EW with Gaussian prior matches the optimal O(d log(Bn)) regret for online logistic regression at O(B^3 n^5) cost and converges geometrically to a truncated Gaussian vote in the large-B separable regime.
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Efficient Logistic Regression with Mixture of Sigmoids
EW with Gaussian prior matches the optimal O(d log(Bn)) regret for online logistic regression at O(B^3 n^5) cost and converges geometrically to a truncated Gaussian vote in the large-B separable regime.