| 2024 | AISTATS | A Greedy Approximation for k-Determinantal Point Processes. | Julia Grosse, Rahel Fischer, Roman Garnett, Philipp Hennig |
| 2024 | WACV | A Visual Active Search Framework for Geospatial Exploration. | Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik |
| 2023 | AISTATS | A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data. | Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett |
| 2023 | AISTATS | Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. | Quan Nguyen, Roman Garnett |
| 2021 | AAAI | Scarce Societal Resource Allocation and the Price of (Local) Justice. | Quan Nguyen, Sanmay Das, Roman Garnett |
| 2021 | ICML | Nonmyopic Multifidelity Acitve Search. | Quan Nguyen, Arghavan Modiri, Roman Garnett |
| 2020 | ICML | BINOCULARS for efficient, nonmyopic sequential experimental design. | Shali Jiang, Henry Chai, Javier Gonzlez, Roman Garnett |
| 2020 | UAI | GPIRT: A Gaussian Process Model for Item Response Theory. | JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery |
| 2019 | AISTATS | Improving Quadrature for Constrained Integrands. | Henry R. Chai, Roman Garnett |
| 2019 | ICML | Automated Model Selection with Bayesian Quadrature. | Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett |
| 2017 | AAAI | Active Search for Sparse Signals with Region Sensing. | Yifei Ma, Roman Garnett, Jeff G. Schneider |
| 2017 | AAAI | Active Search in Intensionally Specified Structured Spaces. | Dino Oglic, Roman Garnett, Thomas Grtner |
| 2017 | AISTATS | Discovering and Exploiting Additive Structure for Bayesian Optimization. | Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse |
| 2017 | ICML | Efficient Nonmyopic Active Search. | Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett |
| 2016 | ICML | BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces. | Shane Carr, Roman Garnett, Cynthia Lo |
| 2016 | ICML | Bayesian optimization for automated model selection. | Gustavo Malkomes, Chip Schaff, Roman Garnett |
| 2015 | AISTATS | Active Pointillistic Pattern Search. | Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider |
| 2015 | ICML | Finding Galaxies in the Shadows of Quasars with Gaussian Processes. | Roman Garnett, Shirley Ho, Jeff G. Schneider |
| 2015 | ICML | Differentially Private Bayesian Optimization. | Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger |
| 2014 | AAAI | Power Iterated Color Refinement. | Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe |
| 2014 | AISTATS | Active Area Search via Bayesian Quadrature. | Yifei Ma, Roman Garnett, Jeff G. Schneider |
| 2014 | UAI | Active Learning of Linear Embeddings for Gaussian Processes. | Roman Garnett, Michael A. Osborne, Philipp Hennig |
| 2013 | ACML | Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. | Marion Neumann, Roman Garnett, Kristian Kersting |
| 2013 | KDD | Active search on graphs. | Xuezhi Wang, Roman Garnett, Jeff G. Schneider |
| 2012 | AAAI | Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults. | Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas |
| 2012 | ICML | Bayesian Optimal Active Search and Surveying. | Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann |
| 2010 | AINA | Active Data Selection for Sensor Networks with Faults and Changepoints. | Michael A. Osborne, Roman Garnett, Stephen J. Roberts |
| 2009 | ICML | Sequential Bayesian prediction in the presence of changepoints. | Roman Garnett, Michael A. Osborne, Stephen J. Roberts |