John Guiver

According to our database, John Guiver authored at least 18 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

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

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2019

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

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

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2016

Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems.

Matteo Venanzi, John Guiver, Pushmeet Kohli, Nicholas R. Jennings

J. Artif. Intell. Res., 2016

2015

Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning.

Edwin Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings

Proceedings of the 24th International Conference on World Wide Web, 2015

2014

Community-based bayesian aggregation models for crowdsourcing.

Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, Milad Shokouhi

Proceedings of the 23rd International World Wide Web Conference, 2014

A large-scale exploration of group viewing patterns.

Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2014

Tabular: a schema-driven probabilistic programming language.

Andrew D. Gordon, Thore Graepel, Nicolas Rolland, Claudio V. Russo, Johannes Borgström, John Guiver

Proceedings of the 41st Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2014

Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model.

Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2012

De-Layering Social Networks by Shared Tastes of Friendships.

Laura Dietz, Ben Gamari, John Guiver, Edward Lloyd Snelson, Ralf Herbrich

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing.

Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Statistical models of music-listening sessions in social media.

Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, Natasa Milic-Frayling

Proceedings of the 19th International Conference on World Wide Web, 2010

2009

A few good topics: Experiments in topic set reduction for retrieval evaluation.

John Guiver, Stefano Mizzaro, Stephen Robertson

ACM Trans. Inf. Syst., 2009

Novel tools to streamline the conference review process: experiences from SIGKDD'09.

Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki

SIGKDD Explor., 2009

Bayesian inference for Plackett-Luce ranking models.

John Guiver, Edward Lloyd Snelson

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

SoftRank: optimizing non-smooth rank metrics.

Michael J. Taylor, John Guiver, Stephen Robertson, Tom Minka

Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Learning to rank with SoftRank and Gaussian processes.

John Guiver, Edward Lloyd Snelson

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2003

The state space bounded derivative network superceding the application of neural networks in control.

Paul Turner, John Guiver

Proceedings of the 7th European Control Conference, 2003

Introducing the state space bounded derivative network for commercial transition control.

Paul Turner, John Guiver, Brian Lines

Proceedings of the American Control Conference, 2003