Publications [#338654] of Lawrence Carin
Papers Published
- 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 2017-December (January, 2017): 5496-5504.
(last updated on 2024/03/28)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.