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Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise.

, , , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2144-2203. PMLR, (2020)

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On a perturbation approach for the analysis of stochastic tracking algorithms., , and . ICASSP, page 1681-1684. IEEE, (1998)Non-parametric techniques for pitch-scale and time-scale modification of speech., and . Speech Commun., 16 (2): 175-205 (1995)MCMC design-based non-parametric regression for rare event. Application to nested risk computations., , and . Monte Carlo Methods Appl., 23 (1): 21-42 (2017)Detection of the glottal closure by jumps in the statistical properties of the speech signal., and . Speech Commun., 9 (5-6): 401-418 (1990)An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo., , and . Proc. IEEE, 95 (5): 899-924 (2007)Classification et sélection de caractéristiques de textures. Utilisation d'algorithmes automatiques supervisés de sélection d'attributs pour la classification d'images., and . Rev. d'Intelligence Artif., 19 (4-5): 633-659 (2005)Semi Dynamic Parameter Tuning for Optimized Opportunistic Spectrum Access., , , and . VTC Fall, page 1-5. IEEE, (2008)Méthodologie de sélection de caractéristiques pour la classification d'images satellitaires., and . CAP, page 107-108. PUG, (2005)Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics., , , and . CoRR, (2021)MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference., , , , , , and . CoRR, (2020)