587 citations · 2.1k across the 58 of their papers we have counts for
5 papers · 1 filter
An Incentive Mechanism for Crowd Sensing with Colluding Agents
Susu Xu, Weiguang Mao, Yue Cao +2
Vehicular mobile crowd sensing is a fast-emerging paradigm to collect data about the environment by mounting sensors on vehicles such as taxis. An important problem in vehicular cr…
Loss Functions, Axioms, and Peer Review
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
It is common to see a handful of reviewers reject a highly novel paper, because they view, say, extensive experiments as far more important than novelty, whereas the community as a…
On Strategyproof Conference Peer Review
Yichong Xu, Han Zhao, Xiaofei Shi +2
We consider peer review in a conference setting where there is typically an overlap between the set of reviewers and the set of authors. This overlap can incentivize strategic revi…
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
We consider the problem of automated assignment of papers to reviewers in conference peer review, with a focus on fairness and statistical accuracy. Our fairness objective is to ma…
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
Jingyan Wang, Nihar B. Shah
Cardinal scores (numeric ratings) collected from people are well known to suffer from miscalibrations. A popular approach to address this issue is to assume simplistic models of mi…