From the 1 of 976 papers with an AI index.
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5 papers · 2 filters
A Geometrical Approach to Iterative Isotone Regression
Arnaud Guyader, Nicolas Jégou, Alexander B. Németh +1
In the present paper, we propose and analyze a novel method for estimating a univariate regression function of bounded variation. The underpinning idea is to combine two classical…
Sequentially interacting Markov chain Monte Carlo methods
Anthony Brockwell, Pierre Del Moral, Arnaud Doucet
Sequential Monte Carlo (SMC) is a methodology for sampling approximately from a sequence of probability distributions of increasing dimension and estimating their normalizing const…
A note on extreme values and kernel estimators of sample boundaries
Stéphane Girard, Pierre Jacob
In a previous paper, we studied a kernel estimate of the upper edge of a two-dimensional bounded set, based upon the extreme values of a Poisson point process. The initial paper "G…
Minimax Number of Strata for Online Stratified Sampling given Noisy Samples
Alexandra Carpentier, Rémi Munos
We consider the problem of online stratified sampling for Monte Carlo integration of a function given a finite budget of noisy evaluations to the function. More precisely we fo…
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Rémi Munos
We consider a linear stochastic bandit problem where the dimension of the unknown parameter is larger than the sampling budget . In such cases, it is in general impossib…