Alexander Grigorievskiy

13 papers A 1B 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation. CoRR Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey V. Savchenko, Martin Takác, Alexander V. Gasnikov
2026	J	`jnl`	Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation. J. Optim. Theory Appl. Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey V. Savchenko, Martin Takác, Alexander V. Gasnikov
2024	J	`jnl`	Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. CoRR Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorievskiy, Anton Vakhrushev
2024	J	`jnl`	Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems. CoRR Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy
2024	A	`conf`	Stalactite: toolbox for fast prototyping of vertical federated learning systems. RecSys Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy
2022	J	`jnl`	Synthetic Data-Based Simulators for Recommender Systems: A Survey. CoRR Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko
2020	—	`conf`	Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
2020	J	`jnl`	Federated Multi-view Matrix Factorization for Personalized Recommendations. CoRR Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
2019	—	`—`	Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes. Alexander Grigorievskiy
2017	—	`conf`	Parallelizable sparse inverse formulation Gaussian processes (SpInGP). MLSP Alexander Grigorievskiy, Neil D. Lawrence, Simo Särkkä
2016	B	`conf`	Gaussian Process kernels for popular state-space time series models. IJCNN Alexander Grigorievskiy, Juha Karhunen
2016	J	`jnl`	Singular Value Decomposition update and its application to (Inc)-OP-ELM. Neurocomputing Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse
2014	J	`jnl`	Long-term time series prediction using OP-ELM. Neural Networks Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, Eric Séverin, Amaury Lendasse