Gustavo Malkomes
TitleCited byYear
Bayesian optimization for automated model selection
G Malkomes, C Schaff, R Garnett
Advances in Neural Information Processing Systems, 2900-2908, 2016
402016
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, 1063-1071, 2015
282015
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, 2386-2394, 2015
162015
Efficient nonmyopic active search
S Jiang, G Malkomes, G Converse, A Shofner, B Moseley, R Garnett
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
92017
Efficient nonmyopic batch active search
S Jiang, G Malkomes, M Abbott, B Moseley, R Garnett
Advances in Neural Information Processing Systems, 1099-1109, 2018
62018
Cooperative set function optimization without communication or coordination
G Malkomes, K Lu, B Hoffman, R Garnett, B Moseley, R Mann
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
62017
Automating Bayesian optimization with Bayesian optimization
G Malkomes, R Garnett
Advances in Neural Information Processing Systems, 5984-5994, 2018
52018
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
32014
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
22017
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
12018
Towards automated Bayesian optimization
G Malkomes, R Garnett
ICML AutoML Workshop, 2017
12017
Active Structure Discovery for Gaussian Processes
G Malkomes, R Garnett
ICML Workshop on AutoML, 2015
12015
Automating Active Learning for Gaussian Processes
G Malkomes
2019
Bayesian optimization for automated model selection (short version)
G Malkomes, C Schaff
Journal of machine learning research 64, 2016
2016
Automating Bayesian optimization with Bayesian optimization: supplementary material
G Malkomes, R Garnett
Supplementary Material for Efficient Nonmyopic Active Search
S Jiang, G Malkomes, G Converse, A Shofner, B Moseley, R Garnett
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Articles 1–16