Luiz F. O. Chamon

92 papers A* 11C 3Misc 14Journal 47Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Lagrangian Framework for Safe Cooperative Reinforcement Learning. CDC Soham Das, Luiz F. O. Chamon, Santiago Paternain, Ceyhun Eksin
2025	J	`jnl`	Adaptive Symmetrization of the KL Divergence. CoRR Omri Ben-Dov, Luiz F. O. Chamon
2025	J	`jnl`	Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification. CoRR Alexander Tsigler, Luiz F. O. Chamon, Spencer Frei, Peter L. Bartlett
2025	J	`jnl`	Learning (Approximately) Equivariant Networks via Constrained Optimization. CoRR Andrei Manolache, Luiz F. O. Chamon, Mathias Niepert
2025	J	`jnl`	Learning with Statistical Equality Constraints. CoRR Aneesh Barthakur, Luiz F. O. Chamon
2025	A*	`conf`	Solving Differential Equations with Constrained Learning. ICLR Viggo Moro, Luiz F. O. Chamon
2025	J	`jnl`	The Lagrangian Method for Solving Constrained Markov Games. CoRR Soham Das, Santiago Paternain, Luiz F. O. Chamon, Ceyhun Eksin
2024	A*	`conf`	Constrained Sampling with Primal-Dual Langevin Monte Carlo. NeurIPS Luiz F. O. Chamon, Mohammad Reza Karimi Jaghargh, Anna Korba
2024	J	`jnl`	Constrained Sampling with Primal-Dual Langevin Monte Carlo. CoRR Luiz F. O. Chamon, Mohammad Reza Karimi, Anna Korba
2024	A*	`conf`	Near-Optimal Solutions of Constrained Learning Problems. ICLR Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
2024	J	`jnl`	Near-Optimal Solutions of Constrained Learning Problems. CoRR Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
2024	J	`jnl`	Solving Differential Equations with Constrained Learning. CoRR Viggo Moro, Luiz F. O. Chamon
2024	J	`jnl`	State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. IEEE Trans. Autom. Control. Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
2023	A*	`conf`	Automatic Data Augmentation via Invariance-Constrained Learning. ICML Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
2023	J	`jnl`	Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2023	J	`jnl`	Distributed Universal Adaptive Networks. IEEE Trans. Signal Process. Cássio Guimarães Lopes, Vítor Heloiz Nascimento, Luiz F. O. Chamon
2023	A*	`conf`	Learning Globally Smooth Functions on Manifolds. ICML Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro
2023	A*	`conf`	Resilient Constrained Learning. NeurIPS Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
2023	J	`jnl`	Resilient Constrained Learning. CoRR Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
2023	J	`jnl`	Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Trans. Autom. Control. Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
2023	J	`jnl`	Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2022	J	`jnl`	Approximately Supermodular Scheduling Subject to Matroid Constraints. IEEE Trans. Autom. Control. Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
2022	J	`jnl`	Automatic Data Augmentation via Invariance-Constrained Learning. CoRR Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
2022	J	`jnl`	Learning Globally Smooth Functions on Manifolds. CoRR Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro
2022	A*	`conf`	Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
2021	A*	`conf`	Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Approximate Supermodularity of Kalman Filter Sensor Selection. IEEE Trans. Autom. Control. Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2021	J	`jnl`	Constrained Learning with Non-Convex Losses. CoRR Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2021	J	`jnl`	Graphon Signal Processing. IEEE Trans. Signal Process. Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	C	`conf`	Source Seeking in Unknown Environments with Convex Obstacles. ACC Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
2021	J	`jnl`	State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
2021	C	`conf`	Towards Safe Continuing Task Reinforcement Learning. ACC Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
2021	J	`jnl`	Towards Safe Continuing Task Reinforcement Learning. CoRR Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
2021	J	`jnl`	Transferability Properties of Graph Neural Networks. CoRR Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	—	`conf`	Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Approximately Supermodular Scheduling Subject to Matroid Constraints. CoRR Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
2020	Misc	`conf`	Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. ICASSP Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2020	—	`conf`	Counterfactual Programming for Optimal Control. L4DC Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2020	J	`jnl`	Functional Nonlinear Sparse Models. IEEE Trans. Signal Process. Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2020	—	`conf`	Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	A*	`conf`	Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	A*	`conf`	Probably Approximately Correct Constrained Learning. NeurIPS Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Probably Approximately Correct Constrained Learning. CoRR Luiz F. O. Chamon, Alejandro Ribeiro
2020	—	`conf`	Resilient Control: Compromising to Adapt. CDC Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain, Alejandro Ribeiro
2020	—	`conf`	Risk-Constrained Linear-Quadratic Regulators. CDC Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas
2020	J	`jnl`	Risk-Constrained Linear-Quadratic Regulators. CoRR Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas
2020	J	`jnl`	Sparse Multiresolution Representations With Adaptive Kernels. IEEE Trans. Signal Process. Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2020	Misc	`conf`	The Empirical Duality Gap of Constrained Statistical Learning. ICASSP Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2020	Misc	`conf`	The Graphon Fourier Transform. ICASSP Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	The empirical duality gap of constrained statistical learning. CoRR Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
2020	J	`jnl`	Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. CoRR Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2019	J	`jnl`	Approximate Supermodularity of Kalman Filter Sensor Selection. CoRR Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2019	A*	`conf`	Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
2019	J	`jnl`	Constrained Reinforcement Learning Has Zero Duality Gap. CoRR Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
2019	Misc	`conf`	Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	Misc	`conf`	Learning Gaussian Processes with Bayesian Posterior Optimization. ACSSC Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2019	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	—	`conf`	Learning Safe Policies via Primal-Dual Methods. CDC Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
2019	—	`conf`	Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling. CDC Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
2019	C	`conf`	Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection. ACC Vinícius Lima Silva, Luiz F. O. Chamon, Alejandro Ribeiro
2019	J	`jnl`	Risk-Aware MMSE Estimation. CoRR Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2019	J	`jnl`	Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
2019	J	`jnl`	Source Seeking in Unknown Environments with Convex Obstacles. CoRR Bruno Augusto Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
2019	Misc	`conf`	Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. ICASSP Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2019	Misc	`conf`	Sparse Recovery over Nonlinear Dictionaries. ICASSP Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2019	J	`jnl`	Sparse multiresolution representations with adaptive kernels. CoRR Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2018	J	`jnl`	007: Democratically Finding The Cause of Packet Drops. CoRR Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred
2018	Misc	`conf`	007: Democratically Finding the Cause of Packet Drops. NSDI Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred
2018	J	`jnl`	Functional Nonlinear Sparse Models. CoRR Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2018	J	`jnl`	Greedy Sampling of Graph Signals. IEEE Trans. Signal Process. Luiz F. O. Chamon, Alejandro Ribeiro
2018	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. CoRR Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	Misc	`conf`	Locally Adaptive Kernel Estimation Using Sparse Functional Programming. ACSSC Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
2018	Misc	`conf`	Online Deep Learning in Wireless Communication Systems. ACSSC Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	Misc	`conf`	Strong Duality of Sparse Functional Optimization. ICASSP Luiz F. O. Chamon, Yonina C. Eldar, Alejandro Ribeiro
2017	—	`conf`	Approximate Supermodularity Bounds for Experimental Design. NIPS Luiz F. O. Chamon, Alejandro Ribeiro
2017	J	`jnl`	Approximate Supermodularity Bounds for Experimental Design. CoRR Luiz F. O. Chamon, Alejandro Ribeiro
2017	—	`conf`	Closing the Network Diagnostics Gap with Vigil. SIGCOMM Posters and Demos Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Harry Liu, Jitu Padhye, Geoff Outhred, Boon Thau Loo
2017	—	`conf`	Finite-precision effects on graph filters. GlobalSIP Luiz F. O. Chamon, Alejandro Ribeiro
2017	J	`jnl`	Greedy Sampling of Graph Signals. CoRR Luiz F. O. Chamon, Alejandro Ribeiro
2017	—	`conf`	The mean square error in Kalman filtering sensor selection is approximately supermodular. CDC Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
2017	Misc	`conf`	Universal bounds for the sampling of graph signals. ICASSP Luiz F. O. Chamon, Alejandro Ribeiro
2016	J	`jnl`	Combinations of Adaptive Filters with Coefficients Feedback. CoRR Luiz F. O. Chamon, Cássio Guimarães Lopes
2016	—	`conf`	Near-optimality of greedy set selection in the sampling of graph signals. GlobalSIP Luiz F. O. Chamon, Alejandro Ribeiro
2014	Misc	`conf`	There's plenty of room at the bottom: Incremental combinations of sign-error LMS filters. ICASSP Luiz F. O. Chamon, Cássio Guimarães Lopes
2014	—	`conf`	Towards spatially universal adaptive diffusion networks. GlobalSIP Cássio Guimarães Lopes, Luiz F. O. Chamon, Vítor H. Nascimento
2013	—	`conf`	Transient performance of an incremental combination of LMS filters. EUSIPCO Luiz F. O. Chamon, Cássio Guimarães Lopes
2012	—	`conf`	A data reusage algorithm based on incremental combination of LMS filters. ACSCC Luiz F. O. Chamon, Humberto F. Ferro, Cássio Guimarães Lopes
2012	Misc	`conf`	Combination of adaptive filters with coefficients feedback. ICASSP Luiz F. O. Chamon, Wilder Bezerra Lopes, Cássio Guimarães Lopes
2011	—	`conf`	Combination of adaptive filters for relative navigation. EUSIPCO Luiz F. O. Chamon, Cássio Guimarães Lopes