Matthew Staib
Matthew Staib
Two Sigma Investments
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Cited by
Cited by
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
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
Inorganic materials synthesis planning with literature-trained neural networks
E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ...
Journal of chemical information and modeling 60 (3), 1194-1201, 2020
Distributionally robust deep learning as a generalization of adversarial training
M Staib, S Jegelka
NIPS workshop on Machine Learning and Computer Security, 2017
Distributionally robust optimization and generalization in kernel methods
M Staib, S Jegelka
arXiv preprint arXiv:1905.10943, 2019
Distributionally robust submodular maximization
M Staib, B Wilder, S Jegelka
Proceedings of the Twenty-Second International Conference on Artificial …, 2019
Wasserstein k-means++ for cloud regime histogram clustering
M Staib, S Jegelka
Climate informatics, 2017
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
Learning and optimization in the face of data perturbations
MJ Staib
Massachusetts Institute of Technology, 2020
1 Last Time-JL Lemma
AM Scribe, R LaVigne, M Staib, D Tsipras
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Articles 1–11