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IJCAI
2001
13 years 9 months ago
The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
SODA
2010
ACM
143views Algorithms» more  SODA 2010»
13 years 6 months ago
Thin Partitions: Isoperimetric Inequalities and a Sampling Algorithm for Star Shaped Bodies
Star-shaped bodies are an important nonconvex generalization of convex bodies (e.g., linear programming with violations). Here we present an efficient algorithm for sampling a giv...
Karthekeyan Chandrasekaran, Daniel Dadush, Santosh...
SIAMJO
2011
13 years 2 months ago
A Unifying Polyhedral Approximation Framework for Convex Optimization
Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...
Dimitri P. Bertsekas, Huizhen Yu
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
Algorithmic Verification of Single-Pass List Processing Programs
We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) seque...
Rajeev Alur, Pavol Cerný
ICASSP
2008
IEEE
14 years 2 months ago
Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm
In this paper, a new approach for decoding real-field codes based on finding sparse solutions of underdetermined linear systems is proposed. This algorithm iteratively estimates...
Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutt...