Kalman filtering with adversarial corruptions-Reference-Cited by-同舟云学术

Kalman filtering with adversarial corruptions

Published:2022-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing
language:
Short-container-title:

Author:

Chen Sitan¹,Koehler Frederic²,Moitra Ankur³,Yau Morris³

Affiliation:

1. University of California at Berkeley, USA

2. Stanford University, USA

3. Massachusetts Institute of Technology, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3519935.3520050

Reference55 articles.

1. Brian DO Anderson and John B Moore . 2007. Optimal control: linear quadratic methods . Courier Corporation . Brian DO Anderson and John B Moore. 2007. Optimal control: linear quadratic methods. Courier Corporation.

2. Brian DO Anderson and John B Moore . 2012. Optimal filtering . Courier Corporation . Brian DO Anderson and John B Moore. 2012. Optimal filtering. Courier Corporation.

3. Ainesh Bakshi , Ilias Diakonikolas , He Jia , Daniel M. Kane , Pravesh K. Kothari , and Santosh S . Vempala . 2020 . Robustly Learning Mixtures of k Arbitrary Gaussians . arxiv:2012.02119. Ainesh Bakshi, Ilias Diakonikolas, He Jia, Daniel M. Kane, Pravesh K. Kothari, and Santosh S. Vempala. 2020. Robustly Learning Mixtures of k Arbitrary Gaussians. arxiv:2012.02119.

4. Ainesh Bakshi and Pravesh Kothari. 2020. Outlier-Robust Clustering of Non-Spherical Mixtures. arXiv preprint arXiv:2005.02970. Ainesh Bakshi and Pravesh Kothari. 2020. Outlier-Robust Clustering of Non-Spherical Mixtures. arXiv preprint arXiv:2005.02970.

5. Robust linear regression: optimal rates in polynomial time

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Planning and Learning in Partially Observable Systems via Filter Stability;Proceedings of the 55th Annual ACM Symposium on Theory of Computing;2023-06-02

2. A New Approach to Learning Linear Dynamical Systems;Proceedings of the 55th Annual ACM Symposium on Theory of Computing;2023-06-02