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researcher

Jerry Li

23 papers hereh-index 274.9k citations51 works total

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

author position
  • sole author1
  • first author2
  • middle author18
  • last author2

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.DS6
  • cs.DB2
  • cs.CC1
  • cs.CL1
  • cs.CV1
same name
  • Jerry Li — 8 papers, h 3
  • Jerry Li — 4 papers, h 6
  • Jerry Li — 2 papers, h 2
  • Jerry Li — 2 papers, h 1
  • Jerry Li — 2 papers, h 2
  • Jerry Li — 1 paper, h 7

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
20132023
most citedQSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

908 citations · 1.7k across the 21 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.LG2018★ 367 cited

Spectral Signatures in Backdoor Attacks

Brandon Tran, Jerry Li, Aleksander Madry

A recent line of work has uncovered a new form of data poisoning: so-called \emph{backdoor} attacks. These attacks are particularly dangerous because they do not affect a network's…

cs.DS2018★ 28 cited

Privately Learning High-Dimensional Distributions

Gautam Kamath, Jerry Li, Vikrant Singhal +1

We present novel, computationally efficient, and differentially private algorithms for two fundamental high-dimensional learning problems: learning a multivariate Gaussian and lear…

cs.LG2018★ 142 cited

Sever: A Robust Meta-Algorithm for Stochastic Optimization

Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane +3

In high dimensions, most machine learning methods are brittle to even a small fraction of structured outliers. To address this, we introduce a new meta-algorithm that can take in a…

cs.LG2018★ 2 cited

Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms

Ilias Diakonikolas, Jerry Li, Ludwig Schmidt

We study the problem of robustly learning multi-dimensional histograms. A d-dimensional function h:D→R is called a k-histogram if there exists a partiti…

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