Matthew Staib
Matthew Staib
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TitleCited byYear
Parallel streaming Wasserstein barycenters
M Staib, S Claici, JM Solomon, S Jegelka
Advances in Neural Information Processing Systems, 2647-2658, 2017
Robust Budget Allocation via Continuous Submodular Functions
M Staib, S Jegelka
Proceedings of the 34th International Conference on Machine Learning 70 …, 2017
Distributionally robust submodular maximization
M Staib, B Wilder, S Jegelka
Proceedings of the Twenty-Second International Conference on Artificial …, 2019
Escaping saddle points with adaptive gradient methods
M Staib, SJ Reddi, S Kale, S Kumar, S Sra
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
Distributionally robust deep learning as a generalization of adversarial training
M Staib, S Jegelka
NIPS workshop on Machine Learning and Computer Security, 2017
Wasserstein k-means++ for cloud regime histogram clustering
M Staib, S Jegelka
Climate Informatics, 2017
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ...
arXiv preprint arXiv:1901.00032, 2018
Distributionally Robust Optimization and Generalization in Kernel Methods
M Staib, S Jegelka
arXiv preprint arXiv:1905.10943, 2019
Improving survey aggregation with sparsely represented signals
T Shi, F Agostinelli, M Staib, D Wipf, T Moscibroda
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
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Articles 1–9