1. Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, and Yi Zhang. 2019. Efficient full-matrix adaptive regularization. In International Conference on Machine Learning. PMLR, 102--110.
2. Approximate counts and quantiles over sliding windows
3. Models and issues in data stream systems
4. Sliding Window Adaptive SVD Algorithms
5. Davis Blalock and John Guttag. 2021. Multiplying matrices without multiplying. In International Conference on Machine Learning. PMLR, 992--1004.