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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 6 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
ISTCS
1995
Springer
15 years 3 months ago
Some Improvements to Total Degree Tests
A low-degree test is a collection of simple, local rules for checking the proximity of an arbitrary function to a lowdegree polynomial. Each rule depends on the function’s value...
Katalin Friedl, Madhu Sudan
EUROCRYPT
2004
Springer
15 years 5 months ago
On the Hardness of Information-Theoretic Multiparty Computation
We revisit the following open problem in information-theoretic cryptography: Does the communication complexity of unconditionally secure computation depend on the computational com...
Yuval Ishai, Eyal Kushilevitz
FOCS
1989
IEEE
15 years 3 months ago
Constant Depth Circuits, Fourier Transform, and Learnability
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
Nathan Linial, Yishay Mansour, Noam Nisan
SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
15 years 5 months ago
Applying learning algorithms to preference elicitation
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Sébastien Lahaie, David C. Parkes