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In Defense of Minhash over Simhash., and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 886-894. JMLR.org, (2014)Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation., , and . CoRR, (2019)Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data., and . CoRR, (2019)Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix., , , and . CoRR, (2020)Privacy Adversarial Network: Representation Learning for Mobile Data Privacy., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (4): 144:1-144:18 (2019)Fast multi-task learning for query spelling correction., , and . CIKM, page 285-294. ACM, (2012)SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems, , , , , and . (2019)cite arxiv:1903.03129Comment: Published at MLSys 2020.Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier., and . CoRR, (2019)Probabilistic Hashing Techniques for Big Data.. Cornell University, USA, (2015)Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking., , and . DATE, page 1426-1429. IEEE, (2021)