most citedPractice of Efficient Data Collection via Crowdsourcing at Large-Scale

3 citations · 7 across the 4 of their papers we have counts for

collaborators

6 papers

stat.ML2019

Finite-State Extreme Effect Variable

Alexey Drutsa

We generalize to the finite-state case the notion of the extreme effect variable that accumulates all the effect of a variant variable observed in changes of another variab…

cs.HC20193 cited

Practice of Efficient Data Collection via Crowdsourcing at Large-Scale

Alexey Drutsa, Viktoriya Farafonova, Valentina Fedorova +3

Modern machine learning algorithms need large datasets to be trained. Crowdsourcing has become a popular approach to label large datasets in a shorter time as well as at a lower co…

cs.GT20192 cited

Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders

Alexey Drutsa

We study revenue optimization learning algorithms for repeated second-price auctions with reserve where a seller interacts with multiple strategic bidders each of which holds a fix…

cs.LG20192 cited

Aggregation of pairwise comparisons with reduction of biases

Nadezhda Bugakova, Valentina Fedorova, Gleb Gusev +1

We study the problem of ranking from crowdsourced pairwise comparisons. Answers to pairwise tasks are known to be affected by the position of items on the screen, however, previous…

cs.HC2018

Online Evaluation for Effective Web Service Development

Roman Budylin, Alexey Drutsa, Gleb Gusev +2

Development of the majority of the leading web services and software products today is generally guided by data-driven decisions based on evaluation that ensures a steady stream of…

cs.GT2018

Optimal Pricing in Repeated Posted-Price Auctions

Arsenii Vanunts, Alexey Drutsa

We study revenue optimization pricing algorithms for repeated posted-price auctions where a seller interacts with a single strategic buyer that holds a fixed private valuation. We…