Demo Data from SIGIR 2026 / reviewers in the wild / expert
Abhinav Bhardwaj
dblp:43/10932
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithms and data structures › numerical linear algebra
matrix perturbation theory |
0.8 | 1 | 2024 | Matrix Perturbation: Davis-Kahan in the Infinity Norm · SODA 2024 |
Algorithms and data structures
numerical linear algebra |
0.8 | 1 | 2024 | Matrix Perturbation: Davis-Kahan in the Infinity Norm · SODA 2024 |
Algorithms and data structures
spectral methods |
0.8 | 1 | 2024 | Matrix Perturbation: Davis-Kahan in the Infinity Norm · SODA 2024 |
Methods — techniques the papers use, named apart from their topics
perturbation analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Matrix Perturbation: Davis-Kahan in the Infinity NormabstractPerturbation theory is developed to analyze the impact of noise on data and has been an essential part of numerical analysis. Recently, it has played an important role in designing and analyzing matrix algorithms. One of the most useful tools in this subject, the Davis-Kahan sine theorem, provides an ℓ2 error bound on the perturbation of the leading singular vectors (and spaces). Abhinav Bhardwaj, Van H. Vu |
SODA | 1 |