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 Communications in Computer and Information Science. (pp. 203-217).Springer International Publishing. 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. PLOS COMPUTATIONAL BIOLOGY, 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 BV. 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 Science and Business Media LLC. 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).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).IEEE. doi: 10.1109/ciss50987.2021.9400210.
Cervino, 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).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).IEEE. doi: 10.1109/isgt45199.2020.9087648.
Castellano, A., Martinez, C., Monzon, P., Andres Bazerque, J., 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).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 2019 American Control Conference (ACC).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).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).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 Proceedings XXII Congresso Brasileiro de Automática.SBA Sociedade Brasileira de Automática. doi: 10.20906/cps/cba2018-0324.
Paternain, S., Andres Bazerque, J., Small, A., & Ribeiro, A. (2018). Learning Policies for Markov Decision Processes in Continuous Spaces. In 2018 IEEE Conference on Decision and Control (CDC).IEEE. doi: 10.1109/cdc.2018.8619719.
Bazerque, J.A., & Monzon, P. (2017). Control of networked systems in the graph-frequency domain. In 2017 51st Asilomar Conference on Signals, Systems, and Computers.IEEE. doi: 10.1109/acssc.2017.8335594.
Bazerque, J.A., & Bevc, A. (2016). Robust coordinated time for power substation networks via ℓ<inf>1</inf>-norm regularization. In 2016 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS).IEEE. doi: 10.1109/ispcs.2016.7579500.
Bazerque, J.A., Monzon, 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).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).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. In 2013 IEEE Global Conference on Signal and Information Processing.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.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).IEEE. doi: 10.1109/ssp.2012.6319847.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2011). Basis pursuit for spectrum cartography. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).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).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.IEEE. doi: 10.1109/spawc.2011.5990487.
Mateos, G., Bazerque, J.A., & Giannakis, G.B. (2011). Parallelizable algorithms for the selection of grouped variables. In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).IEEE. doi: 10.1109/dsp-spe.2011.5739228.
Bazerque, J.A., Mateos, G., & Giannakis, G.B. (2010). Distributed Lasso for in-network linear regression. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.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.IEEE. doi: 10.1109/ssp.2009.5278561.
Mateos, G., Bazerque, J.A., & Giannakis, G.B. (2009). Spline-based spectrum cartography for cognitive radios. In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.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.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.IEEE. doi: 10.1109/crowncom.2007.4549822.
Bazerque, J., Ciambelli, J., Lafon, S., & Randall, G. (2003). Automatic dark fibres detection in wool tops. In PROGRESS IN PATTERN RECOGNITION, SPEECH AND IMAGE ANALYSIS, 2905, (pp. 367-374).Springer Berlin Heidelberg. 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.