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» A language for multiple models of computation
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ESOP
2012
Springer
14 years 2 months ago
The Call-by-Need Lambda Calculus, Revisited
The existing call-by-need λ calculi describe lazy evaluation via equational logics. A programmer can use these logics to safely ascertain whether one term is behaviorally equivale...
Stephen Chang, Matthias Felleisen
JMLR
2012
13 years 9 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
EUROSYS
2010
ACM
16 years 23 days ago
PUSH: A Dataflow Shell
The deluge of huge data sets such as those provided by sensor networks, online transactions, and the web provide exciting opportunities for data analysis. The scale of the data ...
Noah Evans, Eric Van Hensbergen
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 2 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
178
Voted
SMA
2006
ACM
101views Solid Modeling» more  SMA 2006»
16 years 17 days ago
A higher dimensional formulation for robust and interactive distance queries
We present an efficient and robust algorithm for computing the minimum distance between a point and freeform curve or surface by lifting the problem into a higher dimension. This...
Joon-Kyung Seong, David E. Johnson, Elaine Cohen