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» When Can Limited Randomness Be Used in Repeated Games
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83
Voted
ICML
2003
IEEE
16 years 1 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
CORR
2010
Springer
47views Education» more  CORR 2010»
14 years 11 months ago
Applications of Lindeberg Principle in Communications and Statistical Learning
We use a generalization of the Lindeberg principle developed by Sourav Chatterjee to prove universality properties for various problems in communications, statistical learning and...
Satish Babu Korada, Andrea Montanari
ASPLOS
2011
ACM
14 years 4 months ago
Improving the performance of trace-based systems by false loop filtering
Trace-based compilation is a promising technique for language compilers and binary translators. It offers the potential to expand the compilation scopes that have traditionally be...
Hiroshige Hayashizaki, Peng Wu, Hiroshi Inoue, Mau...
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 20 days ago
Free deconvolution for signal processing applications
—Situations in many fields of research, such as digital communications, nuclear physics and mathematical finance, can be modelled with random matrices. When the matrices get la...
Øyvind Ryan, Mérouane Debbah
88
Voted
AC
2003
Springer
15 years 6 months ago
The Surprising Power of Epidemic Communication
We suggest that a combination of randomization and gossip communication can be used to overcome scalability barriers that limit the utility of many technologies for distributed sys...
Kenneth P. Birman