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» Online Learning in Adversarial Lipschitz Environments
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PKDD
2010
Springer
148views Data Mining» more  PKDD 2010»
13 years 2 months ago
Online Learning in Adversarial Lipschitz Environments
Odalric-Ambrym Maillard, Rémi Munos
ALT
2010
Springer
13 years 6 months ago
Optimal Online Prediction in Adversarial Environments
: In many prediction problems, including those that arise in computer security and computational finance, the process generating the data is best modeled as an adversary with whom ...
Peter L. Bartlett
AAAI
2008
13 years 7 months ago
Online Learning in Monkeys
We examine online learning in the context of the Wisconsin Card Sorting Task (WCST), a task for which the concept acquisition strategies for human and other primates are well docu...
Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki C...
OSDI
2008
ACM
14 years 5 months ago
From Optimization to Regret Minimization and Back Again
Internet routing is mostly based on static information-it's dynamicity is limited to reacting to changes in topology. Adaptive performance-based routing decisions would not o...
Ioannis C. Avramopoulos, Jennifer Rexford, Robert ...
ALT
2005
Springer
14 years 1 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter