John Guiver

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 3

Top Topics

Conditional Dependencies

Completely Unsupervised

Language Understanding

Top Venues

Publications

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
Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities. AKBC (2021)
John M. Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian
Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program. AKBC (2019)
Matteo Venanzi, John Guiver, Pushmeet Kohli, Nicholas R. Jennings
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. J. Artif. Intell. Res. 56 (2016)
Edwin D. Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings
Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. WWW (2015)
Matteo Venanzi, John Guiver, Pushmeet Kohli, Nick R. Jennings
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. CoRR (2015)
Andrew D. Gordon, Thore Graepel, Nicolas Rolland, Claudio V. Russo, Johannes Borgström, John Guiver
Tabular: a schema-driven probabilistic programming language. POPL (2014)
Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model. ECML/PKDD (3) (2014)
Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
A large-scale exploration of group viewing patterns. TVX (2014)
Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, Milad Shokouhi
Community-based bayesian aggregation models for crowdsourcing. WWW (2014)
Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver
How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing. ICML (2012)
Laura Dietz, Ben Gamari, John Guiver, Edward Lloyd Snelson, Ralf Herbrich
De-Layering Social Networks by Shared Tastes of Friendships. ICWSM (2012)
Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, Natasa Milic-Frayling
Statistical models of music-listening sessions in social media. WWW (2010)
John Guiver, Edward Lloyd Snelson
Bayesian inference for Plackett-Luce ranking models. ICML (2009)
John Guiver, Stefano Mizzaro, Stephen Robertson
A few good topics: Experiments in topic set reduction for retrieval evaluation. ACM Trans. Inf. Syst. 27 (4) (2009)
Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki
Novel tools to streamline the conference review process: experiences from SIGKDD'09. SIGKDD Explor. 11 (2) (2009)
John Guiver, Edward Lloyd Snelson
Learning to rank with SoftRank and Gaussian processes. SIGIR (2008)
Michael J. Taylor, John Guiver, Stephen Robertson, Tom Minka
SoftRank: optimizing non-smooth rank metrics. WSDM (2008)
Paul Turner, John Guiver
The state space bounded derivative network superceding the application of neural networks in control. ECC (2003)
Paul Turner, John Guiver, Brian Lines
Introducing the state space bounded derivative network for commercial transition control. ACC (2003)