremental combinations of sign-error LMS filters. ICASSP 2014: 7248-7252 - 2013
- [c4]Luiz F. O. Chamon, Cássio Guimarães Lopes:
Transient performance of an incremental combination of LMS filters. EUSIPCO 2013: 1-5 - 2012
- [c3]Luiz F. O. Chamon, Humberto F. Ferro, Cássio Guimarães Lopes:
A data reusage algorithm based on incremental combination of LMS filters. ACSCC 2012: 406-410 - [c2]Luiz F. O. Chamon, Wilder Bezerra Lopes, Cássio Guimarães Lopes:
Combination of adaptive filters with coefficients feedback. ICASSP 2012: 3785-3788 - 2011
- [c1]Luiz F. O. Chamon, Cássio Guimarães Lopes:
Combination of adaptive filters for relative navigation. EUSIPCO 2011: 1771-1775
Coauthor Index
[j12] [c42] [i29] [j11] [j10] [j8] [c41] [c40] [c39] [i27] [j7] [i25] [i24] [j6] [j5] [c37] [c35] [c34] [i23] [i21] [i20] [i19] [j4] [j3] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i18] [i17] [i16] [i15] [i14] [i13] [j2] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i12] [i11] [i10] [i9] [i8] [i7] [j1] [c16] [c15] [c14] [i5] [i4] [c12] [c11] [c10] [c9] [i3] [i2] [c7]
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