VLDB 2026 Research / reviewers in the wild / expert
Francisco Patitucci
dblp:395/7516
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-8515-5661ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 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 |
Mathematical optimization · 100% | |
| Artificial intelligence
1 paper |
Optimization for machine learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning › second-order optimization
quasi-newton method |
0.9 | 1 | 2025 | Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods · STOC 2025 |
Mathematical optimization
nonconvex optimization |
0.9 | 1 | 2025 | Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods · STOC 2025 |
Mathematical optimization › nonconvex optimization
smooth non-convex optimization |
0.9 | 1 | 2025 | Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods · STOC 2025 |
Methods — techniques the papers use, named apart from their topics
quasi-newton method · 1.7online learning · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods
Ruichen Jiang, Aryan Mokhtari, Francisco Patitucci |
STOC | 3 |