Eric Vigoda

Eric Vigoda

Georgia Institute of Technology

H-index: 38

North America-United States

About Eric Vigoda

Eric Vigoda, With an exceptional h-index of 38 and a recent h-index of 25 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Markov Chain Monte Carlo Methods, Phase Transitions, Approximate Counting.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Swendsen–Wang dynamics on trees

Improved Distributed Algorithms for Random Colorings

Counting and Sampling Labeled Chordal Graphs in Polynomial Time

Spectral Independence Lecture Notes

Optimal Mixing via Tensorization for Random Independent Sets on Arbitrary Trees

Complexity of high-dimensional identity testing with coordinate conditional sampling

Approximating observables is as hard as counting

Metastability of the Potts ferromagnet on random regular graphs

Eric Vigoda Information

University

Position

Professor of Computer Science

Citations(all)

4693

Citations(since 2020)

1847

Cited By

3599

hIndex(all)

38

hIndex(since 2020)

25

i10Index(all)

56

i10Index(since 2020)

47

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Eric Vigoda Skills & Research Interests

Markov Chain Monte Carlo Methods

Phase Transitions

Approximate Counting

Top articles of Eric Vigoda

Title

Journal

Author(s)

Publication Date

The Swendsen–Wang dynamics on trees

Random Structures & Algorithms

Antonio Blanca

Zongchen Chen

Daniel Štefankovič

Eric Vigoda

2023/7

Improved Distributed Algorithms for Random Colorings

arXiv preprint arXiv:2309.07859

Charlie Carlson

Daniel Frishberg

Eric Vigoda

2023/9/14

Counting and Sampling Labeled Chordal Graphs in Polynomial Time

arXiv preprint arXiv:2308.09703

Úrsula Hébert-Johnson

Daniel Lokshtanov

Eric Vigoda

2023/8/18

Spectral Independence Lecture Notes

arXiv preprint arXiv:2307.13826

Daniel Stefankovic

Eric Vigoda

2023/7/25

Optimal Mixing via Tensorization for Random Independent Sets on Arbitrary Trees

arXiv preprint arXiv:2307.07727

Charilaos Efthymiou

Thomas P Hayes

Daniel Stefankovic

Eric Vigoda

2023/7/15

Complexity of high-dimensional identity testing with coordinate conditional sampling

Antonio Blanca

Zongchen Chen

Daniel Štefankovič

Eric Vigoda

2023/7/12

Approximating observables is as hard as counting

arXiv preprint arXiv:2206.11606

Andreas Galanis

Daniel Stefankovic

Eric Vigoda

2022/6/23

Metastability of the Potts ferromagnet on random regular graphs

Communications in Mathematical Physics

Amin Coja-Oghlan

Andreas Galanis

Leslie Ann Goldberg

Jean Bernoulli Ravelomanana

Daniel Štefankovič

...

2023/7

Spectral independence via stability and applications to Holant-type problems

Zongchen Chen

Kuikui Liu

Eric Vigoda

2022

Sampling Colorings and Independent Sets of Random Regular Bipartite Graphs in the Non-Uniqueness Region∗

Zongchen Chen

Andreas Galanis

Daniel Štefankovič

Eric Vigoda

2022

On Mixing of Markov Chains: Coupling, Spectral Independence, and Entropy Factorization∗

Antonio Blanca

Pietro Caputo

Zongchen Chen

Daniel Parisi

Daniel Štefankovič

...

2022

Entropy decay in the Swendsen–Wang dynamics on ℤd

Antonio Blanca

Pietro Caputo

Daniel Parisi

Alistair Sinclair

Eric Vigoda

2021/6/15

Fast algorithms at low temperatures via Markov chains

Random Structures & Algorithms

Zongchen Chen

Andreas Galanis

Leslie A Goldberg

Will Perkins

James Stewart

...

2021/3

Optimal mixing of Glauber dynamics: Entropy factorization via high-dimensional expansion

Zongchen Chen

Kuikui Liu

Eric Vigoda

2021

Rapid mixing for colorings via spectral independence

Zongchen Chen

Andreas Galanis

Daniel Štefankovič

Eric Vigoda

2021

Hardness of identity testing for restricted Boltzmann machines and Potts models

Journal of machine learning research

Antonio Blanca

Zongchen Chen

Daniel Štefankovič

Eric Vigoda

2021

Sampling in uniqueness from the Potts and random-cluster models on random regular graphs

SIAM Journal on Discrete Mathematics

Antonio Blanca

Andreas Galanis

Leslie Ann Goldberg

Daniel Stefankovic

Eric Vigoda

...

2020

Structure Learning of H-colorings

arXiv preprint arXiv:1708.05118

Antonio Blanca

Zongchen Chen

Daniel Štefankovič

Eric Vigoda

2017/8/17

Lower bounds for testing graphical models: Colorings and antiferromagnetic ising models

Journal of Machine Learning Research

Ivona Bezáková

Antonio Blanca

Zongchen Chen

Daniel Štefankovič

Eric Vigoda

2020

Random walks on small world networks

ACM Transactions on Algorithms (TALG)

Martin E Dyer

Andreas Galanis

Leslie Ann Goldberg

Mark Jerrum

Eric Vigoda

2020/6/1

See List of Professors in Eric Vigoda University(Georgia Institute of Technology)