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ATAL
2011
Springer
14 years 6 months ago
Information elicitation for decision making
Proper scoring rules, particularly when used as the basis for a prediction market, are powerful tools for eliciting and aggregating beliefs about events such as the likely outcome...
Yiling Chen, Ian A. Kash
IPPS
2009
IEEE
16 years 1 months ago
An upload bandwidth threshold for peer-to-peer Video-on-Demand scalability
We consider the fully distributed Video-on-Demand problem, where n nodes called boxes store a large set of videos and collaborate to serve simultaneously n videos or less between ...
Yacine Boufkhad, Fabien Mathieu, Fabien de Montgol...
IOR
2008
91views more  IOR 2008»
15 years 6 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 2 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 6 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking