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PLDI
2010
ACM
15 years 2 months ago
Evaluating Iterative Optimization across 1000 Data Sets
While iterative optimization has become a popular compiler optimization approach, it is based on a premise which has never been truly evaluated: that it is possible to learn the b...
Yang Chen, Yuanjie Huang, Lieven Eeckhout, Grigori...
CL
2010
Springer
14 years 10 months ago
Isolating untrusted software extensions by custom scoping rules
In a modern programming language, scoping rules determine the visibility of names in various regions of a program [15]. In this work, we examine the idea of allowing an applicatio...
Philip W. L. Fong, Simon A. Orr
TACAS
2007
Springer
165views Algorithms» more  TACAS 2007»
15 years 4 months ago
Multi-objective Model Checking of Markov Decision Processes
We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given multiple linear-time (ω-regu...
Kousha Etessami, Marta Z. Kwiatkowska, Moshe Y. Va...
ICML
2005
IEEE
15 years 10 months ago
Learning to compete, compromise, and cooperate in repeated general-sum games
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...
Jacob W. Crandall, Michael A. Goodrich
DCC
2007
IEEE
15 years 9 months ago
Bayesian Detection in Bounded Height Tree Networks
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win