APPROX
2015
Springer
8 years 7 months ago
2015
Springer
A hit rate curve is a function that maps cache size to the proportion of requests that can be served from the cache. (The caching policy and sequence of requests are assumed to be...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
Tensor rank and low-rank tensor decompositions have many applications in learning and complexity theory. Most known algorithms use unfoldings of tensors and can only handle rank u...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
A recent model for property testing of probability distributions [CFGM13, CRS15] enables tremendous savings in the sample complexity of testing algorithms, by allowing them to con...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
We tighten the connections between circuit lower bounds and derandomization for each of the following three types of derandomization: general derandomization of promise-BPP (conne...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
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...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
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, ...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
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...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
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...
APPROX
2015
Springer
8 years 7 months ago
2015
Springer
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...