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Fix the optimisation #42

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jamesrobertlloyd opened this issue Feb 28, 2013 · 1 comment
Open

Fix the optimisation #42

jamesrobertlloyd opened this issue Feb 28, 2013 · 1 comment

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@jamesrobertlloyd
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This means both

  • ensuring local extrema are reached so Laplace approx valid
  • jittering previously learned parameter values to avoid having to multiply by constant kernels
@jamesrobertlloyd
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Have experimented with latest version of GPML optimiser - same local extremum problems around - asking Carl. Might be instructive to try the failure example in GPy to see if it exists there as well.

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