Matthew Staib
Matthew Staib
Two Sigma Investments
Verified email at alum.mit.edu - Homepage
Title
Cited by
Cited by
Year
Parallel streaming Wasserstein barycenters
M Staib, S Claici, JM Solomon, S Jegelka
Advances in Neural Information Processing Systems, 2647-2658, 2017
582017
Robust Budget Allocation via Continuous Submodular Functions
M Staib, S Jegelka
Proceedings of the 34th International Conference on Machine Learning 70 …, 2017
412017
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
272019
Distributionally robust deep learning as a generalization of adversarial training
M Staib, S Jegelka
NIPS workshop on Machine Learning and Computer Security, 2017
202017
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
162020
Distributionally robust optimization and generalization in kernel methods
M Staib, S Jegelka
arXiv preprint arXiv:1905.10943, 2019
152019
Distributionally robust submodular maximization
M Staib, B Wilder, S Jegelka
Proceedings of the Twenty-Second International Conference on Artificial …, 2019
132019
Wasserstein k-means++ for cloud regime histogram clustering
M Staib, S Jegelka
Climate informatics, 2017
82017
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
32016
Learning and optimization in the face of data perturbations
MJ Staib
Massachusetts Institute of Technology, 2020
2020
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Articles 1–10