Research at Yandex

Yandex.Toloka, our public crowdsourcing platform, has published five open datasets in order to support research in the areas of dialogue systems, crowdsourcing, and NLP.

On December, 6, on NeurIPS conference in Montreal, Yandex team presented the paper “CatBoost: unbiased boosting with categorical features”. This work introduces and studies two key algorithmic techniques of CatBoost, an open-source machine learning library developed by Yandex and used in its numerous services.

Yandex research team got two papers accepted to NeurIPS 2018: "CatBoost: unbiased boosting with categorical features" and "Non-metric Similarity Graphs for Maximum Inner Product Search".