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Lizhen Lin

33 papers hereh-index 7200 citations31 works total

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

author position
  • first author3
  • middle author10
  • last author20

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • math.ST10
  • stat.ML9
  • stat.ME6
  • cs.LG2
  • stat.CO2
  • cs.SI1
same name
  • Lizhen Lin — 6 papers, h 3
  • Lizhen Lin — 3 papers, h 10
  • Lizhen Lin — 3 papers, h 3
  • Lizhen Lin — 3 papers, h 5
  • Lizhen Lin — 3 papers, h 4
  • Lizhen Lin — 2 papers, h 2

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
20132026
most citedRobust and Scalable Bayes via a Median of Subset Posterior Measures

100 citations · 204 across the 32 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

stat.ME2021

Bayesian Optimal Two-sample Tests in High-dimension

Kyoungjae Lee, Kisung You, Lizhen Lin

We propose optimal Bayesian two-sample tests for testing equality of high-dimensional mean vectors and covariance matrices between two populations. In many applications including g…

cs.LG2021

Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity

Bernardo Aquino, Arash Rahnama, Peter Seiler +2

Adversarial examples can easily degrade the classification performance in neural networks. Empirical methods for promoting robustness to such examples have been proposed, but often…

math.ST2021★ 6 cited

Adaptive variational Bayes: Optimality, computation and applications

Ilsang Ohn, Lizhen Lin

In this paper, we explore adaptive inference based on variational Bayes. Although several studies have been conducted to analyze the contraction properties of variational posterior…

stat.ML2021★ 13 cited

A likelihood approach to nonparametric estimation of a singular distribution using deep generative models

Minwoo Chae, Dongha Kim, Yongdai Kim +1

We investigate statistical properties of a likelihood approach to nonparametric estimation of a singular distribution using deep generative models. More specifically, a deep genera…

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