1.1k citations · 1.2k across the 27 of their papers we have counts for
3 papers · 1 filter
Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov, Gleb Gusev
Stochastic Gradient Boosting (SGB) is a widely used approach to regularization of boosting models based on decision trees. It was shown that, in many cases, random sampling at each…
Latent Distribution Assumption for Unbiased and Consistent Consensus Modelling
Valentina Fedorova, Gleb Gusev, Pavel Serdyukov
We study the problem of aggregation noisy labels. Usually, it is solved by proposing a stochastic model for the process of generating noisy labels and then estimating the model par…
Aggregation of pairwise comparisons with reduction of biases
Nadezhda Bugakova, Valentina Fedorova, Gleb Gusev +1
We study the problem of ranking from crowdsourced pairwise comparisons. Answers to pairwise tasks are known to be affected by the position of items on the screen, however, previous…