Yordan Zaykov

Principal Research Engineering Manager

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Publications

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Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov

Automated Knowledge Base Construction | October 2021

Project

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang

NeurIPS Competition | April 2021

To appear in PMLR proceeding of NeurIPS competition

Preprint Project
Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, Jose Miguel Hernandez Lobato, Richard Turner, Richard Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

July 2020

Publication Project
Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

John Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian

Automated Knowledge Base Construction (AKBC) | May 2019

Best Research Paper Award

PDF Project Project

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, Jose Miguel Hern´andez-Lobato, Yordan Zaykov, Cheng Zhang

May 2019

Publication Github Project

Machine Learning Through Probabilistic Programming

Yordan Zaykov

MSDN Magazine | January 2019, Vol 34(1)

Publication
TrueSkill 2: An improved Bayesian skill rating system

Tom Minka, Ryan Cleven, Yordan Zaykov

MSR-TR-2018-8 | March 2018

Published by Microsoft

Publication Publication Project Project
Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley

Proceedings of CHI 2016 | January 2016

Publication
GroupBox: A Generative Model for Group Recommendation

Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov

MSR-TR-2015-61 | July 2015

Publication
Elastic Distributed Bayesian Collaborative Filtering

Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, Vijay Narayanan

January 2014

Publication Project

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov

Automated Knowledge Base Construction | October 2021

Project

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang

NeurIPS Competition | April 2021

To appear in PMLR proceeding of NeurIPS competition

Preprint Project

Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, Jose Miguel Hernandez Lobato, Richard Turner, Richard Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

July 2020

Publication Project

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

John Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian

Automated Knowledge Base Construction (AKBC) | May 2019

Best Research Paper Award

PDF Project Project

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, Jose Miguel Hern´andez-Lobato, Yordan Zaykov, Cheng Zhang

May 2019

Publication Github Project

Machine Learning Through Probabilistic Programming

Yordan Zaykov

MSDN Magazine | January 2019, Vol 34(1)

Publication

TrueSkill 2: An improved Bayesian skill rating system

Tom Minka, Ryan Cleven, Yordan Zaykov

MSR-TR-2018-8 | March 2018

Published by Microsoft

Publication Publication Project Project

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley

Proceedings of CHI 2016 | January 2016

Publication

GroupBox: A Generative Model for Group Recommendation

Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov

MSR-TR-2015-61 | July 2015

Publication

Elastic Distributed Bayesian Collaborative Filtering

Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, Vijay Narayanan

January 2014

Publication Project
Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov

Automated Knowledge Base Construction | October 2021

Project

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley

Proceedings of CHI 2016 | January 2016

Publication
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, Jose Miguel Hern´andez-Lobato, Yordan Zaykov, Cheng Zhang

May 2019

Publication Github Project

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov

Automated Knowledge Base Construction | October 2021

Project

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang

NeurIPS Competition | April 2021

To appear in PMLR proceeding of NeurIPS competition

Preprint Project

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

John Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian

Automated Knowledge Base Construction (AKBC) | May 2019

Best Research Paper Award

PDF Project Project

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Advait Sarkar, Cecily Morrison, FJ Dorn, R. Bedi, S. Steinheimer, J. Boisvert, J. Burggraaff, M. D'Souza, P. Kontschieder, S. Rota Bulo, L. Walsh, ChP. Kamm, Yordan Zaykov, Abigail Sellen, Siân Lindley

Proceedings of CHI 2016 | January 2016

Publication

Elastic Distributed Bayesian Collaborative Filtering

Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, Vijay Narayanan

January 2014

Publication Project
Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, Jose Miguel Hernandez Lobato, Richard Turner, Richard Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

July 2020

Publication Project

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, Jose Miguel Hern´andez-Lobato, Yordan Zaykov, Cheng Zhang

May 2019

Publication Github Project
Machine Learning Through Probabilistic Programming

Yordan Zaykov

MSDN Magazine | January 2019, Vol 34(1)

Publication
TrueSkill 2: An improved Bayesian skill rating system

Tom Minka, Ryan Cleven, Yordan Zaykov

MSR-TR-2018-8 | March 2018

Published by Microsoft

Publication Publication Project Project

GroupBox: A Generative Model for Group Recommendation

Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov

MSR-TR-2015-61 | July 2015

Publication

Yordan Zaykov

Publications

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Diagnostic Questions: The NeurIPS 2020 Education Challenge

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Machine Learning Through Probabilistic Programming

TrueSkill 2: An improved Bayesian skill rating system

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

GroupBox: A Generative Model for Group Recommendation

Elastic Distributed Bayesian Collaborative Filtering

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Diagnostic Questions: The NeurIPS 2020 Education Challenge

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Machine Learning Through Probabilistic Programming

TrueSkill 2: An improved Bayesian skill rating system

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

GroupBox: A Generative Model for Group Recommendation

Elastic Distributed Bayesian Collaborative Filtering

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

Setwise Comparison: Consistent, Scalable, Continuum Labels for Machine Learning

Elastic Distributed Bayesian Collaborative Filtering

Diagnostic Questions: The NeurIPS 2020 Education Challenge

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

Machine Learning Through Probabilistic Programming

TrueSkill 2: An improved Bayesian skill rating system

GroupBox: A Generative Model for Group Recommendation

Contact Yordan Zaykov

Microsoft Research Lab – Cambridge

Yordan Zaykov

Publications

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