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» Approximate Inference and Constrained Optimization
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JMLR
2008
209views more  JMLR 2008»
13 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
SPAA
1999
ACM
13 years 12 months ago
Time-Constrained Scheduling of Weighted Packets on Trees and Meshes
The time-constrained packet routing problem is to schedule a set of packets to be transmitted through a multinode network, where every packet has a source and a destination (as in ...
Micah Adler, Sanjeev Khanna, Rajmohan Rajaraman, A...
ALGOSENSORS
2004
Springer
14 years 29 days ago
Balanced Data Gathering in Energy-Constrained Sensor Networks
We consider the problem of gathering data from a wireless multi-hop network of energy-constrained sensor nodes to a common base station. Specifically, we aim to balance the total...
Emil Falck, Patrik Floréen, Petteri Kaski, ...
IJCAI
2003
13 years 9 months ago
Approximating Optimal Policies for Agents with Limited Execution Resources
An agent with limited consumable execution resources needs policies that attempt to achieve good performance while respecting these limitations. Otherwise, an agent (such as a pla...
Dmitri A. Dolgov, Edmund H. Durfee
UAI
2008
13 years 9 months ago
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
Tamir Hazan, Amnon Shashua