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20042026
most citedAssessing and tuning brain decoders: cross-validation, caveats, and guidelines

887 citations

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Showing 2016 · stat.MLShow all

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stat.ML2016★ 6 cited

Linear Thompson Sampling Revisited

Marc Abeille, Alessandro Lazaric

We derive an alternative proof for the regret of Thompson sampling (\ts) in the stochastic linear bandit setting. While we obtain a regret bound of order $\widetilde{O}(d^{3/2}\sqr…

stat.ML2016★ 887 cited

Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

Gaël Varoquaux, Pradeep Reddy Raamana, Denis Engemann +3

Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its predictive power. Such evaluation is achieved via cross-validation, a method also used t…