Preserving randomness for adaptive algorithms
WM Hoza, AR Klivans - arXiv preprint arXiv:1611.00783, 2016 - arxiv.org
Suppose $\mathsf {Est} $ is a randomized estimation algorithm that uses $ n $ random bits
and outputs values in $\mathbb {R}^ d $. We show how to execute $\mathsf {Est} $ on $ k …
and outputs values in $\mathbb {R}^ d $. We show how to execute $\mathsf {Est} $ on $ k …
Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Abstract Suppose $\mathsf {Est} $ is a randomized estimation algorithm that uses $ n $
random bits and outputs values in $\mathbb {R}^ d $. We show how to execute $\mathsf …
random bits and outputs values in $\mathbb {R}^ d $. We show how to execute $\mathsf …
[PDF][PDF] Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - dagstuhl.sunsite.rwth-aachen.de
Suppose Est is a randomized estimation algorithm that uses n random bits and outputs
values in Rd. We show how to execute Est on k adaptively chosen inputs using only n+ O (k …
values in Rd. We show how to execute Est on k adaptively chosen inputs using only n+ O (k …
[PDF][PDF] Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - Approximation, Randomization, and Combinatorial …, 2018 - d-nb.info
Suppose Est is a randomized estimation algorithm that uses n random bits and outputs
values in Rd. We show how to execute Est on k adaptively chosen inputs using only n+ O (k …
values in Rd. We show how to execute Est on k adaptively chosen inputs using only n+ O (k …
[PDF][PDF] Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - 2017 - williamhoza.com
Preserving Randomness for Adaptive Algorithms Page 1 Preserving Randomness for Adaptive
Algorithms William M. Hoza Adam R. Klivans May 25, 2017 Caltech Theory of Computing …
Algorithms William M. Hoza Adam R. Klivans May 25, 2017 Caltech Theory of Computing …
[PDF][PDF] Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - cs.emis.de
Suppose Est is a randomized estimation algorithm that uses n random bits and outputs
values in Rd. We show how to execute Est on k adaptively chosen inputs using only n+ O (k …
values in Rd. We show how to execute Est on k adaptively chosen inputs using only n+ O (k …
[PDF][PDF] Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - Approximation, Randomization, and …, 2018 - drops.dagstuhl.de
Suppose Est is a randomized estimation algorithm that uses n random bits and outputs
values in R^ d. We show how to execute Est on k adaptively chosen inputs using only n+ O …
values in R^ d. We show how to execute Est on k adaptively chosen inputs using only n+ O …
Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - Approximation, Randomization, and …, 2018 - drops.dagstuhl.de
Suppose Est is a randomized estimation algorithm that uses n random bits and outputs
values in R^ d. We show how to execute Est on k adaptively chosen inputs using only n+ O …
values in R^ d. We show how to execute Est on k adaptively chosen inputs using only n+ O …
Preserving Randomness for Adaptive Algorithms}}
WM Hoza, AR Klivans - Approximation, Randomization, and …, 2018 - cs.emis.de
Suppose Est is a randomized estimation algorithm that uses n random bits and outputs
values in R^ d. We show how to execute Est on k adaptively chosen inputs using only n+ O …
values in R^ d. We show how to execute Est on k adaptively chosen inputs using only n+ O …
[PDF][PDF] Preserving Randomness for Adaptive Algorithms
WM Hoza, AR Klivans - 2017 - williamhoza.com
Preserving Randomness for Adaptive Algorithms Page 1 Preserving Randomness for Adaptive
Algorithms William M. Hoza Adam R. Klivans May 25, 2017 Caltech Theory of Computing …
Algorithms William M. Hoza Adam R. Klivans May 25, 2017 Caltech Theory of Computing …