S.C. (Sarah) Sachs MSc
Faculty of Science
KDV
Visiting address
- Science Park 107
Postal address
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Postbus 94248
1090 GE Amsterdam
Contact details
Social media
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Publications
2022
- Sachs, S., Hadiji, H., van Erven, T., & Guzmán, C. (2022). Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022 (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation.
2021
van Erven, T., Sachs, S., Koolen, W. M., & Kotłowski, W. (2021). Robust Online Convex Optimization in the Presence of Outliers. Proceedings of Machine Learning Research, 134, 4174-4194. https://proceedings.mlr.press/v134/vanerven21a.html [details]
2024
- Hadiji, H., Sachs, S. C., & Guzmán, C. (2024). Tracking solutions of time-varying variational inequalities. (pp. 1).
2023
- Hadiji, H., Sachs, S., van Even, T., & Koolen, W. (2023). Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. Paper presented at 37th Conference on Neural Information Processing Systems, NeurIPS 2023, New Orleans, United States.
- Sachs, S., van Erven, T., Hodgkinson, L., Khanna, R., & Şimşekli, U. (2023). Generalization Guarantees via Algorithm-dependent Rademacher Complexity. 4863-4880. Paper presented at 36th Annual Conference on Learning Theory, COLT 2023, Bangalore, India.
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Ancillary activities
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INRIA, Sierra Paris
research internship
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INRIA, Sierra Paris
van Erven, T., Sachs, S., Koolen, W. M., & Kotłowski, W. (2021). Robust Online Convex Optimization in the Presence of Outliers. Proceedings of Machine Learning Research, 134, 4174-4194.