10 citations · 23 across the 5 of their papers we have counts for
5 papers
Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation
Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy +7
The objective of Vertical Federated Learning (VFL) is to collectively train a model using features available on different devices while sharing the same users. This paper focuses o…
ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution
Alexander Chervov, Anton Vakhrushev, Sergei Fironov +1
Predicting protein properties, functions and localizations are important tasks in bioinformatics. Recent progress in machine learning offers an opportunities for improving existing…
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
Abdulaziz Samra, Evgeney Frolov, Alexey Vasilev +2
Data sparsity has been one of the long-standing problems for recommender systems. One of the solutions to mitigate this issue is to exploit knowledge available in other source doma…
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
Leonid Iosipoi, Anton Vakhrushev
Gradient Boosted Decision Tree (GBDT) is a widely-used machine learning algorithm that has been shown to achieve state-of-the-art results on many standard data science problems. We…
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko +3
We present an AutoML system called LightAutoML developed for a large European financial services company and its ecosystem satisfying the set of idiosyncratic requirements that thi…