A universal noise removal algorithm with an impulse detector. - Roman Garnett; Timothy Huegerich; Charles K. Chui; Wenjie He (IEEE Trans. Image Process., 2005)

Sequential Bayesian prediction in the presence of changepoints. - Roman Garnett; Michael A. Osborne; Stephen J. Roberts (ICML, 2009)

Active Data Selection for Sensor Networks with Faults and Changepoints. - Michael A. Osborne; Roman Garnett; Stephen J. Roberts (AINA, 2010)

Bayesian optimization for sensor set selection. - Roman Garnett; Michael A. Osborne; Stephen J. Roberts (IPSN, 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)

Sequential non-stationary dynamic classification with sparse feedback. - D. R. Lowne; Stephen J. Roberts; Roman Garnett (Pattern Recognit., 2010)

Learning from data streams with concept drift. - Roman Garnett (2010)

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

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

Active Learning of Model Evidence Using Bayesian Quadrature. - Michael A. Osborne; David Duvenaud; Roman Garnett; Carl E. Rasmussen; Stephen J. Roberts; Zoubin Ghahramani (NIPS, 2012)

Efficient Graph Kernels by Randomization. - Marion Neumann; Novi Patricia; Roman Garnett; Kristian Kersting (ECML/PKDD (1), 2012)

Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields - Yifei Ma; Roman Garnett; Jeff G. Schneider (CoRR, 2012)

Bayesian Quadrature for Ratios. - Michael A. Osborne; Roman Garnett; Stephen J. Roberts; Christopher Hart; Suzanne Aigrain; Neale Gibson (AISTATS, 2012)

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

Active search on graphs. - Xuezhi Wang 002; Roman Garnett; Jeff G. Schneider (KDD, 2013)

Σ-Optimality for Active Learning on Gaussian Random Fields. - Yifei Ma; Roman Garnett; Jeff G. Schneider (NIPS, 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)

Power Iterated Color Refinement. - Kristian Kersting; Martin Mladenov; Roman Garnett; Martin Grohe (AAAI, 2014)

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

Predicting unexpected influxes of players in EVE online. - Roman Garnett; Thomas Gärtner 001; Timothy Ellersiek; Eyjolfur Gudmondsson; Petur Oskarsson (CIG, 2014)

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

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

Propagation Kernels. - Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting (CoRR, 2014)

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

Finding Galaxies in the Shadows of Quasars with Gaussian Processes. - Roman Garnett; Shirley Ho; Jeff G. Schneider (ICML, 2015)

Differentially Private Bayesian Optimization. - Matt J. Kusner; Jacob R. Gardner; Roman Garnett; Kilian Q. Weinberger (ICML, 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 (NIPS, 2015)

Introducing the 'active search' method for iterative virtual screening. - Roman Garnett; Thomas Gärtner 001; Martin Vogt 001; Jürgen Bajorath (J. Comput. Aided Mol. Des., 2015)

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

Bayesian optimization for automated model selection. - Gustavo Malkomes; Chip Schaff; Roman Garnett (AutoML@ICML, 2016)

Exact Sampling from Determinantal Point Processes. - Philipp Hennig; Roman Garnett (CoRR, 2016)

Propagation kernels: efficient graph kernels from propagated information. - Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting (Mach. Learn., 2016)

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 001 (AAAI, 2017)

Discovering and Exploiting Additive Structure for Bayesian Optimization. - Jacob R. Gardner; Chuan Guo 001; Kilian Q. Weinberger; Roman Garnett; Roger B. Grosse (AISTATS, 2017)

Cooperative Set Function Optimization Without Communication or Coordination. - Gustavo Malkomes; Kefu Lu; Blakeley Hoffman; Roman Garnett; Benjamin Moseley; Richard P. Mann (AAMAS, 2017)

Efficient Nonmyopic Active Search. - Shali Jiang 001; Gustavo Malkomes; Geoff Converse; Alyssa Shofner; Benjamin Moseley; Roman Garnett (ICML, 2017)

Efficient nonmyopic batch active search. - Shali Jiang 001; Gustavo Malkomes; Matthew Abbott; Benjamin Moseley; Roman Garnett (NeurIPS, 2018)

Automating Bayesian optimization with Bayesian optimization. - Gustavo Malkomes; Roman Garnett (NeurIPS, 2018)

An Improved Bayesian Framework for Quadrature of Constrained Integrands. - Henry Chai; Roman Garnett (CoRR, 2018)

Learning and Anticipating Future Actions During Exploratory Data Analysis. - Ran Wan; Roman Garnett; Alvitta Ottley (CoRR, 2018)

Efficient nonmyopic active search with applications in drug and materials discovery. - Shali Jiang 001; Gustavo Malkomes; Benjamin Moseley; Roman Garnett (CoRR, 2018)

Improving Quadrature for Constrained Integrands. - Henry R. Chai; Roman Garnett (AISTATS, 2019)

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

Cost Effective Active Search. - Shali Jiang 001; Roman Garnett; Benjamin Moseley (NeurIPS, 2019)

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. - Muhan Zhang; Shali Jiang 001; Zhicheng Cui; Roman Garnett; Yixin Chen 001 (NeurIPS, 2019)

Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis. - Alvitta Ottley; Roman Garnett; Ran Wan (Comput. Graph. Forum, 2019)

Efficient nonmyopic Bayesian optimization and quadrature. - Shali Jiang 001; Henry Chai; Javier Gonzalez; Roman Garnett (CoRR, 2019)

BINOCULARS for efficient, nonmyopic sequential experimental design. - Shali Jiang 001; Henry Chai; Javier Gonzalez; Roman Garnett (ICML, 2020)

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. - Shali Jiang 001; Daniel R. Jiang; Maximilian Balandat; Brian Karrer; Jacob R. Gardner; Roman Garnett (NeurIPS, 2020)

GPIRT: A Gaussian Process Model for Item Response Theory. - JBrandon Duck-Mayr; Roman Garnett; Jacob M. Montgomery (UAI, 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)

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

Nonmyopic Multifidelity Acitve Search. - Quan Nguyen; Arghavan Modiri; Roman Garnett (ICML, 2021)

Nonmyopic Multifidelity Active Search. - Quan Nguyen; Arghavan Modiri; Roman Garnett (CoRR, 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)

Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection. - Shayan Monadjemi; Roman Garnett; Alvitta Ottley (IEEE Trans. Vis. Comput. Graph., 2021)

Local Bayesian optimization via maximizing probability of descent. - Quan Nguyen; Kaiwen Wu; Jacob R. Gardner; Roman Garnett (NeurIPS, 2022)

Guided Data Discovery in Interactive Visualizations via Active Search. - Shayan Monadjemi; Sunwoo Ha; Quan Nguyen; Henry Chai; Roman Garnett; Alvitta Ottley (IEEE VIS (Short Papers), 2022)

Nonmyopic Multiclass Active Search for Diverse Discovery. - Quan Nguyen; Roman Garnett (CoRR, 2022)

A Visual Active Search Framework for Geospatial Exploration. - Anindya Sarkar; Michael Lanier; Scott Alfeld; Roman Garnett; Nathan Jacobs; Yevgeniy Vorobeychik (CoRR, 2022)

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

Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. - Quan Nguyen; Roman Garnett (AISTATS, 2023)

The Behavior and Convergence of Local Bayesian Optimization. - Kaiwen Wu; Kyurae Kim; Roman Garnett; Jacob R. Gardner (NeurIPS, 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)

Human-Computer Collaboration for Visual Analytics: an Agent-based Framework. - Shayan Monadjemi; Mengtian Guo; David Gotz; Roman Garnett; Alvitta Ottley (Comput. Graph. Forum, 2023)

A Greedy Approximation for k-Determinantal Point Processes. - Julia Grosse; Rahel Fischer; Roman Garnett; Philipp Hennig (AISTATS, 2024)

Idiographic Personality Gaussian Process for Psychological Assessment. - Yehu Chen; Muchen Xi; Joshua Jackson; Jacob M. Montgomery; Roman Garnett (NeurIPS, 2024)

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

Amortized nonmyopic active search via deep imitation learning. - Quan Nguyen; Anindya Sarkar; Roman Garnett (CoRR, 2024)

hetGPy: Heteroskedastic Gaussian Process Modeling in Python. - David O'Gara; Mickaël Binois; Roman Garnett; Ross A. Hammond (J. Open Source Softw., 2025)

A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model. - Yehu Chen; Jacob M. Montgomery; Roman Garnett (CoRR, 2025)