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On the feasibility of low-rank approximation for personalized PageRank.

, , and . WWW (Special interest tracks and posters), page 972-973. ACM, (2005)

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Fast locality-sensitive hashing., , and . KDD, page 1073-1081. ACM, (2011)Linear Additive Markov Processes., , , and . WWW, page 411-419. ACM, (2017)Caching with Dual Costs., , and . WWW (Companion Volume), page 643-652. ACM, (2017)FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features., , , , , and . CoRR, (2023)Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products., , , and . CoRR, (2023)Õptimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization., , , , and . CoRR, (2022)Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels., , and . NeurIPS, page 9470-9481. (2019)From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers., , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3962-3983. PMLR, (2022)Searching a Small National Domain - Preliminary Report., , , and . WWW (Posters), (2003)Improved Approximation Algorithms for Large Matrices via Random Projections. FOCS, page 143-152. IEEE Computer Society, (2006)