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20112026
most citedNon-convex Finite-Sum Optimization Via SCSG Methods

129 citations · 555 across the 28 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

stat.ME2020

Conditional calibration for false discovery rate control under dependence

William Fithian, Lihua Lei

We introduce a new class of methods for finite-sample false discovery rate (FDR) control in multiple testing problems with dependent test statistics where the dependence is fully o…

stat.ME2020★ 32 cited

Conformal Inference of Counterfactuals and Individual Treatment Effects

Lihua Lei, Emmanuel J. Candès

Evaluating treatment effect heterogeneity widely informs treatment decision making. At the moment, much emphasis is placed on the estimation of the conditional average treatment ef…

math.ST2020★ 10 cited

Consistency of Spectral Clustering on Hierarchical Stochastic Block Models

Lihua Lei, Xiaodong Li, Xingmei Lou

We study the hierarchy of communities in real-world networks under a generic stochastic block model, in which the connection probabilities are structured in a binary tree. Under su…

cs.LG2020★ 2 cited

Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization

Samuel Horváth, Lihua Lei, Peter Richtárik +1

Adaptivity is an important yet under-studied property in modern optimization theory. The gap between the state-of-the-art theory and the current practice is striking in that algori…

cs.LG2020★ 3 cited

Variance Reduction with Sparse Gradients

Melih Elibol, Lihua Lei, Michael I. Jordan

Variance reduction methods such as SVRG and SpiderBoost use a mixture of large and small batch gradients to reduce the variance of stochastic gradients. Compared to SGD, these meth…