Calvo-Fullana, M., Gerasimenko, M., Mox, D., Agorio, L., del Castillo, M., Kumar, V., Ribeiro, A., & Bazerque, J.A. (2024). A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. IEEE TRANSACTIONS ON ROBOTICS, 40, 4598-4614.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TRO.2024.3463493.
Castellano, A., Min, H., Bazerque, J.A., & Mallada, E. (2023). Learning to Act Safely With Limited Exposure and Almost Sure Certainty. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 68(5), 2979-2994.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TAC.2023.3240925.
Paternain, S., Bazerque, J.A., & Ribeiro, A. (2022). Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 67(9), 4467-4482.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TAC.2022.3163085.
Cervino, J., Bazerque, J.A., Calvo-Fullana, M., & Ribeiro, A. (2021). Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 69, 5947-5962.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2021.3122303.
Paternain, S., Bazerque, J.A., Small, A., & Ribeiro, A. (2021). Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 66(8), 3429-3444.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TAC.2020.3029317.
Nesmachnow, S., Iturriaga, S., Muraña, J., de Oca, S.M., Belcredi, G., Monzón, P., Belzarena, P., & Bazerque, J. (2019). Demand Response and Ancillary Services for Supercomputing and Datacenters. In Supercomputing. 1151, (pp. 203-217).Springer Nature. doi: 10.1007/978-3-030-38043-4_17.
Bazerque, J.A., & Giannakis, G.B. (2013). Nonparametric Basis Pursuit via Sparse Kernel-Based Learning. IEEE SIGNAL PROCESSING MAGAZINE, 30(4), 112-125.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/MSP.2013.2253354.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2013). Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 61(22), 5689-5703.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2013.2278516.
Cai, X., Bazerque, J.A., & Giannakis, G.B. (2013). Inference of gene regulatory networks with sparse structural equation models exploiting genetic perturbations. In Miyano, S. (Ed.). PLoS Comput Biol, 9(5), e1003068.Public Library of Science (PLoS). doi: 10.1371/journal.pcbi.1003068.
Dall’Anese, E., Bazerque, J.A., & Giannakis, G.B. (2012). Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers. Physical Communication, 5(2), 161-172.Elsevier. doi: 10.1016/j.phycom.2011.07.005.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2011). Group-Lasso on Splines for Spectrum Cartography. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 59(10), 4648-4663.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2011.2160858.
Angelosante, D., Bazerque, J.A., & Giannakis, G.B. (2010). Online Adaptive Estimation of Sparse Signals: Where RLS Meets the l1-Norm. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 58(7), 3436-3447.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2010.2046897.
Bazerque, J.A., & Giannakis, G.B. (2010). Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 58(3), 1847-1862.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2009.2038417.
Mateos, G., Bazerque, J.A., & Giannakis, G.B. (2010). Distributed Sparse Linear Regression. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 58(10), 5262-5276.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2010.2055862.
Bazerque, J.A., & Giannakis, G.B. (2008). Distributed scheduling and resource allocation for cognitive OFDMA radios. MOBILE NETWORKS & APPLICATIONS, 13(5), 452-462.Springer Nature. doi: 10.1007/s11036-008-0083-z.
Castellano, A., Bazerque, J., & Mallada, E. (2021). Learning to be safe, in finite time. In 2021 American Control Conference (ACC), 00, (pp. 909-916).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/acc50511.2021.9482829.
Castellano, A., Bazerque, J., & Mallada, E. (2021). Model-free safe policy learning via hard action barrier functions. In 2021 55th Annual Conference on Information Sciences and Systems (CISS), (p. 1).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ciss50987.2021.9400210.
Cerviño, J., Bazerque, J.A., Calvo-Fullana, M., & Ribeiro, A. (2021). Multi-task Supervised Learning via Cross-learning. In 2021 29th European Signal Processing Conference (EUSIPCO), 00, (pp. 1381-1385).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/eusipco54536.2021.9615939.
Castellano, A., & Bazerque, J.A. (2020). Learning the operation of energy storage systems from real trajectories of demand and renewables. In 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 00, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isgt45199.2020.9087648.
Castellano, A., Martínez, C., Monzón, P., Bazerque, J.A., Ferragut, A., & Paganini, F. (2020). Quadratic approximate dynamic programming for scheduling water resources: a case study. In 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), 00, (pp. 1-6).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tdla47668.2020.9326171.
Cervino, J., Bazerque, J.A., Calvo-Fullana, M., & Ribeiro, A. (2019). Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. In Proceedings of the 2010 American Control Conference, (pp. 4840-4846).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/acc.2019.8814419.
Paternain, S., Bazerque, J.A., Small, A., & Ribeiro, A. (2019). Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. In 2019 IEEE 58th Conference on Decision and Control (CDC), 00, (pp. 7454-7461).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/cdc40024.2019.9029198.
Bazerque, J.A. (2018). Stochastic Optimization of Power Systems with Risk Constraints And Sparsely Distributed Storage. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 00, (pp. 3824-3828).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2018.8461544.
Bazerque, Juan Andres, Monzon, Pablo, & Giusto, Alvaro. (2018). Online prediction of power system trajectories from phasor measurement unit (PMU) data. In Procedings do XXII Congresso Brasileiro de Autom�tica.SWGE Sistemas. doi: 10.20906/cps/cba2018-0324.
Paternain, S., Bazerque, J.A., Small, A., & Ribeiro, A. (2018). Learning Policies for Markov Decision Processes in Continuous Spaces. In 2018 IEEE Conference on Decision and Control (CDC), 00, (pp. 4751-4758).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/cdc.2018.8619719.
Bazerque, J.A., & Monzón, P. (2017). Control of Networked Systems in the Graph-Frequency Domain. In 2017 51st Asilomar Conference on Signals, Systems, and Computers, (pp. 1444-1448).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/acssc.2017.8335594.
Bazerque, J.A., & Bevc, A. (2016). Robust Coordinated Time for Power Substation Networks via $\ell_{1}$-Norm Regularization. In 2016 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS), (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ispcs.2016.7579500.
Bazerque, J.A., Monzón, P., Pena, P., & Giusto, A. (2015). Online Prediction of Power System Trajectories from Noisy Data by Penalized Least-Squares Minimization†. In 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), (pp. 497-502).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isgt-la.2015.7381205.
Bazerque, J.A., Ribeiro, U., & Costa, J. (2015). Synchronization of Phasor Measurement Units and its Error Propagation to State Estimators. In 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), (pp. 508-513).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isgt-la.2015.7381207.
Bazerque, J.A., Baingana, B., & Giannakis, G.B. (2013). Identifiability of Sparse Structural Equation Models for Directed and Cyclic Networks††Work in this paper was supported by the NIH Grant 1R01GM104975-0. In 2013 IEEE Global Conference on Signal and Information Processing, (pp. 839-842).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/globalsip.2013.6737022.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2013). INFERENCE OF POISSON COUNT PROCESSES USING LOW-RANK TENSOR DATA. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, (pp. 5989-5993).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2013.6638814.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2012). NONPARAMETRIC LOW-RANK TENSOR IMPUTATION. In 2012 IEEE Statistical Signal Processing Workshop (SSP), (pp. 876-880).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ssp.2012.6319847.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2011). Basis Pursuit for Spectrum Cartography**This research was supported in part by National Science Foundation (NSF) under the Grants CNS-0831673 and CNS-0831853. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (pp. 2992-2995).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2011.5946287.
Cai, X., Bazerque, J.A., & Giannakis, G.B. (2011). Gene Network Inference via Sparse Structural Equation Modeling with Genetic Perturbations. In 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), (pp. 66-69).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/gensips.2011.6169445.
Dall'Anese, E., Bazerque, J.A., Zhu, H., & Giannakis, G.B. (2011). GROUP SPARSE TOTAL LEAST-SQUARES FOR COGNITIVE SPECTRUM SENSING. In 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, (pp. 96-100).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/spawc.2011.5990487.
Mateos, G., Bazerque, J.A., & Giannakis, G.B. (2011). Parallelizable Algorithms for the Selection of Grouped Variables* *Work in this paper was supported by the NSF grants CCF-0830480 and ECCS-0824007. In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), (pp. 295-300).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/dsp-spe.2011.5739228.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2010). DISTRIBUTED LASSO FOR IN-NETWORK LINEAR REGRESSION **Work in this paper was supported by the NSF grants CCF-0830480 and ECCS-0824007; and also through collaborative participation in the Communications and Networks Consortium sponsored by the U. S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19–01-2–0011. The U. S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, (pp. 2978-2981).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2010.5496140.
Angelosante, D., Bazerque, J.A., & Giannakis, G.B. (2009). ONLINE COORDINATE DESCENT FOR ADAPTIVE ESTIMATION OF SPARSE SIGNALS. In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, (pp. 369-372).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ssp.2009.5278561.
Mateos, G., Bazerque, J.A., & Georgios, B.G. (2009). Spline-based Spectrum Cartography for Cognitive Radios. In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, (pp. 1025-1029).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/acssc.2009.5470044.
Bazerque, J.A., & Giannakis, G.B. (2008). Distributed Spectrum Sensing for Cognitive Radios by Exploiting Sparsity. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, (pp. 1588-1592).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/acssc.2008.5074690.
Bazerque, J.A., & Giannakis, G.B. (2007). Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios. In 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, (pp. 343-350).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/crowncom.2007.4549822.
Bazerque, J., Ciambelli, J., Lafon, S., & Randall, G. (2003). Automatic dark fibers detection in wool tops. In PROGRESS IN PATTERN RECOGNITION, SPEECH AND IMAGE ANALYSIS, 2905, (pp. 367-374).Springer Nature. doi: 10.1007/978-3-540-24586-5_45.
Giannakis, G., Bazerque Giusto, J., & Mateos, G. Non-parametric power spectral density (PSD) map construction. 9,191,831.
Giannakis, G., Dall'Anesse, E., Bazerque Giusto, J., Zhu, H., & Mateos, G. Robust parametric power spectral density (PSD) construction. 9,363,679.