Petros Drineas
Engineering · Purdue University West Lafayette
Publications
226
Citations
11,148
Est. group size
~10
Recurring co-author estimate
Active years
28
Publishing since 1999
Petros Drineas works on randomized numerical linear algebra, developing faster and more efficient algorithms for large matrix computations, such as sketching, sampling, and low-rank approximation methods. His recent work also examines how numerical precision (including stochastic rounding) affects computational accuracy, and applies these matrix techniques to problems in genetics and statistical modeling, such as association studies using linear mixed models.
Publication output has fluctuated over the past decade with a notable peak in 2023, followed by a moderate decline through 2024-2026, though output remains active.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Stochastic Rounding Increases Small Singular Values
arXiv (Cornell University) · 2026
- Stochastic Rounding Increases Small Singular Values
arXiv (Cornell University) · 2026
- A Note on the Stability of the Sherman–Morrison–Woodbury Formula
SIAM Journal on Matrix Analysis and Applications · 2026
- Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices
SIAM Journal on Matrix Analysis and Applications · 2025
- Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization
arXiv (Cornell University) · 2025
- Small Singular Values Can Increase in Lower Precision
SIAM Journal on Matrix Analysis and Applications · 2024
- Matrix sketching framework for linear mixed models in association studies
Genome Research · 2024
- Sublinear Time Eigenvalue Approximation via Random Sampling
Algorithmica · 2024
- Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices
arXiv (Cornell University) · 2024
- MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies
Lecture notes in computer science · 2024
- Stochastic Rounding 2.0, with a View towards Complexity Analysis
arXiv (Cornell University) · 2024
- The Space Complexity of Approximating Logistic Loss
arXiv (Cornell University) · 2024
- The Space Complexity of Approximating Logistic Loss
2024
- A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs
Lecture notes in computer science · 2023
- Small singular values can increase in lower precision
arXiv (Cornell University) · 2023
- arXiv (Cornell University)×26
- medRxiv×9
- SIAM Journal on Matrix Analysis and Applications×5
- Frontiers in Neuroscience×4
- bioRxiv (Cold Spring Harbor Laboratory)×4
- Rajiv Khanna
Engineering · Purdue University West Lafayette
- Chih-Hao Fang
Engineering · Purdue University West Lafayette
- Kananart Kuwaranancharoen
Engineering · Purdue University West Lafayette
- Yuchen Zhang
Engineering · Purdue University West Lafayette
- Zhihui Zhu
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile