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Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach., , , and . CoRR, (2017)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)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)Decentralized diffusion-based learning under non-parametric limited prior knowledge., , and . Eur. J. Control, (January 2024)Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller., , and . Autom., 47 (3): 578-583 (2011)A graph theoretical approach to input design for identification of nonlinear dynamical models., , and . Autom., (2015)Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems., , , and . Autom., (2020)