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ICML
2010
IEEE
13 years 8 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...
AUTOMATICA
2008
127views more  AUTOMATICA 2008»
13 years 7 months ago
On decentralized negotiation of optimal consensus
A consensus problem consists of finding a distributed control strategy that brings the state or output of a group of agents to a common value, a consensus point. In this paper, we...
Björn Johansson, Alberto Speranzon, Mikael Jo...
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 2 months ago
Distributed constrained optimization over noisy networks
In this paper we deal with two problems which are of great interest in the field of distributed decision making and control. The first problem we tackle is the problem of achieving...
Kunal Srivastava, Angelia Nedic, Dusan M. Stipanov...
TWC
2008
135views more  TWC 2008»
13 years 7 months ago
Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks
A novel framework was introduced recently for stochastic routing in wireless multihop networks, whereby each node selects a neighbor to forward a packet according to a probability...
Alejandro Ribeiro, Nikolas D. Sidiropoulos, Georgi...
SECON
2008
IEEE
14 years 1 months ago
On Distributed Optimization Using Peer-to-Peer Communications in Wireless Sensor Networks
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
Björn Johansson, Cesare M. Carretti, Mikael J...