◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Song Mei

15 papers hereh-index 244.1k citations34 works total

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

author position
  • first author4
  • middle author6
  • last author4

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • stat.ML3
  • math.OC2
  • math.ST2
  • math.PR1
same name
  • Song Mei — 7 papers, h 4
  • Song Mei — 6 papers, h 6
  • Song Mei — 3 papers, h 3
  • Song Mei — 3 papers, h 3
  • Song Mei — 2 papers, h 3
  • Song Mei — 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
20172023
most citedMean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

91 citations · 173 across the 10 of their papers we have counts for

collaborators
Showing stat.MLShow all

3 papers · 1 filter

stat.ML2021★ 24 cited

Learning with invariances in random features and kernel models

Song Mei, Theodor Misiakiewicz, Andrea Montanari

A number of machine learning tasks entail a high degree of invariance: the data distribution does not change if we act on the data with a certain group of transformations. For inst…

stat.ML2019★ 11 cited

Limitations of Lazy Training of Two-layers Neural Networks

Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz +1

We study the supervised learning problem under either of the following two models: (1) Feature vectors xi​ are d-dimensional Gaussians and responses are $y_i = f_…

stat.ML2019★ 91 cited

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

Song Mei, Theodor Misiakiewicz, Andrea Montanari

We consider learning two layer neural networks using stochastic gradient descent. The mean-field description of this learning dynamics approximates the evolution of the network wei…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.