Raphael A. Meyer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Locally Weighted

Low Rank Approximation

Ordinary Least Squares

Polynomial Regression

Top Venues

Publications

Raphael A. Meyer, Cameron Musco, Christopher Musco
On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation. SODA (2024)
Raphael A. Meyer, Haim Avron
Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation. CoRR (2023)
Raphael A. Meyer, Cameron Musco, Christopher Musco
On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation. CoRR (2023)
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
Polynomial Regression. SODA (2023)
David Persson, Raphael A. Meyer, Christopher Musco
Algorithm-agnostic low-rank approximation of operator monotone matrix functions. CoRR (2023)
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
Fast Regression for Structured Inputs. ICLR (2022)
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
Fast Regression for Structured Inputs. CoRR (2022)
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
Polynomial Regression. CoRR (2022)
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff
Hutch++: Optimal Stochastic Trace Estimation. SOSA (2021)
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff
Hutch++: Optimal Stochastic Trace Estimation. CoRR (2020)
Raphael A. Meyer, Christopher Musco
The Statistical Cost of Robust Kernel Hyperparameter Tuning. CoRR (2020)
Raphael A. Meyer, Christopher Musco
The Statistical Cost of Robust Kernel Hyperparameter Turning. NeurIPS (2020)
Raphael A. Meyer, Jean Honorio
Optimality Implies Kernel Sum Classifiers are Statistically Efficient. ICML (2019)