Benjamin Letham
Orcid: 0009-0003-5205-8212
According to our database1,
Benjamin Letham
authored at least 24 papers
between 2011 and 2024.
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Bibliography
2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences.
CoRR, 2023
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
J. Mach. Learn. Res., 2019
2018
2017
2016
Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model.
CoRR, 2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
J. Mach. Learn. Res., 2013
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
2011
Proceedings of the COLT 2011, 2011