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Zongchen Chen

21 papers hereh-index 14760 citations29 works total

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

author position
  • sole author1
  • first author13
  • middle author6

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.DS14
  • cs.DM4
  • math.PR3
same name
  • Zongchen Chen — 5 papers, h 2
  • Zongchen Chen — 4 papers, h 2
  • Zongchen Chen — 3 papers, h 3
  • Zongchen Chen — 1 paper
  • Zongchen Chen — 1 paper, h 1

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
20172026
most citedOptimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions

18 citations · 50 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.DS2023

Combinatorial Approach for Factorization of Variance and Entropy in Spin Systems

Zongchen Chen

We present a simple combinatorial framework for establishing approximate tensorization of variance and entropy in the setting of spin systems (a.k.a. undirected graphical models) b…

cs.DM2023★ 1 cited

Spectral Independence and Local-to-Global Techniques for Optimal Mixing of Markov Chains

Zongchen Chen, Daniel Stefankovic, Eric Vigoda

This monograph is an exposition on an exciting new technique known as spectral independence, which has been instrumental in analyzing the convergence rate of Markov Chain Monte Car…

cs.DS2023★ 1 cited

Fast Sampling of b-Matchings and b-Edge Covers

Zongchen Chen, Yuzhou Gu

For an integer b≥1, a b-matching (resp. b-edge cover) of a graph G=(V,E) is a subset S⊆E of edges such that every vertex is incident with at most (resp. at l…

cs.DS2023

Strong spatial mixing for colorings on trees and its algorithmic applications

Zongchen Chen, Kuikui Liu, Nitya Mani +1

Strong spatial mixing (SSM) is an important quantitative notion of correlation decay for Gibbs distributions arising in statistical physics, probability theory, and theoretical com…

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