Follow the cutting-edge research in computer science
At Yandex Research, we advance progress in science and develop technologies for a better tomorrow.
Blog
See all- Embeddings for numerical features in tabular deep learningResearchDecember 2, 2022
- Graph-based nearest neighbor searchResearchOctober 12, 2022
Publications
See allDecentralized Local Stochastic Extra-Gradient for Variational Inequalities
NeurIPS,
2022Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
NeurIPS,
2022Optimal Algorithms for Decentralized Stochastic Variational Inequalities
NeurIPS,
2022Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
NeurIPS,
2022
Research Areas
See allComputer vision
Yandex Research team regularly contributes to the computer vision research community, mostly in the field of image retrieval and generative modelling.32 publications2 postsNatural language processing
Language is one of the key forms of communication. We study methods of language representation and understanding to simplify human-computer interactions.21 publication1 postLarge-scale machine learning
Today, training most powerful models often takes significant resources. Our research aims to make large-scale training more efficient and accessible to the entire machine learning community.6 publicationsMachine learning theory
We study various aspects related to theoretical understanding of ML models and algorithms.22 publications2 postsGraph machine learning
Graphs are a natural way to represent data from various domains such as social networks, molecules, text, code, etc. We develop and analyze algorithms for graph-structured data.10 publications1 postProbabilistic machine learning
Probabilistic machine learning describes methods which enable reasoning and inference over unknown quantities. Commonly used in generative modelling, regression and uncertainty quantification.6 publications