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Explore cutting-edge research in randomized numerical linear algebra applied to streaming and sliding window models in this 24-minute IEEE conference talk. Delve into the challenges and solutions for near-optimal linear algebra techniques, including reverse online leverage scores, spectral sparsification, and low-rank approximation. Learn about the connections between online and sliding window models, and discover how these advanced algorithms can be applied to real-world data processing scenarios.
