Conference On coresets for logistic regression 2018 • Advances in Neural Information Processing Systems • 2018-December:6561-6570 Munteanu A, Sohler C, Schwiegelshohn C, Woodruff DP
Conference On Low-Risk heavy hitters and sparse recovery schemes 2018 • Leibniz International Proceedings in Informatics • 116: Li Y, Nakos V, Woodruff DP
Conference On Sketching the q to p norms 2018 • Leibniz International Proceedings in Informatics • 116: Krishnan A, Mohanty S, Woodruff DP
Conference Perfect Lp Sampling in a Data Stream 2018 • Annual Symposium on Foundations of Computer Science • 544-555 Jayaram R, Woodruff DP
Conference Robust subspace approximation in a stream 2018 • Advances in Neural Information Processing Systems • 2018-December:10683-10693 Levin R, Sevekari A, Woodruff DP
Conference Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension 2018 • Annual Symposium on Foundations of Computer Science • 802-813 Sohler C, Woodruff DP
Conference Sublinear time low-rank approximation of distance matrices 2018 • Advances in Neural Information Processing Systems • 2018-December:3782-3792 Bakshi A, Woodruff DP
Conference Algorithms for ℓ<inf>p</inf> low-rank approximation 2017 • 34th International Conference on Machine Learning, ICML 2017 • 2:1358-1366 Chierichetti F, Gollapudi S, Kumar R, Lattanzi S, Panigrahy R, Woodruff DP
Conference Approximation algorithms for l<inf>0</inf>-low rank approximation 2017 • Advances in Neural Information Processing Systems • 2017-December:6649-6660 Bringmann K, Kolev P, Woodruff DP
Conference BPTree 2017 • Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems • 361-376 Braverman V, Chestnut SR, Ivkin N, Nelson J, Wang Z, Woodruff DP
Conference Embeddings of schatten norms with applications to data streams 2017 • Leibniz International Proceedings in Informatics • 80: Li Y, Woodruff DP
Conference Fast regression with an ℓ<inf>∞</inf> guarantee 2017 • Leibniz International Proceedings in Informatics • 80: Price E, Song Z, Woodruff DP
Journal Article Faster Kernel Ridge Regression Using Sketching and Preconditioning 2017 • SIAM Journal on Matrix Analysis and Applications • 38(4):1116-1138 Avron H, Clarkson KL, Woodruff DP
Preprint Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? 2017 Musco C, Woodruff DP
Conference Is input sparsity time possible for kernel low-rank approximation? 2017 • Advances in Neural Information Processing Systems • 2017-December:4436-4446 Musco C, Woodruff DP
Conference Low rank approximation with entrywise l 1 -norm error 2017 • Annual ACM Symposium on Theory of Computing • 688-701 Song Z, Woodruff DP, Zhong P
Journal Article Low-Rank Approximation and Regression in Input Sparsity Time 2017 • Journal of the ACM • 63(6):1-45 Clarkson KL, Woodruff DP
Preprint Matrix Completion and Related Problems via Strong Duality 2017 Balcan M-F, Liang Y, Woodruff DP, Zhang H
Conference Near optimal sketching of low-rank tensor regression 2017 • Advances in Neural Information Processing Systems • 2017-December:3467-3477 Haupt J, Li X, Woodruff DP
Journal Article Optimal CUR Matrix Decompositions 2017 • SIAM journal on computing (Print) • 46(2):543-589 Boutsidis C, Woodruff DP
Conference Optimal Lower Bounds for Universal Relation, and for Samplers and Finding Duplicates in Streams 2017 • Annual Symposium on Foundations of Computer Science • 475-486 Kapralov M, Nelson J, Pachocki J, Wang Z, Woodruff DP, Yahyazadeh M
Preprint Optimal lower bounds for universal relation, and for samplers and finding duplicates in streams 2017 Kapralov M, Nelson J, Pachocki J, Wang Z, Woodruff DP, Yahyazadeh M
Preprint Robust Communication-Optimal Distributed Clustering Algorithms 2017 Awasthi P, Bakshi A, Balcan M-F, White C, Woodruff D
