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ORCIDJuan Andrés Bazerque
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2020 – today
- 2025
[i18]Sergio Rozada, Santiago Paternain, Juan Andrés Bazerque, Antonio G. Marques:
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. CoRR abs/2501.10529 (2025)- [i17]Leopoldo Agorio, Sean Van Alen, Santiago Paternain, Miguel Calvo-Fullana, Juan Andrés Bazerque:
Cooperative Multi-Agent Assignment over Stochastic Graphs via Constrained Reinforcement Learning. CoRR abs/2502.20462 (2025) - 2024
- [j14]Miguel Calvo-Fullana
, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque:
A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. IEEE Trans. Robotics 40: 4598-4614 (2024) - [c24]Sergio Rozada, Santiago Paternain, Juan Andrés Bazerque, Antonio G. Marques:
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. IEEECONF 2024: 629-633 - [c23]Rodrigo Porteiro, Fernando Paganini, Juan Andrés Bazerque:
Combined learning and optimal power flow for storage dispatch in grids with renewables. ISGT 2024: 1-5 - [c22]Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque:
Multi-agent assignment via state augmented reinforcement learning. L4DC 2024: 1202-1213 - [i16]Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Learning safety critics via a non-contractive binary bellman operator. CoRR abs/2401.12849 (2024) - [i15]Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque:
Multi-agent assignment via state augmented reinforcement learning. CoRR abs/2406.01782 (2024) - [i14]Alejandro Parada-Mayorga, Leopoldo Agorio, Alejandro Ribeiro, Juan Andrés Bazerque:
Convolutional Filtering with RKHS Algebras. CoRR abs/2411.01341 (2024) - 2023
- [j13]Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Learning to Act Safely With Limited Exposure and Almost Sure Certainty. IEEE Trans. Autom. Control. 68(5): 2979-2994 (2023) - [c21]Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Learning Safety Critics via a Non-Contractive Binary Bellman Operator. ACSSC 2023: 814-821 - [c20]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP 2023: 1-5 - [i13]Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque:
A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand. CoRR abs/2306.08737 (2023) - 2022
- [j12]Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro:
Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. IEEE Trans. Autom. Control. 67(9): 4467-4482 (2022) - [c19]Agustin Castellano, Hancheng Min, Enrique Mallada, Juan Andrés Bazerque:
Reinforcement Learning with Almost Sure Constraints. L4DC 2022: 559-570 - [i12]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR abs/2210.15573 (2022) - 2021
- [j11]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. IEEE Trans. Autom. Control. 66(8): 3429-3444 (2021) - [j10]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE Trans. Signal Process. 69: 5947-5962 (2021) - [c18]Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada:
Learning to be safe, in finite time. ACC 2021: 909-916 - [c17]Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada:
Model-free safe policy learning via hard action barrier functions. CISS 2021: 1 - [c16]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. EUSIPCO 2021: 1381-1385 - [i11]Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Learning to Act Safely with Limited Exposure and Almost Sure Certainty. CoRR abs/2105.08748 (2021) - [i10]Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Reinforcement Learning with Almost Sure Constraints. CoRR abs/2112.05198 (2021) - 2020
- [c15]Agustin Castellano, Juan Andrés Bazerque:
Learning the operation of energy storage systems from real trajectories of demand and renewables. ISGT 2020: 1-5 - [i9]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR abs/2008.11895 (2020) - [i8]Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada:
Learning to be safe, in finite time. CoRR abs/2010.00417 (2020) - [i7]Agustin Castellano, Camila Martínez, Pablo Monzón, Juan Andrés Bazerque, Andrés Ferragut, Fernando Paganini:
Quadratic approximate dynamic programming for scheduling water resources: a case study. CoRR abs/2010.02122 (2020) - [i6]Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro:
Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes. CoRR abs/2010.08443 (2020) - [i5]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. CoRR abs/2010.12993 (2020) - [i4]Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada:
Assured RL: Reinforcement Learning with Almost Sure Constraints. CoRR abs/2012.13036 (2020)
2010 – 2019
- 2019
- [c14]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC 2019: 4840-4846 - [c13]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. CDC 2019: 7454-7461 - [c12]Sergio Nesmachnow, Santiago Iturriaga, Jonathan Muraña, Sebastian Montes de Oca, Gonzalo Belcredi, Pablo Monzón, Pablo Belzarena, Juan Andrés Bazerque:
Demand Response and Ancillary Services for Supercomputing and Datacenters. ISUM 2019: 203-217 - 2018
- [c11]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Learning Policies for Markov Decision Processes in Continuous Spaces. CDC 2018: 4751-4758 - [c10]Juan Andrés Bazerque:
Stochastic Optimization of Power Systems with Risk Constraints And Sparsely Distributed Storage. ICASSP 2018: 3824-3828 - [i3]Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. CoRR abs/1807.11274 (2018) - 2017
- [c9]Juan Andrés Bazerque, Pablo Monzón:
Control of networked systems in the graph-frequency domain. ACSSC 2017: 1444-1448 - 2013
- [j9]Xiaodong Cai, Juan Andrés Bazerque, Georgios B. Giannakis:
Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations. PLoS Comput. Biol. 9(5) (2013) - [j8]Juan Andrés Bazerque, Georgios B. Giannakis:
Nonparametric Basis Pursuit via Sparse Kernel-Based Learning: A Unifying View with Advances in Blind Methods. IEEE Signal Process. Mag. 30(4): 112-125 (2013) - [j7]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE Trans. Signal Process. 61(22): 5689-5703 (2013) - [c8]Juan Andrés Bazerque, Brian Baingana, Georgios B. Giannakis:
Identifiability of sparse structural equation models for directed and cyclic networks. GlobalSIP 2013: 839-842 - [c7]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Inference of Poisson count processes using low-rank tensor data. ICASSP 2013: 5989-5993 - [i2]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Rank regularization and Bayesian inference for tensor completion and extrapolation. CoRR abs/1301.7619 (2013) - [i1]Juan Andrés Bazerque, Georgios B. Giannakis:
Nonparametric Basis Pursuit via Sparse Kernel-based Learning. CoRR abs/1302.5449 (2013) - 2012
- [j6]Emiliano Dall'Anese, Juan Andrés Bazerque, Georgios B. Giannakis:
Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers. Phys. Commun. 5(2): 161-172 (2012) - [c6]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Nonparametric low-rank tensor imputation. SSP 2012: 876-879 - 2011
- [j5]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Group-Lasso on Splines for Spectrum Cartography. IEEE Trans. Signal Process. 59(10): 4648-4663 (2011) - [c5]Xiaodong Cai, Juan Andrés Bazerque, Georgios B. Giannakis:
Gene network inference via sparse structural equation modeling with genetic perturbations. GENSiPS 2011: 66-69 - [c4]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Basis pursuit for spectrum cartography. ICASSP 2011: 2992-2995 - 2010
- [j4]Juan Andrés Bazerque, Georgios B. Giannakis:
Distributed spectrum sensing for cognitive radio networks by exploiting sparsity. IEEE Trans. Signal Process. 58(3): 1847-1862 (2010) - [j3]Daniele Angelosante, Juan Andrés Bazerque, Georgios B. Giannakis:
Online adaptive estimation of sparse signals: where RLS meets the l1-norm. IEEE Trans. Signal Process. 58(7): 3436-3447 (2010) - [j2]Gonzalo Mateos, Juan Andrés Bazerque, Georgios B. Giannakis:
Distributed sparse linear regression. IEEE Trans. Signal Process. 58(10): 5262-5276 (2010) - [c3]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Distributed Lasso for in-network linear regression. ICASSP 2010: 2978-2981
2000 – 2009
- 2008
- [j1]Juan Andrés Bazerque, Georgios B. Giannakis:
Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios. Mob. Networks Appl. 13(5): 452-462 (2008) - [c2]Juan Andrés Bazerque, Georgios B. Giannakis:
Distributed spectrum sensing for cognitive radios by exploiting sparsity. ACSCC 2008: 1588-1592 - 2007
- [c1]Juan Andrés Bazerque, Georgios B. Giannakis:
Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios. CrownCom 2007: 343-350
Coauthor Index
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