VLDB 2026 Research / reviewers in the wild / expert
Shoshana Vasserman
dblp:165/2985
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-author · 1 since 2021Theory of computation · 2 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Robust Bounds for Welfare AnalysisabstractEconomists routinely make functional form assumptions about consumer demand to obtain welfare estimates. How sensitive are welfare estimates to these assumptions? We answer this question by providing bounds on welfare that hold for families of demand curves commonly considered in different literatures. We show that commonly chosen functional forms, such as linear, exponential, and CES demand, are extremal in different families: they yield either the highest or lowest welfare estimate among all demand curves in those families. To illustrate our approach, we apply our results to the welfare analysis of energy subsidies, trade tariffs, pensions, and income taxation. Zi Yang Kang, Shoshana Vasserman |
EC | 2 |
| 2020 | Voluntary Disclosure and Personalized Pricing
S. Nageeb Ali, Greg Lewis, Shoshana Vasserman |
EC | 3 |
| 2015 | Implementing the Wisdom of Waze
Shoshana Vasserman, Michal Feldman, Avinatan Hassidim |
IJCAI | 1 |