Bayesian Nonlinear Support Vector Machines for Big Data

18 Jul 2017Florian WenzelTheo Galy-FajouMatthaeus DeutschMarius Kloft

We propose a fast inference method for Bayesian nonlinear support vector machines that leverages stochastic variational inference and inducing points. Our experiments show that the proposed method is faster than competing Bayesian approaches and scales easily to millions of data points... (read more)

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