Publications [#338654] of Lawrence Carin

Papers Published

1. Li, C; Liu, H; Chen, C; Pu, Y; Chen, L; Henao, R; Carin, L, ALICE: Towards understanding adversarial learning for joint distribution matching, Advances in Neural Information Processing Systems, vol. 2017-December (January, 2017), pp. 5496-5504
   (last updated on 2024/12/31)

   Abstract:
   We investigate the non-identifiability issues associated with bidirectional adversarial training for joint distribution matching. Within a framework of conditional entropy, we propose both adversarial and non-adversarial approaches to learn desirable matched joint distributions for unsupervised and supervised tasks. We unify a broad family of adversarial models as joint distribution matching problems. Our approach stabilizes learning of unsupervised bidirectional adversarial learning methods. Further, we introduce an extension for semi-supervised learning tasks. Theoretical results are validated in synthetic data and real-world applications.