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Robin A. Moser

dblp:12/2739 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 2 first-authorArtificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
3 papers
Automated reasoning and model checking · 39% Combinatorics and discrete mathematics · 34% Computational complexity · 14%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking
satisfiability
0.222011
A full derandomization of schöning's k-SAT algorithm · STOC 2011
A constructive proof of the Lovász local lemma · STOC 2009
Combinatorics and discrete mathematics › probabilistic method
lovász local lemma
0.222010
A constructive proof of the general lovász local lemma · J. ACM 2010
A constructive proof of the Lovász local lemma · STOC 2009
Computational complexity
derandomization
0.112011
A full derandomization of schöning's k-SAT algorithm · STOC 2011
Automated reasoning and model checking › satisfiability › k-SAT
k-SAT algorithms
0.112011
A full derandomization of schöning's k-SAT algorithm · STOC 2011
Algorithms and data structures
constructive algorithms
0.112010
A constructive proof of the general lovász local lemma · J. ACM 2010
Combinatorics and discrete mathematics › probabilistic method › lovász local lemma
algorithmic lovász local lemma
0.112009
A constructive proof of the Lovász local lemma · STOC 2009

Methods — techniques the papers use, named apart from their topics

derandomization · 0.2schöning's algorithm · 0.1constructive proof · 0.1algorithmic local lemma · 0.1randomized algorithm · 0.1
YearPublicationVenuePosition
2016 The PPSZ Algorithm for Constraint Satisfaction Problems on More Than Two Colors
Timon Hertli, Isabelle Hurbain, Sebastian Millius, Robin A. Moser, Dominik Scheder, May Szedlák
CP4
2011 Improving PPSZ for 3-SAT using Critical Variables
Timon Hertli, Robin A. Moser, Dominik Scheder
STACS2
2011 A full derandomization of schöning's k-SAT algorithm
abstract
Schoening in 1999 presented a simple randomized algorithm for k-SAT with running time an * poly(n) for a = 2(k-1)/k. We give a deterministic version of this algorithm running in time an+o(n).
Robin A. Moser, Dominik Scheder
STOC1
2010 A constructive proof of the general lovász local lemma
abstract
The Lovász Local Lemma discovered by Erdős and Lovász in 1975 is a powerful tool to non-constructively prove the existence of combinatorial objects meeting a prescribed collection of criteria. In 1991, József Beck was the first to demonstrate that a constructive variant can be given under certain more restrictive conditions, starting a whole line of research aimed at improving his algorithm's performance and relaxing its restrictions. In the present article, we improve upon recent findings so as to provide a method for making almost all known applications of the general Local Lemma algorithmic.
Robin A. Moser, Gábor Tardos
J. ACM1
2009 A constructive proof of the Lovász local lemma
abstract
The Lovasz Local Lemma [2] is a powerful tool to prove the existence of combinatorial objects meeting a prescribed collection of criteria. The technique can directly be applied to the satisfiability problem, yielding that a k-CNF formula in which each clause has common variables with at most 2(k-2) other clauses is always satisfiable. All hitherto known proofs of the Local Lemma are non-constructive and do thus not provide a recipe as to how a satisfying assignment to such a formula can be efficiently found. In his breakthrough paper [3], Beck demonstrated that if the neighbourhood of each clause be restricted to O(2(k/48)), a polynomial time algorithm for the search problem exists. Alon simplified and randomized his procedure and improved the bound to O(2(k/8)) [4]. Srinivasan presented in [9] a variant that achieves a bound of essentially O(2(k/4)). In [11], we improved this to O(2(k/2)). In the present paper, we give a randomized algorithm that finds a satisfying assignment to every k-CNF formula in which each clause has a neighbourhood of at most the asymptotic optimum of 2(k-5)-1 other clauses and that runs in expected time polynomial in the size of the formula, irrespective of k. If k is considered a constant, we can also give a deterministic variant. In contrast to all previous approaches, our analysis does not anymore invoke the standard non-constructive versions of the Local Lemma and can therefore be considered an alternative, constructive proof of it.
Robin A. Moser
STOC1