Media Summary: Kuldeep Meel (National University of Singapore) Leslie Ann Goldberg, University of Oxford Weiming Feng (UC Berkeley) Meet the Fellows Welcome ...

Approximate Counting And Sampling - Detailed Analysis & Overview

Kuldeep Meel (National University of Singapore) Leslie Ann Goldberg, University of Oxford Weiming Feng (UC Berkeley) Meet the Fellows Welcome ... Moshe Vardi, Rice University Uncertainty in Computation. 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) Sebastiano Vigna, University of Milan Unifying Theory and Experiment for Large-Scale Networks ...

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Approximate Counting and Sampling
Approximate Counting I
SAT Counting and Sampling -- From Theory to Practice
STOC 2022 - Approximate Counting and Sampling via Local Central Limit Theorems
Sampling and Approximately Counting CNF Formula Solutions in the Local Lemma Regime
Probability & Statistics #4: Counting and Sampling
Mehtaab Sawhney: Approximate counting and sampling via local central limit theorems (MIT)
Approximate Counting II
Constrained Sampling and Counting
[POPL'26] Counting and Sampling Traces in Regular Languages
Counting and Sampling Perfect Matchings in Regular Expanding Non-Bipartite Graphs
Counting and Sampling Subgraphs in Sublinear Time
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Approximate Counting and Sampling

Approximate Counting and Sampling

Kuldeep Meel (National University of Singapore) https://simons.berkeley.edu/talks/pseudo-boolean-solving-and-optimization ...

Approximate Counting I

Approximate Counting I

Leslie Ann Goldberg, University of Oxford

SAT Counting and Sampling -- From Theory to Practice

SAT Counting and Sampling -- From Theory to Practice

Moshe Vardi, Rice University

STOC 2022 - Approximate Counting and Sampling via Local Central Limit Theorems

STOC 2022 - Approximate Counting and Sampling via Local Central Limit Theorems

Approximate counting and sampling

Sampling and Approximately Counting CNF Formula Solutions in the Local Lemma Regime

Sampling and Approximately Counting CNF Formula Solutions in the Local Lemma Regime

Weiming Feng (UC Berkeley) https://simons.berkeley.edu/talks/weiming-feng-uc-berkeley-2023-09-08 Meet the Fellows Welcome ...

Probability & Statistics #4: Counting and Sampling

Probability & Statistics #4: Counting and Sampling

Lecture playlist: https://www.youtube.com/playlist?list=PLXLUpwDRCVsTNxNZ3Hl7LSLYUxAEi92Iv.

Mehtaab Sawhney: Approximate counting and sampling via local central limit theorems (MIT)

Mehtaab Sawhney: Approximate counting and sampling via local central limit theorems (MIT)

We give deterministic

Approximate Counting II

Approximate Counting II

Davin Richerby, University of Oxford

Constrained Sampling and Counting

Constrained Sampling and Counting

Moshe Vardi, Rice University https://simons.berkeley.edu/talks/moshe-vardi-10-06-2016 Uncertainty in Computation.

[POPL'26] Counting and Sampling Traces in Regular Languages

[POPL'26] Counting and Sampling Traces in Regular Languages

Counting and Sampling

Counting and Sampling Perfect Matchings in Regular Expanding Non-Bipartite Graphs

Counting and Sampling Perfect Matchings in Regular Expanding Non-Bipartite Graphs

13th Innovations in Theoretical Computer Science Conference (ITCS 2022) http://itcs-conf.org/

Counting and Sampling Subgraphs in Sublinear Time

Counting and Sampling Subgraphs in Sublinear Time

Talya Eden (MIT) https://simons.berkeley.edu/talks/

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 ...