| Bayesian optimization for automated model selection G Malkomes, C Schaff, R Garnett Advances in neural information processing systems 29, 2016 | 149 | 2016 |
| Fast distributed k-center clustering with outliers on massive data G Malkomes, MJ Kusner, W Chen, KQ Weinberger, B Moseley Advances in Neural Information Processing Systems 28, 2015 | 97 | 2015 |
| Efficient nonmyopic active search S Jiang, G Malkomes, G Converse, A Shofner, B Moseley, R Garnett International Conference on Machine Learning, 1714-1723, 2017 | 61 | 2017 |
| Bayesian active model selection with an application to automated audiometry J Gardner, G Malkomes, R Garnett, KQ Weinberger, D Barbour, ... Advances in neural information processing systems 28, 2015 | 51 | 2015 |
| Automating Bayesian optimization with Bayesian optimization G Malkomes, R Garnett Advances in Neural Information Processing Systems 31, 2018 | 46 | 2018 |
| Group SELFIES: a robust fragment-based molecular string representation AH Cheng, A Cai, S Miret, G Malkomes, M Phielipp, A Aspuru-Guzik Digital Discovery 2 (3), 748-758, 2023 | 34 | 2023 |
| Efficient nonmyopic batch active search S Jiang, G Malkomes, M Abbott, B Moseley, R Garnett Advances in Neural Information Processing Systems 31, 2018 | 32 | 2018 |
| Beyond the pareto efficient frontier: Constraint active search for multiobjective experimental design G Malkomes, B Cheng, EH Lee, M Mccourt International Conference on Machine Learning, 7423-7434, 2021 | 21 | 2021 |
| Efficient nonmyopic active search with applications in drug and materials discovery S Jiang, G Malkomes, B Moseley, R Garnett arXiv preprint arXiv:1811.08871, 2018 | 9 | 2018 |
| Cooperative set function optimization without communication or coordination G Malkomes, K Lu, B Hoffman, R Garnett, B Moseley, R Mann AAMAS'17 Proceedings of the 16th Conference on Autonomous Agents and …, 2017 | 6 | 2017 |
| Accelerating psychometric screening tests with prior information T Larsen, G Malkomes, D Barbour Explainable AI in healthcare and medicine: Building a culture of …, 2021 | 5 | 2021 |
| Accelerating psychometric screening tests with Bayesian active differential selection TJ Larsen, G Malkomes, DL Barbour arXiv preprint arXiv:2002.01547, 2020 | 3 | 2020 |
| Active structure discovery for Gaussian processes G Malkomes, R Garnett ICML Workshop on AutoML, 2015 | 3 | 2015 |
| An improvement of the K-SVD algorithm with applications on face recognition G Malkomes, JP Pordeus, CF Brito 2014 Brazilian Conference on Intelligent Systems, 241-246, 2014 | 3 | 2014 |
| Automated model search using bayesian optimization and genetic programming L Schlessinger, G Malkomes, R Garnett Workshop on Meta-Learning at Advances in Neural Information Processing Systems, 2019 | 2 | 2019 |
| A stochastic framework for K-SVD with applications on face recognition G Malkomes, CEF de Brito, JPP Gomes Pattern Analysis and Applications 20 (3), 845-854, 2017 | 2 | 2017 |
| Towards automated Bayesian optimization G Malkomes, R Garnett ICML AutoML Workshop, 2017 | 2 | 2017 |
| Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization J Komiyama, G Malkomes, B Cheng, M McCourt Transactions on Machine Learning Research, 2022 | 1 | 2022 |
| Automating Active Learning for Gaussian Processes G Malkomes Engineering and Applied Science Theses & Dissertations 479, 2019 | 1 | 2019 |
| Innovation in an adversarial collective sensing game J Suchow, JB Plotkin, A Stewart, T Morgan, G Malkomes, PM Krafft, V Lall, ... OSF, 2018 | 1 | 2018 |
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
