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UAI
2004
13 years 11 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
14 years 4 months ago
Stochastic multiscale approaches to consensus problems
Abstract— While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with ...
Jong-Han Kim, Matthew West, Sanjay Lall, Eelco Sch...
SGAI
2004
Springer
14 years 3 months ago
Resource Allocation in Communication Networks Using Market-Based Agents
This work describes a system that allocates end-to-end bandwidth, in a switched meshed communications network. The solution makes use of market-based software agents that compete ...
Nadim Haque, Nicholas R. Jennings, Luc Moreau
STOC
1997
ACM
111views Algorithms» more  STOC 1997»
14 years 1 months ago
The Swendsen-Wang Process Does Not Always Mix Rapidly
The Swendsen-Wang process provides one possible dynamics for the Qstate Potts model in statistical physics. Computer simulations of this process are widely used to estimate the ex...
Vivek Gore, Mark Jerrum
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
13 years 4 months ago
Generalized multicircumcenter trajectories for optimal design under near-independence
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
Rishi Graham, Jorge Cortés