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Deviation inequalities for stochastic approximation by averaging
We introduce a class of Markov chains, that contains the model of stochastic approximation by averaging and non-averaging.
Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising
Following the pioneering works of Rudin, Osher and Fatemi on total variation (TV) and of Buades, Coll and Morel on non-local means (NL-means), the last decade has seen a large number of denoising methods mixing these two approaches, starting with the nonlocal total variation (NLTV) model.
Exponential inequalities for nonstationary Markov Chains
In this paper, we extend the basic tools of Dedecker and Fan (2015) to nonstationary Markov chains.
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