Search Results - "BAZERQUE, ANDRÉS"

Distributed Sparse Linear Regression by Mateos, Gonzalo, Bazerque, Juan Andrés, Giannakis, Georgios B

“…The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear…”
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Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios by Bazerque, Juan-Andrés, Giannakis, Georgios B.

“…Scheduling spectrum access and allocating power and rate resources are tasks affecting critically the performance of wireless cognitive radio (CR) networks…”
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Group-Lasso on Splines for Spectrum Cartography by Bazerque, J. A., Mateos, G., Giannakis, G. B.

“…The unceasing demand for continuous situational awareness calls for innovative and large-scale signal processing algorithms, complemented by collaborative and…”
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Inference of gene regulatory networks with sparse structural equation models exploiting genetic perturbations by Cai, Xiaodong, Bazerque, Juan Andrés, Giannakis, Georgios B

“…Integrating genetic perturbations with gene expression data not only improves accuracy of regulatory network topology inference, but also enables learning of…”
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Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation by Bazerque, Juan Andres, Mateos, Gonzalo, Giannakis, Georgios B.

“…A novel regularizer of the PARAFAC decomposition factors capturing the tensor's rank is proposed in this paper, as the key enabler for completion of three-way…”
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Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers by Dall’Anese, Emiliano, Bazerque, Juan Andrés, Giannakis, Georgios B.

“…To account for variations in the frequency, time, and space dimensions, dynamic re-use of licensed bands under the cognitive radio (CR) paradigm calls for…”
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Multi-Task Bias-Variance Trade-Off Through Functional Constraints by Cervino, Juan, Bazerque, Juan Andres, Calvo-Fullana, Miguel, Ribeiro, Alejandro

“…Multi-task learning aims to acquire a set of functions, either regressors or classifiers, that perform well for diverse tasks. At its core, the idea behind…”
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Online Adaptive Estimation of Sparse Signals: Where RLS Meets the $\ell_1$-Norm by Angelosante, Daniele, Bazerque, Juan Andrés, Giannakis, Georgios B.

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Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces by Paternain, Santiago, Bazerque, Juan Andres, Small, Austin, Ribeiro, Alejandro

“…Reinforcement learning consists of finding policies that maximize an expected cumulative long-term reward in a Markov decision process with unknown transition…”
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Learning to Act Safely With Limited Exposure and Almost Sure Certainty by Castellano, Agustin, Min, Hancheng, Bazerque, Juan Andres, Mallada, Enrique

“…This paper puts forward the concept that learning to take safe actions in unknown environments, even with probability one guarantees, can be achieved without…”
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Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes by Paternain, Santiago, Bazerque, Juan Andres, Ribeiro, Alejandro

“…Reinforcement learning aims to find policies that maximize an expected cumulative reward in Markov decision processes with unknown transition probabilities…”
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Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning by Cervino, Juan, Bazerque, Juan Andres, Calvo-Fullana, Miguel, Ribeiro, Alejandro

“…Reinforcement learning is a framework to optimize an agent's policy using rewards that are revealed by the system as a response to an action. In its standard…”
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Learning Safety Critics via a Non-Contractive Binary Bellman Operator by Castellano, Agustin, Min, Hancheng, Bazerque, Juan Andres, Mallada, Enrique

“…The inability to naturally enforce safety in Reinforcement Learning (RL), with limited failures, is a core challenge impeding its use in real-world…”
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Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity by Bazerque, J.A., Giannakis, G.B.

“…A cooperative approach to the sensing task of wireless cognitive radio (CR) networks is introduced based on a basis expansion model of the power spectral…”
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Spline-based spectrum cartography for cognitive radios by Mateos, Gonzalo, Bazerque, Juan-Andres, Giannakis, Georgios B

“…A cooperative approach to the sensing task of wireless cognitive radio (CR) networks is introduced based on a spatial model of the power spectrum density…”
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A Networked Multiagent System for Mobile Wireless Infrastructure on Demand by Calvo-Fullana, Miguel, Gerasimenko, Mikhail, Mox, Daniel, Agorio, Leopoldo, Castillo, Mariana del, Kumar, Vijay, Ribeiro, Alejandro, Bazerque, Juan Andres

“…Despite the prevalence of wireless connectivity in urban areas around the globe, there remain numerous and diverse situations where connectivity is…”
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TALLANDO DESDE LO ALTO: UN SITIO DE EXPLOTACIÓN DE MATERIALES LÍTICOS DE LOS GRUPOS CAZADORES-RECOLECTORES DE LA ISLA GRANDE DE TIERRA DEL FUEGO by ALVAREZ, MYRIAN, PAL, NÉLIDA, SALVATELLI, LORENA, BRIZ i GODINO, IVAN, ZANGRANDO, FRANCISCO A, BAZERQUE, ANDRÉS, DE ANGELIS, HERNÁN, FIORE, DÁNAE

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Multi-task Supervised Learning via Cross-learning by Cervino, Juan, Bazerque, Juan Andres, Calvo-Fullana, Miguel, Ribeiro, Alejandro

“…In this paper we consider a problem known as multi-task learning, consisting of fitting a set of classifier or regression functions intended for solving…”
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Combined learning and optimal power flow for storage dispatch in grids with renewables by Porteiro, Rodrigo, Paganini, Fernando, Bazerque, Juan Andres

“…We propose an optimization and learning technique for controlling energy storage in power systems with renewables. A reinforcement learning (RL) approach is…”
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Control of networked systems in the graph-frequency domain by Bazerque, Juan Andres, Monzon, Pablo

“…This paper studies the stability and control of networked systems from the perspective of the new field of signal processing over graphs. Specifically, we…”
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