Roman Garnett

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 53

Top Topics

Gaussian Process

Top Venues

Publications

Yehu Chen, Muchen Xi, Jacob M. Montgomery, Joshua Jackson, Roman Garnett
Idiographic Personality Gaussian Process for Psychological Assessment. CoRR (2024)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. WACV (2024)
Julia Grosse, Rahel Fischer, Roman Garnett, Philipp Hennig
A Greedy Approximation for k-Determinantal Point Processes. AISTATS (2024)
Quan Nguyen, Anindya Sarkar, Roman Garnett
Amortized nonmyopic active search via deep imitation learning. CoRR (2024)
Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data. AISTATS (2023)
Quan Nguyen, Roman Garnett
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. AISTATS (2023)
Shayan Monadjemi, Mengtian Guo, David Gotz, Roman Garnett, Alvitta Ottley
Human-Computer Collaboration for Visual Analytics: an Agent-based Framework. Comput. Graph. Forum 42 (3) (2023)
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob Gardner
The Behavior and Convergence of Local Bayesian Optimization. NeurIPS (2023)
Sunwoo Ha, Shayan Monadjemi, Roman Garnett, Alvitta Ottley
A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Shayan Monadjemi, Mengtian Guo, David Gotz, Roman Garnett, Alvitta Ottley
Human-Computer Collaboration for Visual Analytics: an Agent-based Framework. CoRR (2023)
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
The Behavior and Convergence of Local Bayesian Optimization. CoRR (2023)
Shayan Monadjemi, Sunwoo Ha, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley
Guided Data Discovery in Interactive Visualizations via Active Search. IEEE VIS (Short Papers) (2022)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. CoRR (2022)
Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
Local Bayesian optimization via maximizing probability of descent. NeurIPS (2022)
Quan Nguyen, Roman Garnett
Nonmyopic Multiclass Active Search for Diverse Discovery. CoRR (2022)
Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
Local Bayesian optimization via maximizing probability of descent. CoRR (2022)
Sunwoo Ha, Shayan Monadjemi, Roman Garnett, Alvitta Ottley
A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias. CoRR (2022)
Quan Nguyen, Arghavan Modiri, Roman Garnett
Nonmyopic Multifidelity Acitve Search. ICML (2021)
Quan Nguyen, Sanmay Das, Roman Garnett
Scarce Societal Resource Allocation and the Price of (Local) Justice. AAAI (2021)
Quan Nguyen, Arghavan Modiri, Roman Garnett
Nonmyopic Multifidelity Active Search. CoRR (2021)
Shayan Monadjemi, Roman Garnett, Alvitta Ottley
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Fatemah Mukadum, Quan Nguyen, Daniel M. Adrion, Gabriel Appleby, Rui Chen, Haley Dang, Remco Chang, Roman Garnett, Steven A. Lopez
Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search. J. Chem. Inf. Model. 61 (11) (2021)
JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery
GPIRT: A Gaussian Process Model for Item Response Theory. UAI (2020)
JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery
GPIRT: A Gaussian Process Model for Item Response Theory. CoRR (2020)
Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett
BINOCULARS for efficient, nonmyopic sequential experimental design. ICML (2020)
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. CoRR (2020)
Shayan Monadjemi, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley
Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search. CoRR (2020)
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. NeurIPS (2020)
Shayan Monadjemi, Roman Garnett, Alvitta Ottley
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection. CoRR (2020)
Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett
Automated Model Selection with Bayesian Quadrature. ICML (2019)
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS (2019)
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. CoRR (2019)
Henry R. Chai, Roman Garnett
Improving Quadrature for Constrained Integrands. AISTATS (2019)
Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett
Efficient nonmyopic Bayesian optimization and quadrature. CoRR (2019)
Henry Chai, Jean-Francois Ton, Roman Garnett, Michael A. Osborne
Automated Model Selection with Bayesian Quadrature. CoRR (2019)
Alvitta Ottley, Roman Garnett, Ran Wan
Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis. Comput. Graph. Forum 38 (3) (2019)
Shali Jiang, Roman Garnett, Benjamin Moseley
Cost Effective Active Search. NeurIPS (2019)
Ran Wan, Roman Garnett, Alvitta Ottley
Learning and Anticipating Future Actions During Exploratory Data Analysis. CoRR (2018)
Shali Jiang, Gustavo Malkomes, Matthew Abbott, Benjamin Moseley, Roman Garnett
Efficient nonmyopic batch active search. NeurIPS (2018)
Gustavo Malkomes, Roman Garnett
Automating Bayesian optimization with Bayesian optimization. NeurIPS (2018)
Shali Jiang, Gustavo Malkomes, Benjamin Moseley, Roman Garnett
Efficient nonmyopic active search with applications in drug and materials discovery. CoRR (2018)
Henry Chai, Roman Garnett
An Improved Bayesian Framework for Quadrature of Constrained Integrands. CoRR (2018)
Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett
Efficient Nonmyopic Active Search. ICML (2017)
Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse
Discovering and Exploiting Additive Structure for Bayesian Optimization. AISTATS (2017)
Yifei Ma, Roman Garnett, Jeff G. Schneider
Active Search for Sparse Signals with Region Sensing. AAAI (2017)
Dino Oglic, Roman Garnett, Thomas Gärtner
Active Search in Intensionally Specified Structured Spaces. AAAI (2017)
Gustavo Malkomes, Kefu Lu, Blakeley Hoffman, Roman Garnett, Benjamin Moseley, Richard P. Mann
Cooperative Set Function Optimization Without Communication or Coordination. AAMAS (2017)
Yifei Ma, Roman Garnett, Jeff G. Schneider
Active Search for Sparse Signals with Region Sensing. CoRR (2016)
Shane Carr, Roman Garnett, Cynthia Lo
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces. ICML (2016)
Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. 102 (2) (2016)
Philipp Hennig, Roman Garnett
Exact Sampling from Determinantal Point Processes. CoRR (2016)
Gustavo Malkomes, Chip Schaff, Roman Garnett
Bayesian optimization for automated model selection. NIPS (2016)
Gustavo Malkomes, Chip Schaff, Roman Garnett
Bayesian optimization for automated model selection. AutoML@ICML (2016)
Roman Garnett, Shirley Ho, Jeff G. Schneider
Finding Galaxies in the Shadows of Quasars with Gaussian Processes. ICML (2015)
Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger
Differentially Private Bayesian Optimization. ICML (2015)
Roman Garnett, Thomas Gärtner, Martin Vogt, Jürgen Bajorath
Introducing the 'active search' method for iterative virtual screening. J. Comput. Aided Mol. Des. 29 (4) (2015)
Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider
Active Pointillistic Pattern Search. AISTATS (2015)
Jacob R. Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham
Bayesian Active Model Selection with an Application to Automated Audiometry. NIPS (2015)
Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe
Power Iterated Color Refinement. AAAI (2014)
Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature. NIPS (2014)
Roman Garnett, Michael A. Osborne, Philipp Hennig
Active Learning of Linear Embeddings for Gaussian Processes. UAI (2014)
Roman Garnett, Thomas Gärtner, Timothy Ellersiek, Eyjolfur Gudmondsson, Petur Oskarsson
Predicting unexpected influxes of players in EVE online. CIG (2014)
Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
Propagation Kernels. CoRR (2014)
Yifei Ma, Roman Garnett, Jeff G. Schneider
Active Area Search via Bayesian Quadrature. AISTATS (2014)
Richard P. Mann, Andrea Perna, Daniel Strömbom, Roman Garnett, James E. Herbert-Read, David J. T. Sumpter, Ashley J. W. Ward
Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection. PLoS Comput. Biol. 9 (3) (2013)
Xuezhi Wang, Roman Garnett, Jeff G. Schneider
Active search on graphs. KDD (2013)
Yifei Ma, Roman Garnett, Jeff G. Schneider
Σ-Optimality for Active Learning on Gaussian Random Fields. NIPS (2013)
Marion Neumann, Roman Garnett, Kristian Kersting
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. ACML (2013)
Roman Garnett, Michael A. Osborne, Philipp Hennig
Active Learning of Linear Embeddings for Gaussian Processes. CoRR (2013)
Michael A. Osborne, David Duvenaud, Roman Garnett, Carl E. Rasmussen, Stephen J. Roberts, Zoubin Ghahramani
Active Learning of Model Evidence Using Bayesian Quadrature. NIPS (2012)
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann
Bayesian Optimal Active Search and Surveying. ICML (2012)
Yifei Ma, Roman Garnett, Jeff G. Schneider
Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields CoRR (2012)
Richard P. Mann, Andrea Perna, Daniel Strömbom, Roman Garnett, James E. Herbert-Read, David J. T. Sumpter, Ashley J. W. Ward
Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection. PLoS Comput. Biol. 8 (1) (2012)
Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson
Bayesian Quadrature for Ratios. AISTATS (2012)
Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas
Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults. AAAI (2012)
Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting
Efficient Graph Kernels by Randomization. ECML/PKDD (1) (2012)
Roman Garnett, Michael A. Osborne, Stephen J. Roberts
Bayesian optimization for sensor set selection. IPSN (2010)
Michael A. Osborne, Roman Garnett, Stephen J. Roberts
Active Data Selection for Sensor Networks with Faults and Changepoints. AINA (2010)
D. R. Lowne, Stephen J. Roberts, Roman Garnett
Sequential non-stationary dynamic classification with sparse feedback. Pattern Recognit. 43 (3) (2010)
Roman Garnett, Michael A. Osborne, Steven Reece, Alex Rogers, Stephen J. Roberts
Sequential Bayesian Prediction in the Presence of Changepoints and Faults. Comput. J. 53 (9) (2010)
Roman Garnett, Michael A. Osborne, Stephen J. Roberts
Sequential Bayesian prediction in the presence of changepoints. ICML (2009)
Roman Garnett, Timothy Huegerich, Charles K. Chui, Wenjie He
A universal noise removal algorithm with an impulse detector. IEEE Trans. Image Process. 14 (11) (2005)