Roman Garnett - RankMe

94 papers A* 25A 12B 1C 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model. CoRR Yehu Chen, Jacob M. Montgomery, Roman Garnett
2025	—	`ed.`	Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 8-11 September 2025, Cornell Tech, New York, NY, USA AutoML Leman Akoglu, Carola Doerr, Jan N. van Rijn, Roman Garnett, Jacob R. Gardner
2025	J	`jnl`	hetGPy: Heteroskedastic Gaussian Process Modeling in Python. J. Open Source Softw. David O'Gara, Mickaël Binois, Roman Garnett, Ross A. Hammond
2024	A	`conf`	A Greedy Approximation for k-Determinantal Point Processes. AISTATS Julia Grosse, Rahel Fischer, Roman Garnett, Philipp Hennig
2024	A	`conf`	A Visual Active Search Framework for Geospatial Exploration. WACV Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	Amortized nonmyopic active search via deep imitation learning. CoRR Quan Nguyen, Anindya Sarkar, Roman Garnett
2024	A*	`conf`	Idiographic Personality Gaussian Process for Psychological Assessment. NeurIPS Yehu Chen, Muchen Xi, Joshua Jackson, Jacob M. Montgomery, Roman Garnett
2024	J	`jnl`	Idiographic Personality Gaussian Process for Psychological Assessment. CoRR Yehu Chen, Muchen Xi, Jacob M. Montgomery, Joshua Jackson, Roman Garnett
2024	—	`ed.`	International Conference on Automated Machine Learning, 9-12 September 2024, Sorbonne Université, Paris, France. AutoML Katharina Eggensperger, Roman Garnett, Joaquin Vanschoren, Marius Lindauer, Jacob R. Gardner
2023	A	`conf`	A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data. AISTATS Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett
2023	J	`jnl`	A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias. IEEE Trans. Vis. Comput. Graph. Sunwoo Ha, Shayan Monadjemi, Roman Garnett, Alvitta Ottley
2023	J	`jnl`	Human-Computer Collaboration for Visual Analytics: an Agent-based Framework. Comput. Graph. Forum Shayan Monadjemi, Mengtian Guo, David Gotz, Roman Garnett, Alvitta Ottley
2023	J	`jnl`	Human-Computer Collaboration for Visual Analytics: an Agent-based Framework. CoRR Shayan Monadjemi, Mengtian Guo, David Gotz, Roman Garnett, Alvitta Ottley
2023	—	`ed.`	International Conference on Automated Machine Learning, 12-15 November 2023, Hasso Plattner Institute, Potsdam, Germany. AutoML Aleksandra Faust, Roman Garnett, Colin White, Frank Hutter, Jacob R. Gardner
2023	A	`conf`	Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. AISTATS Quan Nguyen, Roman Garnett
2023	A*	`conf`	The Behavior and Convergence of Local Bayesian Optimization. NeurIPS Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
2023	J	`jnl`	The Behavior and Convergence of Local Bayesian Optimization. CoRR Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
2022	J	`jnl`	A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias. CoRR Sunwoo Ha, Shayan Monadjemi, Roman Garnett, Alvitta Ottley
2022	J	`jnl`	A Visual Active Search Framework for Geospatial Exploration. CoRR Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
2022	—	`conf`	Guided Data Discovery in Interactive Visualizations via Active Search. IEEE VIS (Short Papers) Shayan Monadjemi, Sunwoo Ha, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley
2022	—	`ed.`	International Conference on Automated Machine Learning, AutoML 2022, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA. AutoML Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett
2022	A*	`conf`	Local Bayesian optimization via maximizing probability of descent. NeurIPS Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
2022	J	`jnl`	Local Bayesian optimization via maximizing probability of descent. CoRR Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
2022	J	`jnl`	Nonmyopic Multiclass Active Search for Diverse Discovery. CoRR Quan Nguyen, Roman Garnett
2021	J	`jnl`	Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection. IEEE Trans. Vis. Comput. Graph. Shayan Monadjemi, Roman Garnett, Alvitta Ottley
2021	J	`jnl`	Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search. J. Chem. Inf. Model. Fatemah Mukadum, Quan Nguyen, Daniel M. Adrion, Gabriel Appleby, Rui Chen, Haley Dang, Remco Chang, Roman Garnett, Steven A. Lopez
2021	A*	`conf`	Nonmyopic Multifidelity Acitve Search. ICML Quan Nguyen, Arghavan Modiri, Roman Garnett
2021	J	`jnl`	Nonmyopic Multifidelity Active Search. CoRR Quan Nguyen, Arghavan Modiri, Roman Garnett
2021	A*	`conf`	Scarce Societal Resource Allocation and the Price of (Local) Justice. AAAI Quan Nguyen, Sanmay Das, Roman Garnett
2020	J	`jnl`	Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search. CoRR Shayan Monadjemi, Quan Nguyen, Henry Chai, Roman Garnett, Alvitta Ottley
2020	A*	`conf`	BINOCULARS for efficient, nonmyopic sequential experimental design. ICML Shali Jiang, Henry Chai, Javier González, Roman Garnett
2020	J	`jnl`	Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection. CoRR Shayan Monadjemi, Roman Garnett, Alvitta Ottley
2020	A*	`conf`	Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. NeurIPS Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
2020	J	`jnl`	Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. CoRR Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
2020	A	`conf`	GPIRT: A Gaussian Process Model for Item Response Theory. UAI JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery
2020	J	`jnl`	GPIRT: A Gaussian Process Model for Item Response Theory. CoRR JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery
2019	A*	`ed.`	Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada. NeurIPS Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Roman Garnett
2019	A*	`conf`	Automated Model Selection with Bayesian Quadrature. ICML Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett
2019	J	`jnl`	Automated Model Selection with Bayesian Quadrature. CoRR Henry Chai, Jean-Francois Ton, Roman Garnett, Michael A. Osborne
2019	A*	`conf`	Cost Effective Active Search. NeurIPS Shali Jiang, Roman Garnett, Benjamin Moseley
2019	A*	`conf`	D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
2019	J	`jnl`	D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. CoRR Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
2019	J	`jnl`	Efficient nonmyopic Bayesian optimization and quadrature. CoRR Shali Jiang, Henry Chai, Javier González, Roman Garnett
2019	J	`jnl`	Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis. Comput. Graph. Forum Alvitta Ottley, Roman Garnett, Ran Wan
2019	A	`conf`	Improving Quadrature for Constrained Integrands. AISTATS Henry R. Chai, Roman Garnett
2018	A*	`ed.`	Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada. NeurIPS Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett
2018	J	`jnl`	An Improved Bayesian Framework for Quadrature of Constrained Integrands. CoRR Henry Chai, Roman Garnett
2018	A*	`conf`	Automating Bayesian optimization with Bayesian optimization. NeurIPS Gustavo Malkomes, Roman Garnett
2018	J	`jnl`	Efficient nonmyopic active search with applications in drug and materials discovery. CoRR Shali Jiang, Gustavo Malkomes, Benjamin Moseley, Roman Garnett
2018	A*	`conf`	Efficient nonmyopic batch active search. NeurIPS Shali Jiang, Gustavo Malkomes, Matthew Abbott, Benjamin Moseley, Roman Garnett
2018	J	`jnl`	Learning and Anticipating Future Actions During Exploratory Data Analysis. CoRR Ran Wan, Roman Garnett, Alvitta Ottley
2017	A*	`conf`	Active Search for Sparse Signals with Region Sensing. AAAI Yifei Ma, Roman Garnett, Jeff G. Schneider
2017	A*	`conf`	Active Search in Intensionally Specified Structured Spaces. AAAI Dino Oglic, Roman Garnett, Thomas Gärtner
2017	—	`ed.`	Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett
2017	A	`conf`	Cooperative Set Function Optimization Without Communication or Coordination. AAMAS Gustavo Malkomes, Kefu Lu, Blakeley Hoffman, Roman Garnett, Benjamin Moseley, Richard P. Mann
2017	A	`conf`	Discovering and Exploiting Additive Structure for Bayesian Optimization. AISTATS Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse
2017	A*	`conf`	Efficient Nonmyopic Active Search. ICML Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett
2016	J	`jnl`	Active Search for Sparse Signals with Region Sensing. CoRR Yifei Ma, Roman Garnett, Jeff G. Schneider
2016	—	`ed.`	Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain NIPS Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett
2016	A*	`conf`	BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces. ICML Shane Carr, Roman Garnett, Cynthia Lo
2016	—	`conf`	Bayesian optimization for automated model selection. AutoML@ICML Gustavo Malkomes, Chip Schaff, Roman Garnett
2016	—	`conf`	Bayesian optimization for automated model selection. NIPS Gustavo Malkomes, Chip Schaff, Roman Garnett
2016	J	`jnl`	Exact Sampling from Determinantal Point Processes. CoRR Philipp Hennig, Roman Garnett
2016	J	`jnl`	Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
2015	A	`conf`	Active Pointillistic Pattern Search. AISTATS Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider
2015	—	`ed.`	Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada NIPS Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett
2015	—	`conf`	Bayesian Active Model Selection with an Application to Automated Audiometry. NIPS Jacob R. Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham
2015	A*	`conf`	Differentially Private Bayesian Optimization. ICML Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger
2015	A*	`conf`	Finding Galaxies in the Shadows of Quasars with Gaussian Processes. ICML Roman Garnett, Shirley Ho, Jeff G. Schneider
2015	J	`jnl`	Introducing the 'active search' method for iterative virtual screening. J. Comput. Aided Mol. Des. Roman Garnett, Thomas Gärtner, Martin Vogt, Jürgen Bajorath
2014	A	`conf`	Active Area Search via Bayesian Quadrature. AISTATS Yifei Ma, Roman Garnett, Jeff G. Schneider
2014	A	`conf`	Active Learning of Linear Embeddings for Gaussian Processes. UAI Roman Garnett, Michael A. Osborne, Philipp Hennig
2014	A*	`conf`	Power Iterated Color Refinement. AAAI Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe
2014	—	`conf`	Predicting unexpected influxes of players in EVE online. CIG Roman Garnett, Thomas Gärtner, Timothy Ellersiek, Eyjolfur Gudmondsson, Petur Oskarsson
2014	J	`jnl`	Propagation Kernels. CoRR Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
2014	—	`conf`	Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature. NIPS Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts
2013	J	`jnl`	Active Learning of Linear Embeddings for Gaussian Processes. CoRR Roman Garnett, Michael A. Osborne, Philipp Hennig
2013	A*	`conf`	Active search on graphs. KDD Xuezhi Wang, Roman Garnett, Jeff G. Schneider
2013	C	`conf`	Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. ACML Marion Neumann, Roman Garnett, Kristian Kersting
2013	J	`jnl`	Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection. PLoS Comput. Biol. Richard P. Mann, Andrea Perna, Daniel Strömbom, Roman Garnett, James E. Herbert-Read, David J. T. Sumpter, Ashley J. W. Ward
2013	—	`conf`	Σ-Optimality for Active Learning on Gaussian Random Fields. NIPS Yifei Ma, Roman Garnett, Jeff G. Schneider
2012	—	`conf`	Active Learning of Model Evidence Using Bayesian Quadrature. NIPS Michael A. Osborne, David Duvenaud, Roman Garnett, Carl E. Rasmussen, Stephen J. Roberts, Zoubin Ghahramani
2012	A*	`conf`	Bayesian Optimal Active Search and Surveying. ICML Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann
2012	A	`conf`	Bayesian Quadrature for Ratios. AISTATS Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson
2012	—	`conf`	Efficient Graph Kernels by Randomization. ECML/PKDD (1) Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting
2012	A*	`conf`	Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults. AAAI Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas
2012	J	`jnl`	Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields CoRR Yifei Ma, Roman Garnett, Jeff G. Schneider
2010	B	`conf`	Active Data Selection for Sensor Networks with Faults and Changepoints. AINA Michael A. Osborne, Roman Garnett, Stephen J. Roberts
2010	—	`conf`	Bayesian optimization for sensor set selection. IPSN Roman Garnett, Michael A. Osborne, Stephen J. Roberts
2010	—	`—`	Learning from data streams with concept drift. Roman Garnett
2010	J	`jnl`	Sequential Bayesian Prediction in the Presence of Changepoints and Faults. Comput. J. Roman Garnett, Michael A. Osborne, Steven Reece, Alex Rogers, Stephen J. Roberts
2010	J	`jnl`	Sequential non-stationary dynamic classification with sparse feedback. Pattern Recognit. D. R. Lowne, Stephen J. Roberts, Roman Garnett
2009	A*	`conf`	Sequential Bayesian prediction in the presence of changepoints. ICML Roman Garnett, Michael A. Osborne, Stephen J. Roberts
2005	J	`jnl`	A universal noise removal algorithm with an impulse detector. IEEE Trans. Image Process. Roman Garnett, Timothy Huegerich, Charles K. Chui, Wenjie He