Yordan Zaykov

Sr Principal Research Engineering Manager

Connect on LinkedIn

Papiers de Collaboration

Afficher par:

- 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
  
  PDF Projet
- 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 Projet
- 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 Projet
- 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 Projet Projet
- 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
  
  Mai 2019
  
  Publication Github Projet
- 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
  
  Publié par Microsoft
  
  Publication Publication Projet Projet
- 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 Projet

- 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
  
  PDF Projet
- 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 Projet
- 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 Projet
- 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 Projet Projet
- 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
  
  Mai 2019
  
  Publication Github Projet
- 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
  
  Publié par Microsoft
  
  Publication Publication Projet Projet
- 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 Projet
- 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
  
  PDF Projet
- 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
  
  Mai 2019
  
  Publication Github Projet

- 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
  
  PDF Projet
- 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 Projet
- 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 Projet Projet
- 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 Projet
- 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 Projet
- 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
  
  Mai 2019
  
  Publication Github Projet
- 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
  
  Publié par Microsoft
  
  Publication Publication Projet Projet
- GroupBox: A Generative Model for Group Recommendation
  
  Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov
  
  MSR-TR-2015-61 | July 2015
  
  Publication