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Raphael A. Meyer

Raphael Arkady Meyer

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affiliation: New York University, Tandon School of Engineering, NY, USA

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2020 – today

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2023
[c6]
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Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Near-Linear Sample Complexity for L_p Polynomial Regression. SODA 2023: 3959-4025
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  - journals/corr/abs-2305-02535
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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]
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Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Fast Regression for Structured Inputs. ICLR 2022
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  - journals/corr/abs-2203-07557
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Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Fast Regression for Structured Inputs. CoRR abs/2203.07557 (2022)
[i4]
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  - journals/corr/abs-2211-06790
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Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou:
Near-Linear Sample Complexity for L_p Polynomial Regression. CoRR abs/2211.06790 (2022)
2021
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Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff:
Hutch++: Optimal Stochastic Trace Estimation. SOSA 2021: 142-155
2020
[c3]
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Raphael A. Meyer, Christopher Musco:
The Statistical Cost of Robust Kernel Hyperparameter Turning. NeurIPS 2020
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  - journals/corr/abs-2006-08035
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Raphael A. Meyer, Christopher Musco:
The Statistical Cost of Robust Kernel Hyperparameter Tuning. CoRR abs/2006.08035 (2020)
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  - journals/corr/abs-2010-09649
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Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff:
Hutch++: Optimal Stochastic Trace Estimation. CoRR abs/2010.09649 (2020)

2010 – 2019

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2019
[c2]
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Raphael A. Meyer, Jean Honorio:
Optimality Implies Kernel Sum Classifiers are Statistically Efficient. ICML 2019: 4566-4574
[i1]
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  - journals/corr/abs-1901-09087
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Raphael Arkady Meyer, Jean Honorio:
On the Statistical Efficiency of Optimal Kernel Sum Classifiers. CoRR abs/1901.09087 (2019)
2017
[c1]
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Amisha Jhanji, Hemanta K. Maji, Raphael Arkady Meyer:
Characterizing optimal security and round-complexity for secure OR evaluation. ISIT 2017: 2703-2707

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