A Locally Adaptive Normal Distribution
Georgios Arvanitidis, Lars K. Hansen, Søren Hauberg
–Neural Information Processing Systems
The underlyingmetricis,however,non-parametric.Wedevelopamaximumlikelihood algorithm to infer the distribution parameters that relies on a combination of gradient descent and Monte Carlo integration. We further extend the LAND to mixture models, andprovidethecorresponding EMalgorithm.
Neural Information Processing Systems
Feb-18-2026, 21:01:05 GMT
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