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GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
13 years 6 months ago
Focused no free lunch theorems
Proofs and empirical evidence are presented which show that a subset of algorithms can have identical performance over a subset of functions, even when the subset of functions is ...
Darrell Whitley, Jonathan E. Rowe
BIOADIT
2004
Springer
13 years 10 months ago
Searching for a Practical Evidence of the No Free Lunch Theorems
Abstract. According to the No Free Lunch (NFL) theorems all blackbox algorithms perform equally well when compared over the entire set of optimization problems. An important proble...
Mihai Oltean
SIGCOMM
2012
ACM
11 years 7 months ago
Perspectives on network calculus: no free lunch, but still good value
ACM Sigcomm 2006 published a paper [26] which was perceived to unify the deterministic and stochastic branches of the network calculus (abbreviated throughout as DNC and SNC) [39]...
Florin Ciucu, Jens Schmitt
SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
12 years 8 months ago
No free lunch in data privacy
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Daniel Kifer, Ashwin Machanavajjhala
CEC
2010
IEEE
13 years 6 months ago
Beyond No Free Lunch: Realistic algorithms for arbitrary problem classes
In this paper we present a simple and general new No Free Lunch-like result that applies to revisiting algorithms searching arbitrary problem sets. We begin by unifying the assumpt...
James A. R. Marshall, Thomas G. Hinton