| 2024 | ACSSC | A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. | Sergio Rozada, Santiago Paternain, Juan Andrs Bazerque, Antonio G. Marques |
| 2023 | ACSSC | Learning Safety Critics via a Non-Contractive Binary Bellman Operator. | Agustin Castellano, Hancheng Min, Juan Andrs Bazerque, Enrique Mallada |
| 2023 | ICASSP | Multi-Task Bias-Variance Trade-Off Through Functional Constraints. | Juan Cervio, Juan Andrs Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro |
| 2021 | CISS | Model-free safe policy learning via hard action barrier functions. | Agustin Castellano, Juan Andrs Bazerque, Enrique Mallada |
| 2018 | ICASSP | Stochastic Optimization of Power Systems with Risk Constraints And Sparsely Distributed Storage. | Juan Andrs Bazerque |
| 2017 | ACSSC | Control of networked systems in the graph-frequency domain. | Juan Andrs Bazerque, Pablo Monzn |
| 2013 | ICASSP | Inference of Poisson count processes using low-rank tensor data. | Juan Andrs Bazerque, Gonzalo Mateos, Georgios B. Giannakis |
| 2011 | ICASSP | Basis pursuit for spectrum cartography. | Juan Andrs Bazerque, Gonzalo Mateos, Georgios B. Giannakis |
| 2010 | ICASSP | Distributed Lasso for in-network linear regression. | Juan Andrs Bazerque, Gonzalo Mateos, Georgios B. Giannakis |
| 2008 | ACSSC | Distributed spectrum sensing for cognitive radios by exploiting sparsity. | Juan Andrs Bazerque, Georgios B. Giannakis |