Introducing the state space bounded derivative network for commercial transition control. - Paul Turner; John Guiver; Brian Lines (ACC, 2003)

The state space bounded derivative network superceding the application of neural networks in control. - Paul Turner; John Guiver (ECC, 2003)

Learning to rank with SoftRank and Gaussian processes. - John Guiver; Edward Lloyd Snelson (SIGIR, 2008)

SoftRank: optimizing non-smooth rank metrics. - Michael J. Taylor 001; John Guiver; Stephen Robertson; Tom Minka (WSDM, 2008)

Bayesian inference for Plackett-Luce ranking models. - John Guiver; Edward Lloyd Snelson (ICML, 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)

A few good topics: Experiments in topic set reduction for retrieval evaluation. - John Guiver; Stefano Mizzaro; Stephen Robertson (ACM Trans. Inf. Syst., 2009)

Statistical models of music-listening sessions in social media. - Elena Zheleva; John Guiver; Eduarda Mendes Rodrigues; Natasa Milic-Frayling (WWW, 2010)

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 (ICML, 2012)

De-Layering Social Networks by Shared Tastes of Friendships. - Laura Dietz; Ben Gamari; John Guiver; Edward Lloyd Snelson; Ralf Herbrich (ICWSM, 2012)

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 (ECML/PKDD (3), 2014)

Tabular: a schema-driven probabilistic programming language. - Andrew D. Gordon 001; Thore Graepel; Nicolas Rolland; Claudio V. Russo; Johannes Borgström; John Guiver (POPL, 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 (TVX, 2014)

Community-based bayesian aggregation models for crowdsourcing. - Matteo Venanzi; John Guiver; Gabriella Kazai; Pushmeet Kohli; Milad Shokouhi (WWW, 2014)

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 (WWW, 2015)

Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. - Matteo Venanzi; John Guiver; Pushmeet Kohli; Nicholas R. Jennings (J. Artif. Intell. Res., 2016)

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program. - John M. Winn; John Guiver; Sam Webster; Yordan Zaykov; Martin Kukla; Dany Fabian (AKBC, 2019)

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; et al. (AKBC, 2021)