Sketching as a tool for numerical linear algebra

von Woodruff, David P.
Veröffentlicht 2014

<<The>> solid liquid interface

von Woodruff, David P.
Veröffentlicht 1973

NEAR INPUT SPARSITY TIME KERNEL EMBEDDINGS VIA ADAPTIVE SAMPLING

von Woodruff, David P.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

Improved Algorithms for Low Rank Approximation from Sparsity

von Woodruff, David P.
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (2022 : Online) ACM-SIAM Symposium on Discrete Algorithms (SODA22) ; Volume 4 of 5 (2022)

INPUT-SPARSITY LOW RANK APPROXIMATION IN SCHATTEN NORM

von Li, Yi
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

Online Lewis Weight Sampling

von Woodruff, David P.
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 7 of 7 (2023)

Modern techniques of surface science

von Woodruff, David P.
Veröffentlicht 1989

Modern techniques of surface science

von Woodruff, David P.
Veröffentlicht 1994

Modern techniques of surface science

von Woodruff, David P.
Veröffentlicht 1992

Optimal ℓ1 Column Subset Selection and a Fast PTAS for Low Rank Approximation

von Mahankali, Arvind V.
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (32. : 2021 : Online) Thirty-second Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2021) ; Volume 1 of 4 (2021)

Modern techniques of surface science

von Woodruff, David P.
Veröffentlicht 1986

Modern techniques of surface science

von Woodruff, David P.
Veröffentlicht 1990

OBLIVIOUS SKETCHING FOR LOGISTIC REGRESSION

von MUNTEANU, ALEXANDER
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

The ℓp-Subspace Sketch Problem in Small Dimensions with Applications to Support Vector Machines

von Li, Yi
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 2 of 7 (2023)

NON-PSD MATRIX SKETCHING WITH APPLICATIONS TO REGRESSION AND OPTIMIZATION

von Feng, Zhili
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

On Differential Privacy and Adaptive Data Analysis with Bounded Space

von Dinur, Itai
Veröffentlicht in EUROCRYPT (42. : 2023 : Lyon) Advances in cryptology - EUROCRYPT 2023 ; Part 3 (2023)

IN-DATABASE REGRESSION IN INPUT SPARSITY TIME

von JAYARAM, RAJESH
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

Weighted Reservoir Sampling from Distributed Streams

von Jayaram, Rajesh
Veröffentlicht in ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (38. : 2019 : Amsterdam) PODS '19 (2019)

Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time

von Cherapanamjeri, Yeshwanth
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 6 of 7 (2023)

Hutch++: Optimal Stochastic Trace Estimation

von Meyer, Raphael A.
Veröffentlicht in SIAM Symposium on Simplicity in Algorithms (4. : 2021 : Online) Fourth Symposium on Simplicity in Algorithms (SOSA 2021) (2021)