Media Summary: Pinyan Lu, Microsoft Research Geometric Complexity Theory Graduate Computational Complexity Theory Lecture 12: We propose a new approach for the problems of enumerating the number of independent sets and proper colorings in low degree ...

Approximate Counting Via Correlation Decay - Detailed Analysis & Overview

Pinyan Lu, Microsoft Research Geometric Complexity Theory Graduate Computational Complexity Theory Lecture 12: We propose a new approach for the problems of enumerating the number of independent sets and proper colorings in low degree ... Leslie Ann Goldberg, University of Oxford Nima Anari (Stanford University) Deterministic Jan Vondrák (Stanford University) Deterministic

Sebastiano Vigna, University of Milan Unifying Theory and Experiment for Large-Scale Networks ... Computer Science/Discrete Mathematics Seminar I Topic: Short talks by postdoctoral members Topic: Subscribe to the official Queen Mary University of London channel - bringing you breakthrough research findings and enhanced ...

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Approximate Counting via Correlation Decay
Approximate counting: Graduate Complexity Lecture 12 at CMU
Correlation decay in statistical physics and applications to counting problems
Approximate Counting II
Approximate Counting I
Approximate Deterministic Counting via Marginal Entropy Optimization
Computation of the Multivariate Independence Polynomial by Correlation Decay
Practice is Better than Theory: Using Approximate Counting to Mine Large Graphs
Decay of Correlations in Spin Systems
Approximate counting and the Lovasz local lemma - Ankur Moitra
Decay of correlations for Anosov flows - Zhiyuan Zhang
Professor Thomas Prellberg: Approximate Counting
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Approximate Counting via Correlation Decay

Approximate Counting via Correlation Decay

Pinyan Lu, Microsoft Research Geometric Complexity Theory http://simons.berkeley.edu/talks/pinyan-lu-2014-09-17.

Approximate counting: Graduate Complexity Lecture 12 at CMU

Approximate counting: Graduate Complexity Lecture 12 at CMU

Graduate Computational Complexity Theory Lecture 12:

Correlation decay in statistical physics and applications to counting problems

Correlation decay in statistical physics and applications to counting problems

We propose a new approach for the problems of enumerating the number of independent sets and proper colorings in low degree ...

Approximate Counting II

Approximate Counting II

Davin Richerby, University of Oxford

Approximate Counting I

Approximate Counting I

Leslie Ann Goldberg, University of Oxford

Approximate Deterministic Counting via Marginal Entropy Optimization

Approximate Deterministic Counting via Marginal Entropy Optimization

Nima Anari (Stanford University) https://simons.berkeley.edu/talks/talk-37 Deterministic

Computation of the Multivariate Independence Polynomial by Correlation Decay

Computation of the Multivariate Independence Polynomial by Correlation Decay

Jan Vondrák (Stanford University) https://simons.berkeley.edu/talks/talk-31 Deterministic

Practice is Better than Theory: Using Approximate Counting to Mine Large Graphs

Practice is Better than Theory: Using Approximate Counting to Mine Large Graphs

Sebastiano Vigna, University of Milan Unifying Theory and Experiment for Large-Scale Networks ...

Decay of Correlations in Spin Systems

Decay of Correlations in Spin Systems

Yitong Yin, Nanjing University

Approximate counting and the Lovasz local lemma - Ankur Moitra

Approximate counting and the Lovasz local lemma - Ankur Moitra

Computer Science/Discrete Mathematics Seminar I Topic:

Decay of correlations for Anosov flows - Zhiyuan Zhang

Decay of correlations for Anosov flows - Zhiyuan Zhang

Short talks by postdoctoral members Topic:

Professor Thomas Prellberg: Approximate Counting

Professor Thomas Prellberg: Approximate Counting

Subscribe to the official Queen Mary University of London channel - bringing you breakthrough research findings and enhanced ...

A6B.2 Approximately Counting Independent Sets of a Given Size in Bounded-degree Graphs

A6B.2 Approximately Counting Independent Sets of a Given Size in Bounded-degree Graphs

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