| 2021 | NAACL | Clipping Loops for Sample-Efficient Dialogue Policy Optimisation. | Yen-Chen Wu, Carl Edward Rasmussen |
| 2020 | AISTATS | Deep Structured Mixtures of Gaussian Processes. | Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen |
| 2020 | ICASSP | Improving Sample-Efficiency in Reinforcement Learning for Dialogue Systems by Using Trainable-Action-Mask. | Yen-Chen Wu, Bo-Hsiang Tseng, Carl Edward Rasmussen |
| 2019 | ICLR | Deep Convolutional Networks as shallow Gaussian Processes. | Adri Garriga-Alonso, Carl Edward Rasmussen, Laurence Aitchison |
| 2019 | ICML | Rates of Convergence for Sparse Variational Gaussian Process Regression. | David R. Burt, Carl Edward Rasmussen, Mark van der Wilk |
| 2019 | ICML | Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models. | Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen |
| 2018 | ICML | PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. | Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya |
| 2016 | IJCNN | Manifold Gaussian Processes for regression. | Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth |
| 2011 | ICML | PILCO: A Model-Based and Data-Efficient Approach to Policy Search. | Marc Peter Deisenroth, Carl Edward Rasmussen |
| 2010 | ICML | Gaussian Process Change Point Models. | Yunus Saatci, Ryan D. Turner, Carl Edward Rasmussen |
| 2008 | ESANN | Model-Based Reinforcement Learning with Continuous States and Actions. | Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters |
| 2006 | ICML | A choice model with infinitely many latent features. | Dilan Grr, Frank Jkel, Carl Edward Rasmussen |
| 2005 | ICML | Healing the relevance vector machine through augmentation. | Carl Edward Rasmussen, Joaquin Quionero Candela |
| 2004 | PSB | Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models. | Ananya Dubey, Seungwoo Hwang, Claudia Rangel, Carl Edward Rasmussen, Zoubin Ghahramani, David L. Wild |
| 2003 | ICASSP | Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. | Joaquin Quionero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen |