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COLT
2008
Springer
15 years 7 months ago
More Efficient Internal-Regret-Minimizing Algorithms
Standard no-internal-regret (NIR) algorithms compute a fixed point of a matrix, and hence typically require O(n3 ) run time per round of learning, where n is the dimensionality of...
Amy R. Greenwald, Zheng Li, Warren Schudy
160
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ESA
1997
Springer
93views Algorithms» more  ESA 1997»
15 years 9 months ago
Quasi-Fully Dynamic Algorithms for Two-Connectivity, Cycle Equivalence and Related Problems
In thispaper we introduce a new class of dynamicgraphalgorithmscalledquasi-fully dynamic algorithms,which are much more general than the backtracking algorithmsand are much simple...
Madhukar R. Korupolu, Vijaya Ramachandran
VLDB
1999
ACM
145views Database» more  VLDB 1999»
15 years 9 months ago
DBMSs on a Modern Processor: Where Does Time Go?
Recent high-performance processors employ sophisticated techniques to overlap and simultaneously execute multiple computation and memory operations. Intuitively, these techniques ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill...
ESA
2010
Springer
246views Algorithms» more  ESA 2010»
15 years 6 months ago
Estimating the Average of a Lipschitz-Continuous Function from One Sample
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
Abhimanyu Das, David Kempe
TCS
2010
15 years 3 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel