A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective.

@inproceedings{yu-2025-theorydriven, author = {Fangchen Yu and Yicheng Zeng and Prashant Doshi and Jianfeng Mao and Wenye Li}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {4077--4088}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714947}, doi = {https://doi.org/10.1145/3696410.3714947} }