output
20022026
most citedDeep Learning for Classification of Hyperspectral Data: A Comparative Review

687 citations

researchers with a paper here
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Showing 2017 · stat.MLShow all

3 papers · 2 filters

stat.ML2017★ 5 cited

Bayesian nonparametric Principal Component Analysis

Clément Elvira, Pierre Chainais, Nicolas Dobigeon

Principal component analysis (PCA) is very popular to perform dimension reduction. The selection of the number of significant components is essential but often based on some practi…

stat.ML2017★ 11 cited

Monte-Carlo Tree Search by Best Arm Identification

Emilie Kaufmann, Wouter Koolen

Recent advances in bandit tools and techniques for sequential learning are steadily enabling new applications and are promising the resolution of a range of challenging related pro…

stat.ML2017★ 30 cited

Thompson Sampling for Linear-Quadratic Control Problems

Marc Abeille, Alessandro Lazaric

We consider the exploration-exploitation tradeoff in linear quadratic (LQ) control problems, where the state dynamics is linear and the cost function is quadratic in states and con…