Rejection Sampling is a fundamental Monte-Carlo method. It is used to sample from distributions admitting a probability density function which can be evaluated exactly at any given point, albeit at a high computational cost. However, without proper tuning, this technique implies a high rejection rate. Several methods have been explored to cope...
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2019 (v1)Conference paperUploaded on: December 4, 2022
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July 4, 2023 (v1)Publication
We derive both Azuma-Hoeffding and Burkholder-type inequalities for partial sums over a rectangulargrid of dimension $d$ of a random field satisfying a weak dependency assumption of projective type:the difference between the expectation of an element of the random field and its conditional expectationgiven the rest of the field at a distance...
Uploaded on: July 7, 2023 -
December 18, 2020 (v1)Publication
We study the stochastic multi-armed bandit problem in the case when the arm samples are dependent over time and generated from so-called weak $\cC$-mixing processes. We establish a $\cC-$Mix Improved UCB agorithm and provide both problem-dependent and independent regret analysis in two different scenarios. In the first, so-called fast-mixing...
Uploaded on: December 4, 2022 -
December 2008 (v1)Journal article
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and also the third most common cause of cancer-related death. HCC arises most frequently in males with cirrhosis, which is most often a consequence of chronic hepatitis infection (HBV and HCV) or alcohol abuse. To date, the only effective approaches for patients with HCC...
Uploaded on: December 3, 2022 -
September 2009 (v1)Journal article
Immune response failure during HCV infection has been associated with the activity of regulatory T cells. Hepatitis C-related cirrhosis is the main reason for liver transplantation. However, 80% of transplanted patients present an accelerated recurrence of the disease. This study assessed the involvement of regulatory T-cell subsets (CD4+CD25+...
Uploaded on: December 4, 2022