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» Extractors: optimal up to constant factors
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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
CRYPTO
2001
Springer
95views Cryptology» more  CRYPTO 2001»
13 years 12 months ago
Robustness for Free in Unconditional Multi-party Computation
We present a very efficient multi-party computation protocol unconditionally secure against an active adversary. The security is maximal, i.e., active corruption of up to t < n/...
Martin Hirt, Ueli M. Maurer
WADS
1997
Springer
108views Algorithms» more  WADS 1997»
13 years 11 months ago
Dynamic Data Structures for Fat Objects and Their Applications
We present several efficient dynamic data structures for point-enclosure queries, involving convex fat objects in R2 or R3. Our planar structures are actually fitted for a more ...
Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha ...
CPM
2007
Springer
73views Combinatorics» more  CPM 2007»
13 years 11 months ago
Move-to-Front, Distance Coding, and Inversion Frequencies Revisited
Move-to-Front, Distance Coding and Inversion Frequencies are three simple and effective techniques used to process the output of the Burrows-Wheeler Transform. In this paper we pr...
Travis Gagie, Giovanni Manzini
COLT
2008
Springer
13 years 9 months ago
Regret Bounds for Sleeping Experts and Bandits
We study on-line decision problems where the set of actions that are available to the decision algorithm vary over time. With a few notable exceptions, such problems remained larg...
Robert D. Kleinberg, Alexandru Niculescu-Mizil, Yo...