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Successive Concave Sparsity Approximation: Near-Oracle Performance in a Wide Range of Sparsity Levels., , , , and . CoRR, (2015)Alternating Strategies Are Good For Low-Rank Matrix Reconstruction., , , , and . CoRR, (2014)Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach., , , and . CoRR, (2017)Bayesian Learning for Low-Rank matrix reconstruction., , , and . CoRR, (2015)Generation of amplitude constrained signals with a prescribed spectrum., , and . Autom., 48 (1): 153-158 (2012)Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction., , , and . IEEE Trans. Signal Process., 64 (20): 5327-5339 (2016)Frequency smoothing gains in preamble-based channel estimation for multicarrier systems., , , and . Signal Process., 93 (9): 2777-2782 (2013)Decentralized diffusion-based learning under non-parametric limited prior knowledge., , and . Eur. J. Control, (January 2024)Sparse Estimation of Polynomial and Rational Dynamical Models., , and . IEEE Trans. Autom. Control., 59 (11): 2962-2977 (2014)The cost of complexity in system identification: The Output Error case., , , and . Autom., 47 (9): 1938-1948 (2011)