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Alexander Y. Shestopaloff
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Journal Articles
- 2023
- [j3]Pierre Miasnikof, Alexander Y. Shestopaloff, Andrei M. Raigorodskii:
Statistical power, accuracy, reproducibility and robustness of a graph clusterability test. Int. J. Data Sci. Anal. 15(4): 379-390 (2023) - 2021
- [j2]Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko:
An empirical comparison of connectivity-based distances on a graph and their computational scalability. J. Complex Networks 10(1) (2021) - 2020
- [j1]Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos, Ernesto Estrada:
A density-based statistical analysis of graph clustering algorithm performance. J. Complex Networks 8(3) (2020)
Conference and Workshop Papers
- 2024
- [c9]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. ICML 2024 - 2023
- [c8]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoLLAs 2023: 1025-1071 - [c7]Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Empirical Study of Graph Spectra and Their Limitations. COMPLEX NETWORKS (1) 2023: 295-307 - [c6]Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren:
Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models. ICAIF 2023: 454-462 - 2022
- [c5]Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Statistical Network Similarity. COMPLEX NETWORKS (2) 2022: 325-336 - 2020
- [c4]Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko, Yuri A. Lawryshyn:
Distances on a Graph. COMPLEX NETWORKS (1) 2020: 189-199 - 2019
- [c3]Alexander Y. Shestopaloff, Arnaud Doucet:
Replica Conditional Sequential Monte Carlo. ICML 2019: 5749-5757 - [c2]Pierre Miasnikof, Liudmila Prokhorenkova, Alexander Y. Shestopaloff, Andrei M. Raigorodskii:
A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability. LION 2019: 17-29 - 2018
- [c1]Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn:
A Statistical Performance Analysis of Graph Clustering Algorithms. WAW 2018: 170-184
Informal and Other Publications
- 2024
- [i8]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. CoRR abs/2405.05646 (2024) - [i7]Parley R. Yang, Alexander Y. Shestopaloff:
Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder. CoRR abs/2406.19414 (2024) - [i6]Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Murphy:
BONE: a unifying framework for Bayesian online learning in non-stationary environments. CoRR abs/2411.10153 (2024) - 2023
- [i5]Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren:
Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models. CoRR abs/2305.06704 (2023) - [i4]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoRR abs/2305.19535 (2023) - 2022
- [i3]Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Statistical network isomorphism. CoRR abs/2206.10074 (2022) - 2020
- [i2]Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Yuri A. Lawryshyn:
Graph Distances and Clustering. CoRR abs/2004.03016 (2020) - 2019
- [i1]Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos:
A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance. CoRR abs/1906.02366 (2019)
Coauthor Index
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