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JAIR
2008
97views more  JAIR 2008»
13 years 5 months ago
Adaptive Stochastic Resource Control: A Machine Learning Approach
Balázs Csanád Csáji, Lá...
SIGMOD
2012
ACM
242views Database» more  SIGMOD 2012»
11 years 7 months ago
Dynamic management of resources and workloads for RDBMS in cloud: a control-theoretic approach
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
Pengcheng Xiong
COLT
2010
Springer
13 years 3 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
MICRO
2008
IEEE
148views Hardware» more  MICRO 2008»
13 years 11 months ago
Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach
—Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although sever...
Ramazan Bitirgen, Engin Ipek, José F. Mart&...
ICML
2009
IEEE
14 years 6 months ago
Binary action search for learning continuous-action control policies
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Jason Pazis, Michail G. Lagoudakis