Alexander Grigorievskiy

According to our database, Alexander Grigorievskiy authored at least 10 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation.

Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey V. Savchenko, Martin Takác, Alexander V. Gasnikov

J. Optim. Theory Appl., April, 2026

2024

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization.

Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorievskiy, Anton Vakhrushev

CoRR, 2024

Stalactite: toolbox for fast prototyping of vertical federated learning systems.

Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2022

Synthetic Data-Based Simulators for Recommender Systems: A Survey.

Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko

CoRR, 2022

2020

Federated Multi-view Matrix Factorization for Personalized Recommendations.

Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes.

Alexander Grigorievskiy

PhD thesis, 2019

2017

Parallelizable sparse inverse formulation Gaussian processes (SpInGP).

Alexander Grigorievskiy, Neil D. Lawrence, Simo Särkkä

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Singular Value Decomposition update and its application to (Inc)-OP-ELM.

Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse

Neurocomputing, 2016

Gaussian Process kernels for popular state-space time series models.

Alexander Grigorievskiy, Juha Karhunen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Long-term time series prediction using OP-ELM.

Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, Eric Séverin, Amaury Lendasse

Neural Networks, 2014