587 citations · 2.1k across the 58 of their papers we have counts for
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On the Impossibility of Convex Inference in Human Computation
Nihar B. Shah, Dengyong Zhou
Human computation or crowdsourcing involves joint inference of the ground-truth-answers and the worker-abilities by optimizing an objective function, for instance, by maximizing th…
Fundamental Limits on Communication for Oblivious Updates in Storage Networks
Preetum Nakkiran, Nihar B. Shah, K. V. Rashmi
In distributed storage systems, storage nodes intermittently go offline for numerous reasons. On coming back online, nodes need to update their contents to reflect any modification…
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Dengyong Zhou
Crowdsourcing has gained immense popularity in machine learning applications for obtaining large amounts of labeled data. Crowdsourcing is cheap and fast, but suffers from the prob…
When is it Better to Compare than to Score?
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley +3
When eliciting judgements from humans for an unknown quantity, one often has the choice of making direct-scoring (cardinal) or comparative (ordinal) measurements. In this paper we…