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ICML
2010
IEEE
14 years 10 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...
CVPR
2007
IEEE
15 years 11 months ago
Fast, Approximately Optimal Solutions for Single and Dynamic MRFs
A new efficient MRF optimization algorithm, called FastPD, is proposed, which generalizes -expansion. One of its main advantages is that it offers a substantial speedup over that ...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios
WINE
2010
Springer
153views Economy» more  WINE 2010»
14 years 7 months ago
Approximation Schemes for Sequential Posted Pricing in Multi-unit Auctions
We design algorithms for computing approximately revenue-maximizing sequential postedpricing mechanisms (SPM) in K-unit auctions, in a standard Bayesian model. A seller has K copi...
Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Y...
ICCAD
1999
IEEE
101views Hardware» more  ICCAD 1999»
15 years 2 months ago
Efficient model reduction of interconnect via approximate system gramians
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
Jing-Rebecca Li, Jacob White
RECOMB
1997
Springer
15 years 1 months ago
A more efficient approximation scheme for tree alignment
We present a new polynomial time approximation scheme (PTAS) for tree alignment, which is an important variant of multiple sequence alignment. As in the existing PTASs in the liter...
Lusheng Wang, Tao Jiang, Dan Gusfield