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stat.ML2019
Optimal Clustering from Noisy Binary Feedback
Kaito Ariu, Jungseul Ok, Alexandre Proutiere +1
We study the problem of clustering a set of items from binary user feedback. Such a problem arises in crowdsourcing platforms solving large-scale labeling tasks with minimal effort…
stat.ML2019
Robust Streaming PCA
Daniel Bienstock, Minchan Jeong, Apurv Shukla +1
We consider streaming principal component analysis when the stochastic data generating model is subject to perturbations. While existing models assume a fixed covariance, we adopt…