Raphael A. Meyer

25 papers A* 7Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Debiasing Polynomial and Fourier Regression.
SOSA
Chris Camaño, Raphael A. Meyer, Kevin Shu
2026 A* conf
Does block size matter in randomized block Krylov low-rank approximation?
SODA
Tyler Chen, Ethan N. Epperly, Raphael A. Meyer, Christopher Musco, Akash Rao
2026 J jnl
Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation.
SIAM J. Matrix Anal. Appl.
Raphael A. Meyer, Haim Avron
2026 J jnl
Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop.
CoRR
Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams
2026 J jnl
Quantifying Epistemic Uncertainty in Diffusion Models.
CoRR
Aditi Gupta, Raphael A. Meyer, Yotam Yaniv, Elynn Chen, N. Benjamin Erichson
2026 J jnl
The matrix-vector complexity of Ax=b.
CoRR
Michal Derezinski, Ethan N. Epperly, Raphael A. Meyer
2025 J jnl
Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions.
SIAM J. Matrix Anal. Appl.
David Persson, Raphael A. Meyer, Christopher Musco
2025 J jnl
Debiasing Polynomial and Fourier Regression.
CoRR
Chris Camaño, Raphael A. Meyer, Kevin Shu
2025 J jnl
Does block size matter in randomized block Krylov low-rank approximation?
CoRR
Tyler Chen, Ethan N. Epperly, Raphael A. Meyer, Christopher Musco, Akash Rao
2025 J jnl
Faster Linear Algebra Algorithms with Structured Random Matrices.
CoRR
Chris Camaño, Ethan N. Epperly, Raphael A. Meyer, Joel A. Tropp
2025 A* conf
Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra.
ICML
Raphael A. Meyer, William J. Swartworth, David P. Woodruff
2025 J jnl
Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra.
CoRR
Raphael A. Meyer, William Swartworth, David P. Woodruff
2024 A* conf
On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation.
SODA
Raphael A. Meyer, Cameron Musco, Christopher Musco
2023 J jnl
Algorithm-agnostic low-rank approximation of operator monotone matrix functions.
CoRR
David Persson, Raphael A. Meyer, Christopher Musco
2023 J jnl
Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation.
CoRR
Raphael A. Meyer, Haim Avron
2023 A* conf
Near-Linear Sample Complexity for
SODA
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
2023 J jnl
On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation.
CoRR
Raphael A. Meyer, Cameron Musco, Christopher Musco
2022 A* conf
Fast Regression for Structured Inputs.
ICLR
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
2022 J jnl
Fast Regression for Structured Inputs.
CoRR
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
2022 J jnl
Near-Linear Sample Complexity for L
CoRR
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff, Samson Zhou
2021 — conf
Hutch++: Optimal Stochastic Trace Estimation.
SOSA
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff
2020 J jnl
Hutch++: Optimal Stochastic Trace Estimation.
CoRR
Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff
2020 J jnl
The Statistical Cost of Robust Kernel Hyperparameter Tuning.
CoRR
Raphael A. Meyer, Christopher Musco
2020 A* conf
The Statistical Cost of Robust Kernel Hyperparameter Turning.
NeurIPS
Raphael A. Meyer, Christopher Musco
2019 A* conf
Optimality Implies Kernel Sum Classifiers are Statistically Efficient.
ICML
Raphael A. Meyer, Jean Honorio