Roman Garnett

Affiliations:
  • Washington University in Saint Louis, MO, USA


According to our database1, Roman Garnett authored at least 67 papers between 2005 and 2023.

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Bibliography

2023
A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias.
IEEE Trans. Vis. Comput. Graph., 2023

The Behavior and Convergence of Local Bayesian Optimization.
CoRR, 2023

Human-Computer Collaboration for Visual Analytics: an Agent-based Framework.
CoRR, 2023

The Behavior and Convergence of Local Bayesian Optimization.
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.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A Visual Active Search Framework for Geospatial Exploration.
CoRR, 2022

Nonmyopic Multiclass Active Search for Diverse Discovery.
CoRR, 2022

Guided Data Discovery in Interactive Visualizations via Active Search.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Local Bayesian optimization via maximizing probability of descent.
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.
IEEE Trans. Vis. Comput. Graph., 2021

Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search.
J. Chem. Inf. Model., 2021

Nonmyopic Multifidelity Active Search.
CoRR, 2021

Nonmyopic Multifidelity Acitve Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Scarce Societal Resource Allocation and the Price of (Local) Justice.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search.
CoRR, 2020

GPIRT: A Gaussian Process Model for Item Response Theory.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Efficient nonmyopic Bayesian optimization and quadrature.
CoRR, 2019

Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis.
Comput. Graph. Forum, 2019

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cost Effective Active Search.
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.
Proceedings of the 36th International Conference on Machine Learning, 2019

Improving Quadrature for Constrained Integrands.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Efficient nonmyopic active search with applications in drug and materials discovery.
CoRR, 2018

Learning and Anticipating Future Actions During Exploratory Data Analysis.
CoRR, 2018

An Improved Bayesian Framework for Quadrature of Constrained Integrands.
CoRR, 2018

Automating Bayesian optimization with Bayesian optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient nonmyopic batch active search.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Efficient Nonmyopic Active Search.
Proceedings of the 34th International Conference on Machine Learning, 2017

Cooperative Set Function Optimization Without Communication or Coordination.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Discovering and Exploiting Additive Structure for Bayesian Optimization.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Active Search in Intensionally Specified Structured Spaces.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Active Search for Sparse Signals with Region Sensing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Propagation kernels: efficient graph kernels from propagated information.
Mach. Learn., 2016

Exact Sampling from Determinantal Point Processes.
CoRR, 2016

Bayesian optimization for automated model selection.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Introducing the 'active search' method for iterative virtual screening.
J. Comput. Aided Mol. Des., 2015

Bayesian Active Model Selection with an Application to Automated Audiometry.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Differentially Private Bayesian Optimization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Finding Galaxies in the Shadows of Quasars with Gaussian Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Active Pointillistic Pattern Search.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Propagation Kernels.
CoRR, 2014

Active Learning of Linear Embeddings for Gaussian Processes.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature.
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.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Active Area Search via Bayesian Quadrature.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Power Iterated Color Refinement.
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.
PLoS Comput. Biol., 2013

Σ-Optimality for Active Learning on Gaussian Random Fields.
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.
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.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Bayesian Quadrature for Ratios.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields
CoRR, 2012

Efficient Graph Kernels by Randomization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Active Learning of Model Evidence Using Bayesian Quadrature.
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.
Proceedings of the 29th International Conference on Machine Learning, 2012

Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
Learning from data streams with concept drift.
PhD thesis, 2010

Sequential non-stationary dynamic classification with sparse feedback.
Pattern Recognit., 2010

Sequential Bayesian Prediction in the Presence of Changepoints and Faults.
Comput. J., 2010

Bayesian optimization for sensor set selection.
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

Active Data Selection for Sensor Networks with Faults and Changepoints.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010

2009
Sequential Bayesian prediction in the presence of changepoints.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2005
A universal noise removal algorithm with an impulse detector.
IEEE Trans. Image Process., 2005


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