Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Komal Malik

dblp:275/3747 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-0166-3415ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Theory 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
Algorithmic game theory and mechanism design · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › decision theory
information acquisition		 0.812024
Posterior-Mean Separable Costs of Information Acquisition · EC 2024
Algorithmic game theory and mechanism design
mechanism design		 0.812024
Posterior-Mean Separable Costs of Information Acquisition · EC 2024
Algorithmic game theory and mechanism design › decision theory
revealed preference		 0.812024
Posterior-Mean Separable Costs of Information Acquisition · EC 2024

Methods — techniques the papers use, named apart from their topics

stochastic choice · 0.8posterior-mean separable costs · 0.8
YearPublicationVenuePosition
2024 Posterior-Mean Separable Costs of Information Acquisition
abstract
We analyze a problem of revealed preference given state-dependent stochastic choice data in which the payoff to a decision maker (DM) only depends on their beliefs about posterior means. Often, the DM must also learn about or pay attention to the state; in applied work on this subject, a convenient assumption is that the costs of such learning are linearly dependent in the distribution over posterior means:
Jeffrey Mensch, Komal Malik
 EC2