Publications [#338737] of Lawrence Carin

Papers Published

1. Henao, R; Yuan, X; Carin, L, Bayesian nonlinear support vector machines and discriminative factor modeling, Advances in Neural Information Processing Systems, vol. 2 no. January (January, 2014), pp. 1754-1762
   (last updated on 2024/12/31)

   Abstract:
   A new Bayesian formulation is developed for nonlinear support vector machines (SVMs), based on a Gaussian process and with the SVM hinge loss expressed as a scaled mixture of normals. We then integrate the Bayesian SVM into a factor model, in which feature learning and nonlinear classifier design are performed jointly; almost all previous work on such discriminative feature learning has assumed a linear classifier. Inference is performed with expectation conditional maximization (ECM) and Markov Chain Monte Carlo (MCMC). An extensive set of experiments demonstrate the utility of using a nonlinear Bayesian SVM within discriminative feature learning and factor modeling, from the standpoints of accuracy and interpretability.