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» Improving probability bounds by optimization over subsets
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COMPGEOM
2009
ACM
14 years 2 months ago
Epsilon nets and union complexity
We consider the following combinatorial problem: given a set of n objects (for example, disks in the plane, triangles), and an integer L ≥ 1, what is the size of the smallest su...
Kasturi R. Varadarajan
JCS
2008
93views more  JCS 2008»
13 years 7 months ago
On the Bayes risk in information-hiding protocols
Randomized protocols for hiding private information can be regarded as noisy channels in the information-theoretic sense, and the inference of the concealed information can be reg...
Konstantinos Chatzikokolakis, Catuscia Palamidessi...
ICDT
2011
ACM
232views Database» more  ICDT 2011»
12 years 11 months ago
(Approximate) uncertain skylines
Given a set of points with uncertain locations, we consider the problem of computing the probability of each point lying on the skyline, that is, the probability that it is not do...
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasp...
NIPS
2007
13 years 9 months ago
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
Ambuj Tewari, Peter L. Bartlett
PODC
2011
ACM
12 years 10 months ago
MIS on trees
A maximal independent set on a graph is an inclusion-maximal set of mutually non-adjacent nodes. This basic symmetry breaking structure is vital for many distributed algorithms, w...
Christoph Lenzen, Roger Wattenhofer