| Infer .NET 2.6. Microsoft Research Cambridge T Minka, J Winn, J Guiver, D Knowles URL http://research. microsoft. com/infernet, 2014 | 211* | 2014 |
| Trueskill 2: An improved bayesian skill rating system T Minka, R Cleven, Y Zaykov Technical Report, 2018 | 129 | 2018 |
| Instructions and guide for diagnostic questions: The neurips 2020 education challenge Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ... arXiv preprint arXiv:2007.12061, 2020 | 86 | 2020 |
| Setwise comparison: Consistent, scalable, continuum labels for computer vision A Sarkar, C Morrison, JF Dorn, R Bedi, S Steinheimer, J Boisvert, ... Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 29 | 2016 |
| Results and insights from diagnostic questions: The neurips 2020 education challenge Z Wang, A Lamb, E Saveliev, P Cameron, J Zaykov, ... NeurIPS 2020 Competition and Demonstration Track, 191-205, 2021 | 20 | 2021 |
| Interpretable outcome prediction with sparse Bayesian neural networks in intensive care AL Popkes, H Overweg, A Ercole, Y Li, JM Hernández-Lobato, Y Zaykov, ... arXiv preprint arXiv:1905.02599 29, 34, 2019 | 17 | 2019 |
| Interpretable outcome prediction with sparse Bayesian neural networks in intensive care H Overweg, AL Popkes, A Ercole, Y Li, JM Hernández-Lobato, Y Zaykov, ... arXiv preprint arXiv:1905.02599, 2019 | 17 | 2019 |
| Alexandria: Unsupervised high-precision knowledge base construction using a probabilistic program J Winn, J Guiver, S Webster, Y Zaykov, M Kukla, D Fabian Automated Knowledge Base Construction (AKBC), 2018 | 13 | 2018 |
| Accurate imputation and efficient data acquisitionwith transformer-based vaes S Lewis, T Matejovicova, Y Li, A Lamb, Y Zaykov, M Allamanis, C Zhang NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 5 | 2021 |
| Knowledge base construction JM Winn, J Guiver, SA Webster, YK Zaykov, M Kukla, D Fabian US Patent App. 15/898,211, 2019 | 5 | 2019 |
| GroupBox: A generative model for group recommendation C Zhang, M Gartrell, T Minka, Y Zaykov, J Guiver Microsoft Research, 2015 | 5 | 2015 |
| Enterprise knowledge graphs using multiple toolkits D Meyerzon, OZ Khan, H Li, VV Gvozdev, J Guiver, I Korostelev, ... US Patent 11,573,967, 2023 | 4 | 2023 |
| Enterprise Alexandria: Online high-precision enterprise knowledge base construction with typed entities J Winn, M Venanzi, T Minka, I Korostelev, J Guiver, E Pochernina, ... 3rd Conference on Automated Knowledge Base Construction, 2021 | 4 | 2021 |
| Elastic distributed bayesian collaborative filtering A Beutel, M Weimer, V Narayanan, YZT Minka, Y Zaykov, V Narayanan NIPS workshop on Distributed Machine Learning and Matrix Computations, 2014 | 4 | 2014 |
| Interpretable neural network C Zhang, YK ZAYKOV, LI Yingzhen, JMH Lobato, A Popkes, HC Overweg US Patent App. 16/459,596, 2020 | 3 | 2020 |
| Knowledge base with type discovery E Pochernina, J Winn, M Venanzi, I Korostelev, P Myshkov, SA Webster, ... US Patent App. 17/493,819, 2023 | 1 | 2023 |
| Knowledge base with type discovery E Pochernina, J Winn, M Venanzi, I Korostelev, P Myshkov, SA Webster, ... US Patent App. 17/460,123, 2023 | 1 | 2023 |
| Incorporating structured knowledge in neural networks B Mitra, YK Zaykov, JM Winn, JJ Hensman US Patent App. 18/141,141, 2024 | | 2024 |
| Annotations for enterprise knowledge graphs using multiple toolkits D Meyerzon, OZ Khan, H Li, J Guiver, I Korostelev, M Venanzi, ... US Patent 11,544,323, 2023 | | 2023 |
| Cross-provider topic conflation M Venanzi, I Korostelev, E POCHERNINA, S WEBSTER, P MYSHKOV, ... US Patent App. 17/241,217, 2022 | | 2022 |
