Research at Yandex

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".

We invite software engineers, designers, analysts, service or product managers — beginners, advanced specialists, and researchers — to join us at KDD 2018, which will take place in London from 19 to 23 of August, to attend our tutorial on "Online Evaluation for Effective Web Service Development"