29 citations · 57 across the 8 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2018★ 8 cited
Distributed Nonparametric Regression under Communication Constraints
Yuancheng Zhu, John Lafferty
This paper studies the problem of nonparametric estimation of a smooth function with data distributed across multiple machines. We assume an independent sample from a white noise m…
stat.ML2018★ 29 cited
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
Weijie J. Su, Yuancheng Zhu
Stochastic gradient descent (SGD) is an immensely popular approach for online learning in settings where data arrives in a stream or data sizes are very large. However, despite an…
stat.ML2016★ 8 cited
Local Minimax Complexity of Stochastic Convex Optimization
Yuancheng Zhu, Sabyasachi Chatterjee, John Duchi +1
We extend the traditional worst-case, minimax analysis of stochastic convex optimization by introducing a localized form of minimax complexity for individual functions. Our main re…