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79
Voted
APPROX
2008
Springer
128views Algorithms» more  APPROX 2008»
14 years 11 months ago
Constraint Satisfaction over a Non-Boolean Domain: Approximation Algorithms and Unique-Games Hardness
Venkatesan Guruswami, Prasad Raghavendra
APPROX
2008
Springer
137views Algorithms» more  APPROX 2008»
14 years 11 months ago
Approximating Directed Weighted-Degree Constrained Networks
Given a graph H = (V, F) with edge weights {w(e) : e F}, the weighted degree of a node v in H is {w(vu) : vu F}. We give bicriteria approximation algorithms for problems that see...
Zeev Nutov
APPROX
2008
Springer
125views Algorithms» more  APPROX 2008»
14 years 11 months ago
On the Degree Sequences of Random Outerplanar and Series-Parallel Graphs
In order to perform an average-case analysis for specific input distributions one needs to derive and understand properties of a 'typical' input instance. In the case of...
Nicla Bernasconi, Konstantinos Panagiotou, Angelik...
APPROX
2008
Springer
102views Algorithms» more  APPROX 2008»
14 years 11 months ago
Dense Fast Random Projections and Lean Walsh Transforms
Random projection methods give distributions over k
Edo Liberty, Nir Ailon, Amit Singer
APPROX
2008
Springer
142views Algorithms» more  APPROX 2008»
14 years 11 months ago
Approximating Maximum Subgraphs without Short Cycles
We study approximation algorithms, integrality gaps, and hardness of approximation, of two problems related to cycles of "small" length k in a given graph. The instance f...
Guy Kortsarz, Michael Langberg, Zeev Nutov
72
Voted
APPROX
2008
Springer
103views Algorithms» more  APPROX 2008»
14 years 11 months ago
Ordinal Embedding: Approximation Algorithms and Dimensionality Reduction
Mihai Badoiu, Erik D. Demaine, MohammadTaghi Hajia...
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
14 years 11 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
14 years 11 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
76
Voted
APPROX
2008
Springer
100views Algorithms» more  APPROX 2008»
14 years 11 months ago
Corruption and Recovery-Efficient Locally Decodable Codes
A (q, , )-locally decodable code (LDC) C : {0, 1}n {0, 1}m is an encoding from n-bit strings to m-bit strings such that each bit xk can be recovered with probability at least 1 2 +...
David P. Woodruff
APPROX
2008
Springer
134views Algorithms» more  APPROX 2008»
14 years 11 months ago
Inapproximability of Survivable Networks
In the Survivable Network Design Problem (SNDP) one seeks to find a minimum cost subgraph that satisfies prescribed node-connectivity requirements. We give a novel approximation r...
Yuval Lando, Zeev Nutov