2012:
A. Carpentier. De l’échantillonnage optimal en grande et petite dimension. PhD Thesis.
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A. Carpentier and R. Munos. Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions (detailed version). Technical Report arXiv:0575985 2012.
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O. A. Maillard, and A. Carpentier. Online allocation and homogeneous partitioning for piecewise constant mean-approximation (detailed version). Technical Report arXiv:1205.4094 2012.
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A. Carpentier and R. Munos. Minimax Number of Strata for Online Stratified Sampling given Noisy Samples (detailed version). Technical Report inria-00698517, INRIA, 2012.
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A. Carpentier and R. Munos. Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit (detailed version). Technical Report arXiv:1205.4094 2012.
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2011:
A. Carpentier, R. Munos and A. Antos. Minimax strategy for Stratified Sampling for Monte Carlo. Technical Report inria-00636924, INRIA, 2011.
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A. Carpentier, A. Lazaric, M. Ghavamzadeh, R. Munos and P. Auer. Upper Confidence Bounds Algorithms for Active Learning in Multi-Armed Bandits (detailed version). Technical Report inria-00659696, INRIA, 2011.
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