| 2020 | SIGMOD | Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle. | Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia, Richard Zang, Juntai Zheng, Corey Zumar |
| 2016 | KDD | Business Applications of Predictive Modeling at Scale. | Qiang Zhu, Songtao Guo, Paul Ogilvie, Yan Liu |
| 2007 | SIGIR | Structured retrieval for question answering. | Matthew W. Bilotti, Paul Ogilvie, Jamie Callan, Eric Nyberg |
| 2006 | CIKM | Investigating the exhaustivity dimension in content-oriented XML element retrieval evaluation. | Paul Ogilvie, Mounia Lalmas |
| 2004 | SIGIR | Understanding combination of evidence using generative probabilistic models for information retrieval (abstract only). | Paul Ogilvie |
| 2003 | SIGIR | Combining document representations for known-item search. | Paul Ogilvie, James P. Callan |
| 2002 | CIKM | A language modeling framework for resource selection and results merging. | Luo Si, Rong Jin, James P. Callan, Paul Ogilvie |
| 2001 | CIKM | The Effectiveness of Query Expansion for Distributed Information Retrieval. | Paul Ogilvie, James P. Callan |
| 2000 | CIKM | Language Models for Financial News Recommendation. | Victor Lavrenko, Matthew D. Schmill, Dawn J. Lawrie, Paul Ogilvie, David D. Jensen, James Allan |