196 citations · 450 across the 15 of their papers we have counts for
Showing 2016Show all
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cs.LG2016★ 7 cited
Computational and Statistical Tradeoffs in Learning to Rank
Ashish Khetan, Sewoong Oh
For massive and heterogeneous modern datasets, it is of fundamental interest to provide guarantees on the accuracy of estimation when computational resources are limited. In the ap…
cs.LG2016★ 27 cited
Achieving Budget-optimality with Adaptive Schemes in Crowdsourcing
Ashish Khetan, Sewoong Oh
Crowdsourcing platforms provide marketplaces where task requesters can pay to get labels on their data. Such markets have emerged recently as popular venues for collecting annotati…
cs.LG2016★ 21 cited
Data-driven Rank Breaking for Efficient Rank Aggregation
Ashish Khetan, Sewoong Oh
Rank aggregation systems collect ordinal preferences from individuals to produce a global ranking that represents the social preference. Rank-breaking is a common practice to reduc…