Eric Hallman

According to our database, Eric Hallman authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Two Variations on the XTrace Algorithm.

Eric Hallman

CoRR, December, 2025

2024

Extremal bounds for Gaussian trace estimation.

Eric Hallman

CoRR, 2024

2023

Precision-aware deterministic and probabilistic error bounds for floating point summation.

Eric Hallman, Ilse C. F. Ipsen

Numerische Mathematik, October, 2023

Krylov-Aware Stochastic Trace Estimation.

Tyler Chen, Eric Hallman

SIAM J. Matrix Anal. Appl., September, 2023

Monte Carlo Methods for Estimating the Diagonal of a Real Symmetric Matrix.

Eric Hallman, Ilse C. F. Ipsen, Arvind K. Saibaba

SIAM J. Matrix Anal. Appl., March, 2023

Randomized Algorithms for Rounding in the Tensor-Train Format.

Hussam Al Daas, Grey Ballard, Paul Cazeaux, Eric Hallman, Agnieszka Miedlar, Mirjeta Pasha, Tim W. Reid, Arvind K. Saibaba

SIAM J. Sci. Comput., February, 2023

2022

A Block Bidiagonalization Method for Fixed-Accuracy Low-Rank Matrix Approximation.

Eric Hallman

SIAM J. Matrix Anal. Appl., 2022

2021

Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms.

Eric Hallman, Ilse C. F. Ipsen

CoRR, 2021

A Refined Probabilistic Error Bound for Sums.

Eric Hallman

CoRR, 2021

A Multilevel Approach to Stochastic Trace Estimation.

Eric Hallman, Devon Troester

CoRR, 2021

A Block Bidiagonalization Method for Fixed-Precision Low-Rank Matrix Approximation.

Eric Hallman

CoRR, 2021

Faster stochastic trace estimation with a Chebyshev product identity.

Eric Hallman

Appl. Math. Lett., 2021

2020

Sharp 2-Norm Error Bounds for LSQR and the Conjugate Gradient Method.

Eric Hallman

SIAM J. Matrix Anal. Appl., 2020

2018

LSMB: Minimizing the Backward Error for Least-Squares Problems.

Eric Hallman, Ming Gu

SIAM J. Matrix Anal. Appl., 2018