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researcher

Lihua Lei

32 papers hereh-index 222.7k citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author12
  • middle author15
  • last author3

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • stat.ME15
  • math.ST5
  • cs.LG4
  • math.OC4
  • econ.EM1
  • econ.TH1
same name
  • Lihua Lei — 10 papers, h 5
  • Lihua Lei — 5 papers, h 2
  • Lihua Lei — 4 papers, h 5
  • Lihua Lei — 3 papers, h 10
  • Lihua Lei — 2 papers, h 3
  • Lihua Lei — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

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

collaborators
Showing 2019Show all

4 papers · 1 filter

stat.ME2019

Smoothed Nested Testing on Directed Acyclic Graphs

Jackson H. Loper, Lihua Lei, William Fithian +1

We consider the problem of multiple hypothesis testing when there is a logical nested structure to the hypotheses. When one hypothesis is nested inside another, the outer hypothesi…

math.PR2019★ 16 cited

Unified ℓ2→∞​ Eigenspace Perturbation Theory for Symmetric Random Matrices

Lihua Lei

Modern applications in statistics, computer science and network science have seen tremendous values of finer matrix spectral perturbation theory. In this paper, we derive a generic…

stat.ME2019★ 14 cited

An Assumption-Free Exact Test For Fixed-Design Linear Models With Exchangeable Errors

Lihua Lei, Peter J. Bickel

We propose the Cyclic Permutation Test (CPT) to test general linear hypotheses for linear models. This test is non-randomized and valid in finite samples with exact Type I error $α…

math.OC2019★ 26 cited

On the Adaptivity of Stochastic Gradient-Based Optimization

Lihua Lei, Michael I. Jordan

Stochastic-gradient-based optimization has been a core enabling methodology in applications to large-scale problems in machine learning and related areas. Despite the progress, the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.