Nihar B. Shah
13 papers · 2016–2022 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23)
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Research topics
Keywords
peer review
(4)
pairwise comparison
(3)
statistical testing
(2)
game theory
(1)
fairness
(1)
sample complexity
(1)
text analysis
(1)
quality estimation
(1)
mechanism design
(1)
machine learning fairness
(1)
human computation
(1)
low-rank approximation
(1)
cross validation
(1)
nonparametric estimation
(1)
two-sample test
(1)
bias detection
(1)
ranking aggregation
(1)
statistical estimation
(1)
machine learning
(1)
natural language processing
(1)
Papers
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions
JMLR 2022
A heuristic for statistical seriation
UAI 2021
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences
AAAI 2021
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment
AAAI 2021
Debiasing Evaluations That Are Biased by Evaluations
AAAI 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review
AAAI 2021
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
JMLR 2019
On Strategyproof Conference Peer Review
IJCAI 2019
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
ALT 2019
Design and Analysis of the NIPS 2016 Review Process
JMLR 2018
Simple, Robust and Optimal Ranking from Pairwise Comparisons
JMLR 2018
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
JMLR 2016
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
JMLR 2016