Aleksandr Karakulev

Adaptive Robust Learning using Latent Bernoulli Variables

We present an adaptive approach for robust learning from corrupted training sets. We identify corrupted and non-corrupted samples with latent Bernoulli variables and thus formulate the learning problem as maximization of the likelihood where latent variables are marginalized. The resulting problem i…