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119
Voted
APPROX
2015
Springer
32views Algorithms» more  APPROX 2015»
9 years 11 months ago
Approximating Dense Max 2-CSPs
In this paper, we present a polynomial-time algorithm that approximates sufficiently high-value Max 2-CSPs on sufficiently dense graphs to within Nε approximation ratio for any c...
Pasin Manurangsi, Dana Moshkovitz
APPROX
2015
Springer
29views Algorithms» more  APPROX 2015»
9 years 11 months ago
Fully Dynamic Bin Packing Revisited
We consider the fully dynamic bin packing problem, where items arrive and depart in an online fashion and repacking of previously packed items is allowed. The goal is, of course, ...
Sebastian Berndt, Klaus Jansen, Kim-Manuel Klein
122
Voted
APPROX
2015
Springer
28views Algorithms» more  APPROX 2015»
9 years 11 months ago
Correlation in Hard Distributions in Communication Complexity
We study the effect that the amount of correlation in a bipartite distribution has on the communication complexity of a problem under that distribution. We introduce a new family...
Ralph Bottesch, Dmitry Gavinsky, Hartmut Klauck
APPROX
2015
Springer
35views Algorithms» more  APPROX 2015»
9 years 11 months ago
Average Distance Queries through Weighted Samples in Graphs and Metric Spaces: High Scalability with Tight Statistical Guarantee
The average distance from a node to all other nodes in a graph, or from a query point in a metric space to a set of points, is a fundamental quantity in data analysis. The inverse...
Shiri Chechik, Edith Cohen, Haim Kaplan
128
Voted
APPROX
2015
Springer
27views Algorithms» more  APPROX 2015»
9 years 11 months ago
Spectral Norm of Random Kernel Matrices with Applications to Privacy
Kernel methods are an extremely popular set of techniques used for many important machine learning and data analysis applications. In addition to having good practical performance...
Shiva Prasad Kasiviswanathan, Mark Rudelson