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stat.ML2022★ 1 cited
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
Nuri Mert Vural, Lu Yu, Krishnakumar Balasubramanian +2
We study stochastic convex optimization under infinite noise variance. Specifically, when the stochastic gradient is unbiased and has uniformly bounded -th moment, for some…
stat.ME2022★ 2 cited
Spectral Clustering with Variance Information for Group Structure Estimation in Panel Data
Lu Yu, Jiaying Gu, Stanislav Volgushev
Consider a panel data setting where repeated observations on individuals are available. Often it is reasonable to assume that there exist groups of individuals that share similar e…