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In this work we show how to resolve, at least partially, the curse of dimensionality of likelihood ratios (LRs) while using importance sampling (IS) to estimate the performance of high-dimensional Mon...
Experts are often called on to predict the performance of novices, but cognitive heuristics may interfere with experts' ability to capitalize on their superior knowledge hi predicting novice task pe...
Consider a random field of tensor product-type X (t), ~ E [ O l, l d, given by where ( A ( ~ ) i , 0 ~ 1 2 , is an orthonormal system in L, KO, 11 and (tklkENd are non-correlated random variables w...
We present the first tree-based regressorwhose convergence rate depends only on the intrinsic dimension of the data, namely its Assouad dimension. The regressor uses the RPtree partitioning procedu...

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