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Yordan Zaykov
Yordan Zaykov
Microsoft Research
Verified email at microsoft.com - Homepage
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Cited by
Year
Infer .NET 2.6. Microsoft Research Cambridge
T Minka, J Winn, J Guiver, S Webster, Y Zaykov, B Yangel, A Spengler, ...
URL http://research. microsoft. com/infernet, 2014
154*2014
TrueSkill 2: An improved Bayesian skill rating system
T Minka, R Cleven, Y Zaykov
Technical Report, 2018
712018
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
282020
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
242016
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
132019
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
102019
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
82021
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
72018
GroupBox: A generative model for group recommendation
C Zhang, M Gartrell, T Minka, Y Zaykov, J Guiver
Microsoft Research, 2015
52015
Infer .NET 0.3. 2018
T Minka, J Winn, J Guiver, Y Zaykov, D Fabian, J Bronskill
Microsoft Research Cambridge https://dotnet. github. io/infer, 0
5
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
42014
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
32021
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
12021
Knowledge base construction
JM Winn, J Guiver, SA Webster, YK Zaykov, M Kukla, D Fabian
US Patent App. 15/898,211, 2019
12019
Cross-provider topic conflation
M Venanzi, I Korostelev, E POCHERNINA, S WEBSTER, P MYSHKOV, ...
US Patent App. 17/241,217, 2022
2022
Improving Detection of Change in Motor Functioning in Multiple Sclerosis Using Video-Assisted Composite Measures
KH Lam, CEP van Munster, M D’Souza, S Steinheimer, CP Kamm, ...
International journal of MS care 24 (5), 230-234, 2022
2022
Annotations for enterprise knowledge graphs using multiple toolkits
D Meyerzon, OZ Khan, H Li, J Guiver, I Korostelev, M Venanzi, ...
US Patent App. 16/933,947, 2022
2022
Enterprise knowledge graphs using multiple toolkits
D Meyerzon, OZ Khan, H Li, VV Gvozdev, J Guiver, I Korostelev, ...
US Patent App. 16/933,888, 2022
2022
Interpretable neural network
C Zhang, YK ZAYKOV, LI Yingzhen, JMH Lobato, A Popkes, HC Overweg
US Patent App. 16/459,596, 2020
2020
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