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Raphael A. Meyer
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- affiliation: New York University, Tandon School of Engineering, NY, USA
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2020 – today
- 2023
- [c6]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Near-Linear Sample Complexity for Lp Polynomial Regression. SODA 2023: 3959-4025 - [i6]Raphael A. Meyer, Cameron Musco, Christopher Musco:
On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation. CoRR abs/2305.02535 (2023) - 2022
- [c5]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Fast Regression for Structured Inputs. ICLR 2022 - [i5]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Fast Regression for Structured Inputs. CoRR abs/2203.07557 (2022) - [i4]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Near-Linear Sample Complexity for Lp Polynomial Regression. CoRR abs/2211.06790 (2022) - 2021
- [c4]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff:
Hutch++: Optimal Stochastic Trace Estimation. SOSA 2021: 142-155 - 2020
- [c3]Raphael A. Meyer, Christopher Musco:
The Statistical Cost of Robust Kernel Hyperparameter Turning. NeurIPS 2020 - [i3]Raphael A. Meyer, Christopher Musco:
The Statistical Cost of Robust Kernel Hyperparameter Tuning. CoRR abs/2006.08035 (2020) - [i2]Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff:
Hutch++: Optimal Stochastic Trace Estimation. CoRR abs/2010.09649 (2020)
2010 – 2019
- 2019
- [c2]Raphael A. Meyer, Jean Honorio:
Optimality Implies Kernel Sum Classifiers are Statistically Efficient. ICML 2019: 4566-4574 - [i1]Raphael Arkady Meyer, Jean Honorio:
On the Statistical Efficiency of Optimal Kernel Sum Classifiers. CoRR abs/1901.09087 (2019) - 2017
- [c1]Amisha Jhanji, Hemanta K. Maji, Raphael Arkady Meyer:
Characterizing optimal security and round-complexity for secure OR evaluation. ISIT 2017: 2703-2707
Coauthor Index

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last updated on 2023-05-11 21:14 CEST by the dblp team
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