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ISIPTA
1999
IEEE
114views Mathematics» more  ISIPTA 1999»
15 years 4 months ago
Lower Desirability Functions: A Convenient Imprecise Hierarchical Uncertainty Model
I introduce and study a fairly general imprecise secondorder uncertainty model, in terms of lower desirability. A modeller's lower desirability for a gamble is defined as her...
Gert De Cooman
90
Voted
STOC
2002
ACM
107views Algorithms» more  STOC 2002»
16 years 20 days ago
Quantum lower bound for the collision problem
The collision problem is to decide whether a function X : {1, . . . , n} {1, . . . , n} is one-to-one or two-to-one, given that one of these is the case. We show a lower bound of...
Scott Aaronson
ISIPTA
2003
IEEE
15 years 5 months ago
Computing Lower Expectations with Kuznetsov's Independence Condition
Kuznetsov’s condition says that variables X and Y are independent when any product of bounded functions f(X) and g(Y) behaves in a certain way: the interval of expected values E...
Fabio Gagliardi Cozman
141
Voted
SIAMCOMP
2010
97views more  SIAMCOMP 2010»
14 years 7 months ago
Lower Bounds for Randomized Consensus under a Weak Adversary
This paper studies the inherent trade-off between termination probability and total step complexity of randomized consensus algorithms. It shows that for every integer k, the prob...
Hagit Attiya, Keren Censor-Hillel
CORR
2008
Springer
65views Education» more  CORR 2008»
15 years 14 days ago
A Lower Bound on the Bayesian MSE Based on the Optimal Bias Function
A lower bound on the minimum mean-squared error (MSE) in a Bayesian estimation problem is proposed in this paper. This bound utilizes a well-known connection to the deterministic e...
Zvika Ben-Haim, Yonina C. Eldar