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ICML
2010
IEEE
15 years 7 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ICALP
1997
Springer
15 years 10 months ago
The Theory of Vaccines
Despite the major role that modularity occupies in computer science, all the known results on modular analysis only treat particular problems, and there is no general unifying the...
Massimo Marchiori
ICS
2007
Tsinghua U.
16 years 13 days ago
GridRod: a dynamic runtime scheduler for grid workflows
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
Shahaan Ayyub, David Abramson
IFM
2010
Springer
190views Formal Methods» more  IFM 2010»
15 years 4 months ago
On Model Checking Techniques for Randomized Distributed Systems
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Christel Baier
ESOP
2009
Springer
16 years 1 months ago
Modular Monad Transformers
Abstract. During the last two decades, monads have become an indispensable tool for structuring functional programs with computational effects. In this setting, the mathematical n...
Mauro Jaskelioff