Alexander Y. Shestopaloff

27 papers A* 2C 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A clusterability test for directed graphs.
CoRR
Mario R. Guarracino, Pierre Miasnikof, Alexander Y. Shestopaloff, Houyem Demni, Cristián Bravo, Yuri A. Lawryshyn
2025 J jnl
A statistical test for network similarity.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff
2025 J jnl
A unifying framework for generalised Bayesian online learning in non-stationary environments.
Trans. Mach. Learn. Res.
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Patrick Murphy
2025 J jnl
Bayesian Partial Reduced-Rank Regression.
J. Comput. Graph. Stat.
Maria F. Pintado, Matteo Iacopini, Luca Rossini, Alexander Y. Shestopaloff
2025 J jnl
Generalized Factor Neural Network Model for High-dimensional Regression.
CoRR
Zichuan Guo, Mihai Cucuringu, Alexander Y. Shestopaloff
2025 J jnl
MINERVA: Mutual Information Neural Estimation for Supervised Feature Selection.
CoRR
Taurai Muvunza, Egor Kraev, Pere Planell-Morell, Alexander Y. Shestopaloff
2025 J jnl
Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions.
Stat. Comput.
Maria F. Pintado, Matteo Iacopini, Luca Rossini, Alexander Y. Shestopaloff
2024 J jnl
BONE: a unifying framework for Bayesian online learning in non-stationary environments.
CoRR
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Murphy
2024 A* conf
Outlier-robust Kalman Filtering through Generalised Bayes.
ICML
Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy
2024 J jnl
Outlier-robust Kalman Filtering through Generalised Bayes.
CoRR
Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy
2024 J jnl
Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder.
CoRR
Parley R. Yang, Alexander Y. Shestopaloff
2023 — conf
Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models.
ICAIF
Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren
2023 — conf
Empirical Study of Graph Spectra and Their Limitations.
COMPLEX NETWORKS (1)
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
2023 — conf
Low-rank extended Kalman filtering for online learning of neural networks from streaming data.
CoLLAs
Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy
2023 J jnl
Low-rank extended Kalman filtering for online learning of neural networks from streaming data.
CoRR
Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy
2023 J jnl
Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models.
CoRR
Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren
2023 J jnl
Statistical power, accuracy, reproducibility and robustness of a graph clusterability test.
Int. J. Data Sci. Anal.
Pierre Miasnikof, Alexander Y. Shestopaloff, Andrei M. Raigorodskii
2022 — conf
Statistical Network Similarity.
COMPLEX NETWORKS (2)
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
2022 J jnl
Statistical network isomorphism.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
2021 J jnl
An empirical comparison of connectivity-based distances on a graph and their computational scalability.
J. Complex Networks
Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko
2020 J jnl
A density-based statistical analysis of graph clustering algorithm performance.
J. Complex Networks
Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos, Ernesto Estrada
2020 — conf
Distances on a Graph.
COMPLEX NETWORKS (1)
Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko, Yuri A. Lawryshyn
2020 J jnl
Graph Distances and Clustering.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Yuri A. Lawryshyn
2019 J jnl
A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos
2019 — conf
A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability.
LION
Pierre Miasnikof, Liudmila Prokhorenkova, Alexander Y. Shestopaloff, Andrei M. Raigorodskii
2019 A* conf
Replica Conditional Sequential Monte Carlo.
ICML
Alexander Y. Shestopaloff, Arnaud Doucet
2018 C conf
A Statistical Performance Analysis of Graph Clustering Algorithms.
WAW
Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn