VLDB 2026 Research / reviewers in the wild / expert
Iosif Pinelis
dblp:92/685
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0003-4742-5789ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Security and privacy · 1 · 1 first-authorTheory of computation · 1 · 1 first-author
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 · 44% Mathematical optimization · 44% Information theory · 13% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection
differential privacy |
0.6 | 1 | 2022 | Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space · ICLR 2022 |
Algorithms and data structures
classification |
0.4 | 1 | 2019 | Exact Upper and Lower Bounds on the Misclassification Probability · IEEE Trans. Inf. Theory 2019 |
Mathematical optimization › regularization
total variation |
0.4 | 1 | 2019 | Exact Upper and Lower Bounds on the Misclassification Probability · IEEE Trans. Inf. Theory 2019 |
Information theory › information measures › entropy › entropy inequalities
conditional entropy bounds |
0.1 | 1 | 2019 | Exact Upper and Lower Bounds on the Misclassification Probability · IEEE Trans. Inf. Theory 2019 |
Methods — techniques the papers use, named apart from their topics
frequency moment estimation · 0.6differential privacy · 0.6total variation norm · 0.4conditional entropy · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
Lun Wang 0001, Iosif Pinelis, Dawn Song |
ICLR | 2 |
| 2019 | Exact Upper and Lower Bounds on the Misclassification ProbabilityabstractExact upper and lower bounds on the best possible misclassification probability for a finite number of classes are obtained in terms of the total variation norms of the differences between the sub-distributions over the classes. These bounds are compared with the exact upper and lower bounds in terms of the conditional entropy obtained by Feder and Merhav. Iosif Pinelis |
IEEE Trans. Inf. Theory | 1 |
| 1996 | On the Minimal Number of Even Submatrices of 0-1 Matrices
Iosif Pinelis |
Des. Codes Cryptogr. | 1 |