Luiz F. O. Chamon

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 73

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Signal Process.

Publications

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) (2024)
Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
Near-Optimal Solutions of Constrained Learning Problems. ICLR (2024)
Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
Near-Optimal Solutions of Constrained Learning Problems. CoRR (2024)
Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro
Learning Globally Smooth Functions on Manifolds. ICML (2023)
Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
Automatic Data Augmentation via Invariance-Constrained Learning. ICML (2023)
Cássio Guimarães Lopes, Vítor Heloiz Nascimento, Luiz F. O. Chamon
Distributed Universal Adaptive Networks. IEEE Trans. Signal Process. 71 (2023)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory 69 (3) (2023)
Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
Resilient Constrained Learning. NeurIPS (2023)
Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
Resilient Constrained Learning. CoRR (2023)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. 71 (2023)
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) (2023)
Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
Approximately Supermodular Scheduling Subject to Matroid Constraints. IEEE Trans. Autom. Control. 67 (3) (2022)
Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
Automatic Data Augmentation via Invariance-Constrained Learning. CoRR (2022)
Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro
Learning Globally Smooth Functions on Manifolds. CoRR (2022)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML (2022)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR (2022)
Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
Source Seeking in Unknown Environments with Convex Obstacles. ACC (2021)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR (2021)
Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
Towards Safe Continuing Task Reinforcement Learning. CoRR (2021)
Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR (2021)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Learning with Non-Convex Losses. CoRR (2021)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Signal Processing. IEEE Trans. Signal Process. 69 (2021)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC (2021)
Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
Towards Safe Continuing Task Reinforcement Learning. ACC (2021)
Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
Approximate Supermodularity of Kalman Filter Sensor Selection. IEEE Trans. Autom. Control. 66 (1) (2021)
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS (2021)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Transferability Properties of Graph Neural Networks. CoRR (2021)
Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas
Risk-Constrained Linear-Quadratic Regulators. CDC (2020)
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Counterfactual Programming for Optimal Control. L4DC (2020)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
The empirical duality gap of constrained statistical learning. CoRR (2020)
Luiz F. O. Chamon, Alejandro Ribeiro
Probably Approximately Correct Constrained Learning. NeurIPS (2020)
Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. ICASSP (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
The Graphon Fourier Transform. ICASSP (2020)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
The Empirical Duality Gap of Constrained Statistical Learning. ICASSP (2020)
Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain, Alejandro Ribeiro
Resilient Control: Compromising to Adapt. CDC (2020)
Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
Functional Nonlinear Sparse Models. IEEE Trans. Signal Process. 68 (2020)
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. CoRR (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO (2020)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. 68 (2020)
Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
Approximately Supermodular Scheduling Subject to Matroid Constraints. CoRR (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR (2020)
Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas
Risk-Constrained Linear-Quadratic Regulators. CoRR (2020)
Luiz F. O. Chamon, Alejandro Ribeiro
Probably Approximately Correct Constrained Learning. CoRR (2020)
Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR (2019)
Vinicius Lima Silva, Luiz F. O. Chamon, Alejandro Ribeiro
Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection. ACC (2019)
Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Reinforcement Learning Has Zero Duality Gap. CoRR (2019)
Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
Sparse Recovery over Nonlinear Dictionaries. ICASSP (2019)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP (2019)
Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS (2019)
Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling. CDC (2019)
Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
Source Seeking in Unknown Environments with Convex Obstacles. CoRR (2019)
Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
Learning Safe Policies via Primal-Dual Methods. CDC (2019)
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Learning Gaussian Processes with Bayesian Posterior Optimization. ACSSC (2019)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Sparse multiresolution representations with adaptive kernels. CoRR (2019)
Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
Risk-Aware MMSE Estimation. CoRR (2019)
Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
Approximate Supermodularity of Kalman Filter Sensor Selection. CoRR (2019)
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) (2019)
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)
Luiz F. O. Chamon, Alejandro Ribeiro
Greedy Sampling of Graph Signals. IEEE Trans. Signal Process. 66 (1) (2018)
Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC (2018)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Learning Optimal Resource Allocations in Wireless Systems. CoRR (2018)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Online Deep Learning in Wireless Communication Systems. ACSSC (2018)
Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
Strong Duality of Sparse Functional Optimization. ICASSP (2018)
Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
Functional Nonlinear Sparse Models. CoRR (2018)
Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
The mean square error in Kalman filtering sensor selection is approximately supermodular. CDC (2017)
Luiz F. O. Chamon, Alejandro Ribeiro
Universal bounds for the sampling of graph signals. ICASSP (2017)
Luiz F. O. Chamon, Alejandro Ribeiro
Greedy Sampling of Graph Signals. CoRR (2017)
Luiz F. O. Chamon, Alejandro Ribeiro
Finite-precision effects on graph filters. GlobalSIP (2017)
Luiz F. O. Chamon, Alejandro Ribeiro
Approximate Supermodularity Bounds for Experimental Design. CoRR (2017)
Luiz F. O. Chamon, Alejandro Ribeiro
Approximate Supermodularity Bounds for Experimental Design. NIPS (2017)
Luiz F. O. Chamon, Cássio Guimarães Lopes
Combinations of Adaptive Filters with Coefficients Feedback. CoRR (2016)
Luiz F. O. Chamon, Alejandro Ribeiro
Near-optimality of greedy set selection in the sampling of graph signals. GlobalSIP (2016)
Cássio Guimarães Lopes, Luiz F. O. Chamon, Vítor H. Nascimento
Towards spatially universal adaptive diffusion networks. GlobalSIP (2014)
Luiz F. O. Chamon, Cássio Guimarães Lopes
There's plenty of room at the bottom: Incremental combinations of sign-error LMS filters. ICASSP (2014)
Luiz F. O. Chamon, Cássio Guimarães Lopes
Transient performance of an incremental combination of LMS filters. EUSIPCO (2013)
Luiz F. O. Chamon, Wilder Bezerra Lopes, Cássio Guimarães Lopes
Combination of adaptive filters with coefficients feedback. ICASSP (2012)
Luiz F. O. Chamon, Humberto F. Ferro, Cássio Guimarães Lopes
A data reusage algorithm based on incremental combination of LMS filters. ACSCC (2012)
Luiz F. O. Chamon, Cássio Guimarães Lopes
Combination of adaptive filters for relative navigation. EUSIPCO (2011)