Garnett, Roman

43 publications

AISTATS 2024 A Greedy Approximation for K-Determinantal Point Processes Julia Grosse, Rahel Fischer, Roman Garnett, Philipp Hennig

WACV 2024 A Visual Active Search Framework for Geospatial Exploration Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

NeurIPSW 2024 Gaussian Process Conjoint Analysis for Adaptive Marginal Effect Estimation Yehu Chen, Jacob Montgomery, Roman Garnett

NeurIPS 2024 Idiographic Personality Gaussian Process for Psychological Assessment Yehu Chen, Muchen Xi, Jacob Montgomery, Joshua Jackson, Roman Garnett

AISTATS 2023 A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data Yehu Chen, Annamaria Prati, Jacob Montgomery, Roman Garnett

AISTATS 2023 Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery Quan Nguyen, Roman Garnett

NeurIPS 2023 The Behavior and Convergence of Local Bayesian Optimization Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob Gardner

NeurIPS 2022 Local Bayesian Optimization via Maximizing Probability of Descent Quan Nguyen, Kaiwen Wu, Jacob Gardner, Roman Garnett

ICML 2021 Nonmyopic Multifidelity Acitve Search Quan Nguyen, Arghavan Modiri, Roman Garnett

AAAI 2021 Scarce Societal Resource Allocation and the Price of (Local) Justice Quan Nguyen, Sanmay Das, Roman Garnett

ICML 2020 BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett

NeurIPS 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang, Daniel Jiang, Maximilian Balandat, Brian Karrer, Jacob Gardner, Roman Garnett

UAI 2020 GPIRT: A Gaussian Process Model for Item Response Theory JBrandon Duck-Mayr, Roman Garnett, Jacob Montgomery

ICML 2019 Automated Model Selection with Bayesian Quadrature Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett

NeurIPS 2019 Cost Effective Active Search Shali Jiang, Roman Garnett, Benjamin Moseley

NeurIPS 2019 D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen

AISTATS 2019 Improving Quadrature for Constrained Integrands Henry R. Chai, Roman Garnett

NeurIPS 2018 Automating Bayesian Optimization with Bayesian Optimization Gustavo Malkomes, Roman Garnett

NeurIPS 2018 Efficient Nonmyopic Batch Active Search Shali Jiang, Gustavo Malkomes, Matthew Abbott, Benjamin Moseley, Roman Garnett

AAAI 2017 Active Search for Sparse Signals with Region Sensing Yifei Ma, Roman Garnett, Jeff G. Schneider

AAAI 2017 Active Search in Intensionally Specified Structured Spaces Dino Oglic, Roman Garnett, Thomas Gärtner

AISTATS 2017 Discovering and Exploiting Additive Structure for Bayesian Optimization Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse

ICML 2017 Efficient Nonmyopic Active Search Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett

ICML 2016 BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces Shane Carr, Roman Garnett, Cynthia Lo

NeurIPS 2016 Bayesian Optimization for Automated Model Selection Gustavo Malkomes, Charles Schaff, Roman Garnett

AutoML 2016 Bayesian Optimization for Automated Model Selection Gustavo Malkomes, Chip Schaff, Roman Garnett

MLJ 2016 Propagation Kernels: Efficient Graph Kernels from Propagated Information Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting

AISTATS 2015 Active Pointillistic Pattern Search Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider

NeurIPS 2015 Bayesian Active Model Selection with an Application to Automated Audiometry Jacob Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis Barbour, John P. Cunningham

ICML 2015 Differentially Private Bayesian Optimization Matt Kusner, Jacob Gardner, Roman Garnett, Kilian Weinberger

ICML 2015 Finding Galaxies in the Shadows of Quasars with Gaussian Processes Roman Garnett, Shirley Ho, Jeff Schneider

AISTATS 2014 Active Area Search via Bayesian Quadrature Yifei Ma, Roman Garnett, Jeff G. Schneider

UAI 2014 Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett, Michael A. Osborne, Philipp Hennig

AAAI 2014 Power Iterated Color Refinement Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe

NeurIPS 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature Tom Gunter, Michael A Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts

ACML 2013 Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels Marion Neumann, Roman Garnett, Kristian Kersting

NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields Yifei Ma, Roman Garnett, Jeff Schneider

NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature Michael Osborne, Roman Garnett, Zoubin Ghahramani, David K. Duvenaud, Stephen J. Roberts, Carl E. Rasmussen

ICML 2012 Bayesian Optimal Active Search and Surveying Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann

AISTATS 2012 Bayesian Quadrature for Ratios Michael Osborne, Roman Garnett, Stephen Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson

ECML-PKDD 2012 Efficient Graph Kernels by Randomization Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting

AAAI 2012 Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas

ICML 2009 Sequential Bayesian Prediction in the Presence of Changepoints Roman Garnett, Michael A. Osborne, Stephen J. Roberts