Belief Flows of Robust Online Learning

CoRR, Volume abs/1505.07067, 2015.

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This paper introduces a new probabilistic model for online learning which dynamically incorporates information from stochastic gradients of an arbitrary loss function. Similar to probabilistic filtering, the model maintains a Gaussian belief over the optimal weight parameters. Unlike traditional Bayesian updates, the model incorporates ...更多

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