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	RANDOM: Streaming Algorithms with Large Approximation Factors (APPROX-RANDOM 2022) View
	Introduction to Approximation Algorithms - K Center Problem (CSBreakdown) View
	Week 12: Mining Data Streams - Part 9: Estimating Moments (Hao Wang) View
	STOC 2023 - Session1B -Sublinear Algorithms for (1.5+ε)- Approximate Matching. (SIGACT EC) View
	Sampling Techniques in a Data Stream \| Fixed Proportion \| Fixed Size \| Biased Reservoir \| Concise (At A Glance!) View
	5B 2 Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint (ACM SIGMETRICS) View
	STOC 2023 - Session 1B - Streaming Euclidean Max-Cut: Dimension vs Data Reduction. (SIGACT EC) View
	Transciphering Framework for Approximate Homomorphic Encryption (IACR) View
	Scalable K Means++, Bahman Bahmani, Stanford University (MMDS Foundation) View
	Summarizing Massive Data Sets via Large-Scale Submodular Maximization - Prof. Andreas Krause (Yandex for ML) View