STOC
2009
ACM
15 years 3 days ago
2009
ACM
Locally Decodable Codes (LDC) allow one to decode any particular symbol of the input message by making a constant number of queries to a codeword, even if a constant fraction of t...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
The price of anarchy (POA) is a worst-case measure of the inefficiency of selfish behavior, defined as the ratio of the objective function value of a worst Nash equilibrium of a g...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
We initiate a systematic study of a special type of property testers. These testers consist of repeating a basic test for a number of times that depends on the proximity parameter...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
We design the first efficient algorithms and prove new combinatorial bounds for list decoding tensor products of codes and interleaved codes. ? We show that for every code, the rat...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
d Abstract] Virginia Vassilevska School of Mathematics Institute for Advanced Study Princeton, NJ 08540 USA virgi@math.ias.edu Ryan Williams School of Mathematics Institute for Adv...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
The paper concerns graph spanners that are resistant to vertex or edge failures. Given a weighted undirected n-vertex graph G = (V, E) and an integer k 1, the subgraph H = (V, E ...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
STOC
2009
ACM
15 years 3 days ago
2009
ACM
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...