Research at Yandex

Keep up with the advances in machine learning, natural language, data analysis and artificial intelligence. View publications by Yandex researchers. Read the latest news and learn about upcoming events and seminars.

News
Yandex at ICML 2017: Variational Dropout Sparsifies Deep Neural Networks

Last week, Sydney, Australia hosted 34th International Conference on Machine Learning (ICML 2017), one of a few major machine learning conferences. Yandex team presented the result of the joint research project between Yandex,  Skolkovo Institute of Science and Technology and National Research University Higher School of Economics. In our paper "Variational Dropout Sparsifies Deep Neural Networks" (https://arxiv.org/abs/1701.05369), we introduced Sparse Variational Dropout, a simple yet effective technique for sparsification of neural networks.

14 August
How profitable to sell a series of goods to the same buyer?

Recently, at the conference WWW'2017 (26th International World Wide Web Conference), Alexey Drutsa has presented the paper "Horizon-Independent Optimal Pricing in Repeated Auctions with Truthful and Strategic Buyers". We will briefly explain the core of this study.

19 April
Sensitivity Improvement of a Linear Combination of Metrics in A/B Tests

In early 2016, at the conference WSDM'2017 (The 10th ACM International Conference on Web Search and Data Mining), Eugene Kharitonov, Alexey Drutsa, and Pavel Serdyukov have presented the paper "Learning Sensitive Combinations of A/B Test Metrics". We will  briefly explain its essence.

27 February
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