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Michael R. Capalbo

dblp:51/2123 · DBLP profile ↗
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10ranked-venue papers
5as first author
0since 2021 · last 2008
—ORCID · none

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

Theory of computation · 10 · 5 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
9 papers
Graph algorithms and graph theory · 73% Coding theory · 8% Combinatorics and discrete mathematics · 6%

Topics — the 21 heaviest of 22, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › graph classes
universal graphs
0.242008
Optimal universal graphs with deterministic embedding · SODA 2008
Universality and Tolerance · FOCS 2000
Small Universal Graphs · STOC 1999
Graph algorithms and graph theory
expander graphs
0.132002
Randomness conductors and constant-degree lossless expanders · STOC 2002
Explicit Unique-Neighbor Expanders · FOCS 2002
Randomness Conductors and Constant-Degree Lossless Expanders · CCC 2002
Graph algorithms and graph theory › expander graphs
unique-neighbor expanders
0.132002
Randomness conductors and constant-degree lossless expanders · STOC 2002
Explicit Unique-Neighbor Expanders · FOCS 2002
Randomness Conductors and Constant-Degree Lossless Expanders · CCC 2002
Coding theory › error-correcting codes › code construction
explicit constructions
0.132003
Smaller explicit superconcentrators · SODA 2003
Explicit Unique-Neighbor Expanders · FOCS 2002
Small Universal Graphs · STOC 1999
Graph algorithms and graph theory
graph theory
0.132002
Explicit Unique-Neighbor Expanders · FOCS 2002
Universality and Tolerance · FOCS 2000
Small Universal Graphs · STOC 1999
Graph algorithms and graph theory
graph embedding
0.112008
Optimal universal graphs with deterministic embedding · SODA 2008
Graph algorithms and graph theory › graph classes › universal graphs
induced universal graphs
0.112008
Optimal universal graphs with deterministic embedding · SODA 2008
Graph algorithms and graph theory
disjoint paths
0.112007
Finding Disjoint Paths in Expanders Deterministically and Online · FOCS 2007
Graph algorithms and graph theory › disjoint paths
edge-disjoint paths in expanders
0.112007
Finding Disjoint Paths in Expanders Deterministically and Online · FOCS 2007
Graph algorithms and graph theory
graph algorithms
0.112007
Finding Disjoint Paths in Expanders Deterministically and Online · FOCS 2007
Approximation and online algorithms
online algorithms
0.112007
Finding Disjoint Paths in Expanders Deterministically and Online · FOCS 2007
Combinatorics and discrete mathematics › extremal combinatorics
extremal graph theory
0.012003
Smaller explicit superconcentrators · SODA 2003
Combinatorics and discrete mathematics › switching theory
superconcentrators
0.012003
Smaller explicit superconcentrators · SODA 2003
Graph algorithms and graph theory › expander graphs
bounded-degree expanders
0.012002
Explicit Unique-Neighbor Expanders · FOCS 2002
Computational complexity
pseudorandomness
0.012002
Randomness Conductors and Constant-Degree Lossless Expanders · CCC 2002
Graph algorithms and graph theory › graph connectivity
fault-tolerant graphs
0.012000
Universality and Tolerance · FOCS 2000
Graph algorithms and graph theory › planar graphs
bounded-degree planar graphs
0.011999
A Small Universal Graph for Bounded-degree Planar Graphs · SODA 1999
Graph algorithms and graph theory
graph classes
0.011999
A Small Universal Graph for Bounded-degree Planar Graphs · SODA 1999
Computational complexity › pseudorandomness
condensers
0.012002
Randomness conductors and constant-degree lossless expanders · STOC 2002
Computational complexity › pseudorandomness
extractors
0.012002
Randomness conductors and constant-degree lossless expanders · STOC 2002
Graph algorithms and graph theory › graph classes › sparse graphs
bounded degree graphs
0.011999
Small Universal Graphs · STOC 1999

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

probabilistic method · 0.1expander mixing · 0.1deterministic polynomial-time algorithm · 0.1explicit construction · 0.1zig-zag graph product · 0.0spectral arguments · 0.0random construction · 0.0graph construction · 0.0
YearPublicationVenuePosition
2008 Optimal universal graphs with deterministic embedding
Noga Alon, Michael R. Capalbo
SODA2
2007 Finding Disjoint Paths in Expanders Deterministically and Online
abstract
We describe a deterministic, polynomial time algorithm for finding edge-disjoint paths connecting given pairs of vertices in an expander. Specifically, the input of the algorithm is a sufficiently strong d-regular expander G on n vertices, and a sequence of pairs si, ti(1lesilesr) of vertices, where, r=Theta(nd log d/log n), and no vertex appears more than d/3 times in the list of all endpoints s1, t1,... ,sr,tr. The algorithm outputs edge-disjoint paths Q1,...,Qr, where Qiconnects siand ti. The paths are constructed online, that is, the algorithm produces Qias soon as it gets si,tiand before the next requests in the sequence are revealed. This improves in several respects a long list of previous algorithms for the above problem, whose study is motivated by the investigation of communication networks. An analogous result is established for vertex disjoint paths in blowups of strong expanders.
Noga Alon, Michael R. Capalbo
FOCS2
2003 Smaller explicit superconcentrators
Noga Alon, Michael R. Capalbo
SODA2
2003 An Explicit Construction of Lower-Diameter Cubic Graphs
abstract
The expected diameter of a cubic undirected N-vertex graph is no more than lg N + lg lg N + 10. However, the problem of explicitly constructing an infinite family of N-vertex graphs with maximum degree 3 and diameter lg N + o(lg N) is open; the best construction known for graphs on N vertices has diameter 1.47lg N. Here we present an explicit construction of an infinite family ${\cal H}$ of cubic graphs $\Lambda$ with diameter $1.413\lg |V(\Lambda)|+ O(1)$.
Michael R. Capalbo
SIAM J. Discret. Math.1
2002 Randomness Conductors and Constant-Degree Lossless Expanders
Michael R. Capalbo, Omer Reingold, Salil P. Vadhan, Avi Wigderson
CCC1
2002 Explicit Unique-Neighbor Expanders
abstract
We present a simple, explicit construction of an infinite family F of bounded-degree 'unique-neighbor' expanders /spl Gamma/; i.e., there are strictly positive constants /spl alpha/ and /spl epsi/, such that all /spl Gamma/ = (X, E(/spl Gamma/)) /spl isin/ F satisfy the following property. For each subset S of X with no more than /spl alpha/|X| vertices, there are at least /spl epsi/|S| vertices in X/spl bsol/S that are adjacent in /spl Gamma/ to exactly one vertex in S. The construction of F is simple to specify, and each /spl Gamma/ /spl isin/ F is 6-regular. We then extend the technique and present easy to describe explicit infinite families of 4-regular and 3-regular unique-neighbor expanders, as well as explicit families of bipartite graphs with nonequal color classes and similar properties. This has several applications and settles an open problem considered by various researchers.
Noga Alon, Michael R. Capalbo
FOCS2
2002 Randomness conductors and constant-degree lossless expanders
abstract
The main concrete result of this paper is the first explicit construction of constant degree lossless expanders. In these graphs, the expansion factor is almost as large as possible: (1—ε)D, where D is the degree and ε is an arbitrarily small constant. The best previous explicit constructions gave expansion factor D/2, which is too weak for many applications. The D/2 bound was obtained via the eigenvalue method, and is known that that method cannot give better bounds.The main abstract contribution of this paper is the introduction and initial study of randomness conductors, a notion which generalizes extractors, expanders, condensers and other similar objects. In all these functions, certain guarantee on the input "entropy" is converted to a guarantee on the output "entropy". For historical reasons, specific objects used specific guarantees of different flavors. We show that the flexibility afforded by the conductor definition leads to interesting combinations of these objects, and to better constructions such as those above.The main technical tool in these constructions is a natural generalization to conductors of the zig-zag graph product, previously defined for expanders and extractors.
Michael R. Capalbo, Omer Reingold, Salil P. Vadhan, Avi Wigderson
STOC1
2000 Universality and Tolerance
abstract
For any positive integers r and n, let H(r,n) denote the family of graphs on n vertices with maximum degree r, and let H(r,n,n) denote the family of bipartite graphs H on 2n vertices with n vertices in each vertex class, and with maximum degree r. On one hand, we note that any H(r,n)-universal graph must have /spl Omega/(n/sup 2-2/r/) edges. On the other hand, for any n/spl ges/n/sub 0/(r), we explicitly construct H(r,n)-universal graphs G and /spl Lambda/ on n and 2n vertices, and with O(n/sup 2-/spl Omega//(1/r log r)) and O(n/sup 2-1/r/ log/sup 1/r/ n) edges, respectively, such that we can efficiently find a copy of any H /spl epsiv/ H (r,n) in G deterministically. We also achieve sparse universal graphs using random constructions. Finally, we show that the bipartite random graph G=G(n,n,p), with p=cn/sup -1/2r/ log/sup 1/2r/ n is fault-tolerant; for a large enough constant c, even after deleting any /spl alpha/-fraction of the edges of G, the resulting graph is still H(r,/spl alpha/(/spl alpha/)n,/spl alpha/(/spl alpha/)n)-universal for some /spl alpha/: [0,1)/spl rarr/(0,1].
Noga Alon, Michael R. Capalbo, Yoshiharu Kohayakawa, Vojtech Rödl, Andrzej Rucinski 0001, Endre Szemerédi
FOCS2
1999 A Small Universal Graph for Bounded-degree Planar Graphs
Michael R. Capalbo
SODA1
1999 Small Universal Graphs
abstract
Let 3& be the family of N-vertex graphs of maximum degree q, and with a 2-sector function j(z) < z"'.For every constant positive 6, we show via an explicit construction algorithm that there exists an 3iT3(-universal graph r' of size O,(N).This construction is a significant improvement over the best previously known construction of size n(N2-").
Michael R. Capalbo, S. Rao Kosaraju
STOC1