| Parallel streaming Wasserstein barycenters M Staib, S Claici, JM Solomon, S Jegelka Advances in Neural Information Processing Systems, 2647-2658, 2017 | 65 | 2017 |
| Robust Budget Allocation via Continuous Submodular Functions M Staib, S Jegelka Proceedings of the 34th International Conference on Machine Learning 70 …, 2017 | 43 | 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 | 28 | 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 | 22 | 2020 |
| Distributionally robust deep learning as a generalization of adversarial training M Staib, S Jegelka NIPS workshop on Machine Learning and Computer Security, 2017 | 22 | 2017 |
| Distributionally robust optimization and generalization in kernel methods M Staib, S Jegelka arXiv preprint arXiv:1905.10943, 2019 | 19 | 2019 |
| Distributionally robust submodular maximization M Staib, B Wilder, S Jegelka Proceedings of the Twenty-Second International Conference on Artificial …, 2019 | 15 | 2019 |
| Wasserstein k-means++ for cloud regime histogram clustering M Staib, S Jegelka Climate informatics, 2017 | 8 | 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 | 3 | 2016 |
| Learning and optimization in the face of data perturbations MJ Staib Massachusetts Institute of Technology, 2020 | | 2020 |
| 1 Last Time-JL Lemma AM Scribe, R LaVigne, M Staib, D Tsipras | | |
Stefanie JegelkaMITVerified email at mit.edu
