Roman Garnett

According to our database, Roman Garnett authored at least 70 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Idiographic Personality Gaussian Process for Psychological Assessment.

Yehu Chen, Muchen Xi, Jacob M. Montgomery, Joshua Jackson, Roman Garnett

CoRR, 2024

Amortized nonmyopic active search via deep imitation learning.

Quan Nguyen, Anindya Sarkar, Roman Garnett

CoRR, 2024

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Greedy Approximation for k-Determinantal Point Processes.

Julia Grosse, Rahel Fischer, Roman Garnett, Philipp Hennig

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Human-Computer Collaboration for Visual Analytics: an Agent-based Framework.

Shayan Monadjemi, Mengtian Guo, David Gotz, Roman Garnett, Alvitta Ottley

Comput. Graph. Forum, June, 2023

A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias.

Sunwoo Ha, Shayan Monadjemi, Roman Garnett, Alvitta Ottley

IEEE Trans. Vis. Comput. Graph., 2023

The Behavior and Convergence of Local Bayesian Optimization.

Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery.

Quan Nguyen, Roman Garnett

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data.

Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

CoRR, 2022

Nonmyopic Multiclass Active Search for Diverse Discovery.

Quan Nguyen, Roman Garnett

CoRR, 2022

Guided Data Discovery in Interactive Visualizations via Active Search.

Shayan Monadjemi, Sunwoo Ha, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Local Bayesian optimization via maximizing probability of descent.

Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection.

Shayan Monadjemi, Roman Garnett, Alvitta Ottley

IEEE Trans. Vis. Comput. Graph., 2021

Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search.

Fatemah Mukadum, Quan Nguyen, Daniel M. Adrion, Gabriel Appleby, Rui Chen, Haley Dang, Remco Chang, Roman Garnett, Steven A. Lopez

J. Chem. Inf. Model., 2021

Nonmyopic Multifidelity Active Search.

Quan Nguyen, Arghavan Modiri, Roman Garnett

CoRR, 2021

Nonmyopic Multifidelity Acitve Search.

Quan Nguyen, Arghavan Modiri, Roman Garnett

Proceedings of the 38th International Conference on Machine Learning, 2021

Scarce Societal Resource Allocation and the Price of (Local) Justice.

Quan Nguyen, Sanmay Das, Roman Garnett

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search.

Shayan Monadjemi, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley

CoRR, 2020

GPIRT: A Gaussian Process Model for Item Response Theory.

JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees.

Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BINOCULARS for efficient, nonmyopic sequential experimental design.

Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Efficient nonmyopic Bayesian optimization and quadrature.

Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett

CoRR, 2019

Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis.

Alvitta Ottley, Roman Garnett, Ran Wan

Comput. Graph. Forum, 2019

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs.

Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cost Effective Active Search.

Shali Jiang, Roman Garnett, Benjamin Moseley

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Automated Model Selection with Bayesian Quadrature.

Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett

Proceedings of the 36th International Conference on Machine Learning, 2019

Improving Quadrature for Constrained Integrands.

Henry R. Chai, Roman Garnett

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Efficient nonmyopic active search with applications in drug and materials discovery.

Shali Jiang, Gustavo Malkomes, Benjamin Moseley, Roman Garnett

CoRR, 2018

Learning and Anticipating Future Actions During Exploratory Data Analysis.

Ran Wan, Roman Garnett, Alvitta Ottley

CoRR, 2018

An Improved Bayesian Framework for Quadrature of Constrained Integrands.

Henry Chai, Roman Garnett

CoRR, 2018

Automating Bayesian optimization with Bayesian optimization.

Gustavo Malkomes, Roman Garnett

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient nonmyopic batch active search.

Shali Jiang, Gustavo Malkomes, Matthew Abbott, Benjamin Moseley, Roman Garnett

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Efficient Nonmyopic Active Search.

Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett

Proceedings of the 34th International Conference on Machine Learning, 2017

Cooperative Set Function Optimization Without Communication or Coordination.

Gustavo Malkomes, Kefu Lu, Blakeley Hoffman, Roman Garnett, Benjamin Moseley, Richard P. Mann

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Discovering and Exploiting Additive Structure for Bayesian Optimization.

Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Active Search in Intensionally Specified Structured Spaces.

Dino Oglic, Roman Garnett, Thomas Gärtner

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Active Search for Sparse Signals with Region Sensing.

Yifei Ma, Roman Garnett, Jeff G. Schneider

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Propagation kernels: efficient graph kernels from propagated information.

Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting

Mach. Learn., 2016

Exact Sampling from Determinantal Point Processes.

Philipp Hennig, Roman Garnett

CoRR, 2016

Bayesian optimization for automated model selection.

Gustavo Malkomes, Chip Schaff, Roman Garnett

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces.

Shane Carr, Roman Garnett, Cynthia Lo

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Introducing the 'active search' method for iterative virtual screening.

Roman Garnett, Thomas Gärtner, Martin Vogt, Jürgen Bajorath

J. Comput. Aided Mol. Des., 2015

Bayesian Active Model Selection with an Application to Automated Audiometry.

Jacob R. Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Differentially Private Bayesian Optimization.

Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger

Proceedings of the 32nd International Conference on Machine Learning, 2015

Finding Galaxies in the Shadows of Quasars with Gaussian Processes.

Roman Garnett, Shirley Ho, Jeff G. Schneider

Proceedings of the 32nd International Conference on Machine Learning, 2015

Active Pointillistic Pattern Search.

Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Propagation Kernels.

Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting

CoRR, 2014

Active Learning of Linear Embeddings for Gaussian Processes.

Roman Garnett, Michael A. Osborne, Philipp Hennig

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature.

Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Predicting unexpected influxes of players in EVE online.

Roman Garnett, Thomas Gärtner, Timothy Ellersiek, Eyjolfur Gudmondsson, Petur Oskarsson

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Active Area Search via Bayesian Quadrature.

Yifei Ma, Roman Garnett, Jeff G. Schneider

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Power Iterated Color Refinement.

Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection.

Richard P. Mann, Andrea Perna, Daniel Strömbom, Roman Garnett, James E. Herbert-Read, David J. T. Sumpter, Ashley J. W. Ward

PLoS Comput. Biol., 2013

Σ-Optimality for Active Learning on Gaussian Random Fields.

Yifei Ma, Roman Garnett, Jeff G. Schneider

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Active search on graphs.

Xuezhi Wang, Roman Garnett, Jeff G. Schneider

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels.

Marion Neumann, Roman Garnett, Kristian Kersting

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Bayesian Quadrature for Ratios.

Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields

Yifei Ma, Roman Garnett, Jeff G. Schneider

CoRR, 2012

Efficient Graph Kernels by Randomization.

Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Active Learning of Model Evidence Using Bayesian Quadrature.

Michael A. Osborne, David Duvenaud, Roman Garnett, Carl E. Rasmussen, Stephen J. Roberts, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Bayesian Optimal Active Search and Surveying.

Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann

Proceedings of the 29th International Conference on Machine Learning, 2012

Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults.

Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010

Learning from data streams with concept drift.

Roman Garnett

PhD thesis, 2010

Sequential non-stationary dynamic classification with sparse feedback.

D. R. Lowne, Stephen J. Roberts, Roman Garnett

Pattern Recognit., 2010

Sequential Bayesian Prediction in the Presence of Changepoints and Faults.

Roman Garnett, Michael A. Osborne, Steven Reece, Alex Rogers, Stephen J. Roberts

Comput. J., 2010

Bayesian optimization for sensor set selection.

Roman Garnett, Michael A. Osborne, Stephen J. Roberts

Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

Active Data Selection for Sensor Networks with Faults and Changepoints.

Michael A. Osborne, Roman Garnett, Stephen J. Roberts

Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010

2009

Sequential Bayesian prediction in the presence of changepoints.

Roman Garnett, Michael A. Osborne, Stephen J. Roberts

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2005

A universal noise removal algorithm with an impulse detector.

Roman Garnett, Timothy Huegerich, Charles K. Chui, Wenjie He

IEEE Trans. Image Process., 2005