Yordan Zaykov
Yordan Zaykov
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
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
114*2014
TrueSkill 2: An improved Bayesian skill rating system
T Minka, R Cleven, Y Zaykov
Tech. Rep., 2018
382018
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
202016
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
122020
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, 2019
112019
Infer .NET 0.3, 2018. Microsoft Research Cambridge
T Minka, J Winn, J Guiver, Y Zaykov, D Fabian, J Bronskill
11
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
62018
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
52019
GroupBox: A generative model for group recommendation
C Zhang, M Gartrell, T Minka, Y Zaykov, J Guiver
Microsoft Research, 2015
52015
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
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ...
arXiv preprint arXiv:2104.04034, 2021
12021
Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
M Venanzi, J Winn, T Minka, D Wilkins, S Lindley, I Korostelev, R Banks, ...
3rd Conference on Automated Knowledge Base Construction, 2021
2021
Interpretable neural network
C Zhang, YK ZAYKOV, LI Yingzhen, JMH Lobato, A Popkes, HC Overweg
US Patent App. 16/459,596, 2020
2020
Knowledge base construction
JM Winn, J Guiver, SA Webster, YK Zaykov, M Kukla, D Fabian
US Patent App. 15/898,211, 2019
2019
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