| 2022 | AAAI | Role of Human-AI Interaction in Selective Prediction. | Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham |
| 2017 | AAAI | Low-Rank Factorization of Determinantal Point Processes. | Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2017 | AAAI | Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. | Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein |
| 2017 | WSDM | Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. | Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai |
| 2016 | AAAI | Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. | Marco Fraccaro, Ulrich Paquet, Ole Winther |
| 2016 | AAAI | Collective Noise Contrastive Estimation for Policy Transfer Learning. | Weinan Zhang, Ulrich Paquet, Katja Hofmann |
| 2016 | RecSys | Bayesian Low-Rank Determinantal Point Processes. | Mike Gartrell, Ulrich Paquet, Noam Koenigstein |
| 2016 | WWW | Beyond Collaborative Filtering: The List Recommendation Problem. | Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan |
| 2014 | RecSys | Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. | Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet |
| 2013 | RecSys | Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection. | Noam Koenigstein, Ulrich Paquet |
| 2013 | WWW | One-class collaborative filtering with random graphs. | Ulrich Paquet, Noam Koenigstein |
| 2012 | KDD | Transparent user models for personalization. | Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, Blaise Agera y Arcas |
| 2012 | RecSys | The Xbox recommender system. | Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen |
| 2012 | RecSys | Collaborative learning of preference rankings. | Tim Salimans, Ulrich Paquet, Thore Graepel |
| 2009 | CVPR | Convexity and Bayesian constrained local models. | Ulrich Paquet |
| 2005 | ICANN | On the Explicit Use of Example Weights in the Construction of Classifiers. | Andrew Naish-Guzman, Sean B. Holden, Ulrich Paquet |
| 2005 | ICANN | Bayesian Hierarchical Ordinal Regression. | Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman |
| 2003 | CEC | A new particle swarm optimiser for linearly constrained optimisation. | Ulrich Paquet, Andries P. Engelbrecht |
| 2003 | IJCNN | Training support vector machines with particle swarms. | Ulrich Paquet, Andries Petrus Engelbrecht |