Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning

12 Mar 2020Christopher ZachHuu Le

Optimization problems with an auxiliary latent variable structure in addition to the main model parameters occur frequently in computer vision and machine learning. The additional latent variables make the underlying optimization task expensive, either in terms of memory (by maintaining the latent variables), or in terms of runtime (repeated exact inference of latent variables)... (read more)

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