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Online sequential Monte Carlo smoother for partially observed diffusion processes., , and . EURASIP J. Adv. Signal Process., (2018)A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection., , , and . IEEE J. Sel. Top. Signal Process., 10 (2): 366-375 (2016)Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models., , and . IEEE Trans. Inf. Theory, 63 (8): 4758-4777 (2017)Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models., , and . EURASIP J. Adv. Signal Process., (2017)Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation., , , and . CoRR, (2024)Joint self-supervised blind denoising and noise estimation., , , , and . CoRR, (2021)New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem., , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 131-138. Springer, (2012)Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability., , , and . J. Appl. Probab., 54 (4): 1233-1260 (2017)Identifiability of discrete input-output hidden Markov models with external signals., , , and . Stat. Comput., 34 (1): 54 (February 2024)NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform., , , , , , , and . NeurIPS, page 17060-17071. (2021)