R. Garnett

发表

Active search on graphs

Roman Garnett, Jeff G. Schneider, Xuezhi Wang, 2013, KDD.

Gaussian Processes for Global Optimization

Michael A. Osborne, R. Garnett, S. Roberts, 2008 .

Differentially Private Learning of Structured Discrete Distributions

R. Garnett, Masashi Sugiyama, C. Cortes, 2015 .

Predicting unexpected influxes of players in EVE online

Roman Garnett, Thomas Gärtner, Timothy Ellersiek, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Active Structure Discovery for Gaussian Processes

R. Garnett, Gustavo Malkomes, 2015 .

Active Learning of Model Evidence Using Bayesian Quadrature

Carl E. Rasmussen, Roman Garnett, Zoubin Ghahramani, 2012, NIPS.

Bayesian Optimal Active Search and Surveying

Roman Garnett, Jeff G. Schneider, Richard P. Mann, 2012, ICML.

Bayesian Optimal Active Search on Graphs

J. Schneider, R. Garnett, Yamuna Krishnamurthy, 2011 .

Bayesian optimization for sensor set selection

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2010, IPSN '10.

Σ-Optimality for Active Learning on Gaussian Random Fields

Roman Garnett, Jeff G. Schneider, Yifei Ma, 2013, NIPS.

Active Search for Sparse Signals with Region Sensing

Roman Garnett, Jeff G. Schneider, Yifei Ma, 2016, AAAI.

Active Pointillistic Pattern Search

Roman Garnett, Jeff G. Schneider, Yifei Ma, 2015, AISTATS.

Differentially Private Bayesian Optimization

Roman Garnett, Matt J. Kusner, Kilian Q. Weinberger, 2015, ICML.

Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling

Tong Zhang, R. Garnett, Peter Richtárik, 2015, NIPS.

Balancing information exposure in social networks

Venkata Rama Kiran Garimella, R. Fergus, S. Vishwanathan, 2017, NIPS.

New analysis pipeline for high-throughput domain–peptide affinity experiments improves SH2 interaction data

R. Garnett, Tom Ronan, K. Naegle, 2020, The Journal of Biological Chemistry.

Learning to Construct Novel Structures

R. Garnett, G. Thomas, Dino Oglic, 2012 .

Sequential Gaussian Process Prediction in the Presence of Changepoints or Faults

Michael A. Osborne, R. Garnett, S. Roberts, 2009 .

Psychometric function estimation by probabilistic classification.

Roman Garnett, Xinyu D Song, Dennis L Barbour, 2017, The Journal of the Acoustical Society of America.

Active Search for Computer‐aided Drug Design

Roman Garnett, Thomas Gärtner, Dino Oglic, 2018, Molecular informatics.

Constructing Cocktails from a Cocktail Map

R. Garnett, T. Gärtner, Daniel Paurat, 2013 .

Gaussian Processes for Global Optimization

Michael A. Osborne, R. Garnett, S. Roberts, 2008 .

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

R. Garnett, D. Sumpter, A. Perna, 2012, PLoS Comput. Biol..

Guided Data Discovery in Interactive Visualizations via Active Search

R. Garnett, Henry Chai, Alvitta Ottley, 2020, 2022 IEEE Visualization and Visual Analytics (VIS).

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

R. Garnett, Alvitta Ottley, S. Monadjemi, 2022, IEEE Transactions on Visualization and Computer Graphics.

Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery

R. Garnett, Quan Nguyen, 2022, 2202.03593.

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

Roman Garnett, Muhan Zhang, Yixin Chen, 2019, NeurIPS.

GPIRT: A Gaussian Process Model for Item Response Theory

R. Garnett, J. Montgomery, JBrandon Duck-Mayr, 2020, UAI.

BINOCULARS for efficient, nonmyopic sequential experimental design

Roman Garnett, Shali Jiang, Javier Gonzalez, 2019, ICML.

Automated Model Selection with Bayesian Quadrature

Roman Garnett, Michael A. Osborne, Jean-Francois Ton, 2019, ICML.

Improving Quadrature for Constrained Integrands

Roman Garnett, Henry Chai, R. Garnett, 2018, AISTATS.

An Improved Bayesian Framework for Quadrature

Roman Garnett, Henry Chai, R. Garnett, 2017 .

Exact Sampling from Determinantal Point Processes pdf

Roman Garnett, Philipp Hennig, R. Garnett, 2016, ArXiv.

Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2014, NIPS.

The Mixing Thermodynamics and Local Structure of High-entropy Alloys from Randomly Sampled Ordered Configurations

R. Garnett, E. Toberer, Andrew M. Novick, 2022, 2211.13066.

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

Roman Garnett, Alvitta Ottley, Ran Wan, 2019, Comput. Graph. Forum.

Learning and Anticipating Future Actions During Exploratory Data Analysis pdf

Roman Garnett, Alvitta Ottley, Ran Wan, 2018, ArXiv.

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

R. Garnett, Steven A. Lopez, Rui Chen, 2021, J. Chem. Inf. Model..

A comparison of prediction approaches for identifying prodromal Parkinson disease

R. Garnett, B. Racette, S. Searles Nielsen, 2021, PloS one.

Sequential Bayesian Prediction in the Presence of Changepoints and Faults

Steven Reece, Roman Garnett, Stephen J. Roberts, 2010, Comput. J..

Sequential Bayesian prediction in the presence of changepoints

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2009, ICML '09.

Learning from data streams with concept drift

Roman Garnett, Stephen J. Roberts, R. Garnett, 2008 .

Bayesian optimization for automated model selection

Roman Garnett, Gustavo Malkomes, Chip Schaff, 2016, NIPS.

Anomaly Detection and Removal Using Non-Stationary Gaussian Processes

Michael A. Osborne, R. Garnett, S. Roberts, 2015, 1507.00566.

Efficient nonmyopic Bayesian optimization and quadrature pdf

Roman Garnett, Shali Jiang, Javier González, 2019, ArXiv.

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

Roman Garnett, Gustavo Malkomes, Benjamin Moseley, 2018, ArXiv.

Automating Bayesian optimization with Bayesian optimization

Roman Garnett, Gustavo Malkomes, R. Garnett, 2018, NeurIPS.

Efficient nonmyopic batch active search

Roman Garnett, Gustavo Malkomes, Benjamin Moseley, 2018, NeurIPS.

Bayesian Quadrature for Ratios

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2012, AISTATS.

Bayesian Quadrature for Ratios: Now With Even More Bayesian Quadrature

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2012 .

Gaussian processes for prediction of homing pigeon flight trajectories

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2009 .

A universal noise removal algorithm with an impulse detector

Charles K. Chui, Wenjie He, R. Garnett, 2005, IEEE Transactions on Image Processing.

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

Roman Garnett, Shane Carr, Cynthia Lo, 2016, ICML.

Variational Dropout and the Local Reparameterization Trick

Diederik P. Kingma, Neil D. Lawrence, M. Welling, 2015, NIPS.

Objectively identifying landmark use and predicting flight trajectories of the homing pigeon using Gaussian processes

Roman Garnett, Stephen Roberts, Dora Biro, 2010, Journal of The Royal Society Interface.

Discovering and Exploiting Additive Structure for Bayesian Optimization

Roman Garnett, Kilian Q. Weinberger, Roger B. Grosse, 2017, AISTATS.

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance

Roman Garnett, Ricardo H. C. Takahashi, Rumi Chunara, 2011, Emerging health threats journal.

Active Area Search via Bayesian Quadrature

Roman Garnett, Jeff G. Schneider, Yifei Ma, 2014, AISTATS.

The entropic basis of collective behaviour

Roman Garnett, Richard P. Mann, R. Garnett, 2014, Journal of The Royal Society Interface.

Damped Lyman-α absorbers from Sloan digital sky survey DR16Q with Gaussian processes

R. Garnett, S. Bird, M. Ho, 2021, 2103.10964.

Propagation kernels: efficient graph kernels from propagated information

R. Garnett, K. Kersting, C. Bauckhage, 2016, Machine Learning.

Bayesian Active Model Selection with an Application to Automated Audiometry

Roman Garnett, Gustavo Malkomes, Kilian Q. Weinberger, 2015, NIPS.

Conjoint psychometric field estimation for bilateral audiometry

Roman Garnett, Xinyu D Song, Kiron A Sukesan, 2018, Behavior Research Methods.

Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults

Roman Garnett, Nando de Freitas, Michael A. Osborne, 2012, AAAI.

A Machine Learning Approach to Pattern Detection and Prediction for Environmental Monitoring and Water Sustainability

Roman Garnett, Nando de Freitas, Kevin Swersky, 2011 .

Local Bayesian optimization via maximizing probability of descent

R. Garnett, Kaiwen Wu, Quan Nguyen, 2022, NeurIPS.

The Behavior and Convergence of Local Bayesian Optimization

R. Garnett, Kaiwen Wu, Kyurae Kim, 2023, ArXiv.

Automated measurement of quasar redshift with a Gaussian process

R. Garnett, C. Shelton, S. Bird, 2020, Monthly Notices of the Royal Astronomical Society.

Detecting multiple DLAs per spectrum in SDSS DR12 with Gaussian processes

R. Garnett, S. Bird, M. Ho, 2020, 2003.11036.

Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping

Roman Garnett, Kristian Kersting, Plinio Moreno, 2013, MLG 2013.

Statistical properties of damped Lyman-alpha systems from Sloan Digital Sky Survey DR12

R. Garnett, S. Ho, S. Bird, 2016, 1610.01165.

Active Learning of Linear Embeddings for Gaussian Processes pdf

Roman Garnett, Michael A. Osborne, Philipp Hennig, 2013, UAI.

A Visual Active Search Framework for Geospatial Exploration

R. Garnett, Scott Alfeld, Nathan Jacobs, 2022, ArXiv.

Polls, Context, and Time: A Dynamic Hierarchical Bayesian Forecasting Model for US Senate Elections

R. Garnett, J. Montgomery, Yehua Chen, 2022, Political Analysis.

Nonmyopic Multifidelity Active Search pdf

Roman Garnett, Arghavan Modiri, Quan Nguyen, 2021, ArXiv.

Efficient Nonmyopic Active Search

Roman Garnett, Gustavo Malkomes, Benjamin Moseley, 2017, ICML.

Supplementary Material for Efficient Nonmyopic Active Search

Geoffrey A. Converse, R. Garnett, Benjamin Moseley, 2017 .

Cost Effective Active Search

Roman Garnett, Benjamin Moseley, Shali Jiang, 2019, NeurIPS.

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

Roman Garnett, Brian Karrer, Maximilian Balandat, 2020, NeurIPS.

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

Roman Garnett, Sanmay Das, Quan Nguyen, 2021, AAAI.

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

R. Garnett, J. Montgomery, A. Prati, 2023 .

Bioinspired polarization vision enables underwater geolocalization

Roman Garnett, Viktor Gruev, Charbel G. Rizk, 2018, Science Advances.

Efficient Graph Kernels by Randomization

Roman Garnett, Kristian Kersting, Marion Neumann, 2012, ECML/PKDD.

Power Iterated Color Refinement

Roman Garnett, Kristian Kersting, Martin Grohe, 2014, AAAI.

Active Search in Intensionally Specified Structured Spaces

Roman Garnett, Thomas Gärtner, Dino Oglic, 2017, AAAI.

Propagation Kernels pdf

Roman Garnett, Christian Bauckhage, Kristian Kersting, 2014, ArXiv.

cient Graph Kernels by Randomization

R. Garnett, K. Kersting, Marion Neumann, 2012 .

Accelerating the search for global minima on potential energy surfaces using machine learning.

R. Garnett, R. Garnett, C. Lo, 2016, The Journal of chemical physics.

New analysis pipeline for high-throughput domain–peptide affinity experiments improves SH2 interaction data

Roman Garnett, Tom Ronan, Kristen M. Naegle, 2020, The Journal of Biological Chemistry.

Active Data Selection for Sensor Networks with Faults and Changepoints

Roman Garnett, Stephen J. Roberts, Michael A. Osborne, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

Introducing the ‘active search’ method for iterative virtual screening

Roman Garnett, Thomas Gärtner, Jürgen Bajorath, 2015, Journal of Computer-Aided Molecular Design.

Nonmyopic Multiclass Active Search for Diverse Discovery

R. Garnett, Quan Nguyen, 2022, ArXiv.

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

Roman Garnett, Alvitta Ottley, Shayan Monadjemi, 2020, IEEE Transactions on Visualization and Computer Graphics.

Detecting damped Ly α absorbers with Gaussian processes

Roman Garnett, Jeff Schneider, Shirley Ho, 2016, 1605.04460.

Cooperative Set Function Optimization Without Communication or Coordination

Roman Garnett, Gustavo Malkomes, Benjamin Moseley, 2017, AAMAS.

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

Roman Garnett, David J. T. Sumpter, Richard P. Mann, 2012, PLoS Comput. Biol..

Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults

Nando de Freitas, Michael A. Osborne, R. Garnett, 2012, AAAI.

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

Roman Garnett, Kristian Kersting, Marion Neumann, 2013, ACML.

Simulating high-entropy alloys at finite temperatures: An uncertainty-based approach

R. Garnett, E. Toberer, Quan Nguyen, 2023, Physical Review Materials.

Mining intensive care vitals for leading indicators of adverse health events

R. Garnett, M. Fiterau, Rajas Lonkar, 2011 .

A Visual Active Search Framework for Geospatial Exploration

R. Garnett, Scott Alfeld, Nathan Jacobs, 2022, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).