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Scaling Multidimensional Gaussian Processes using Projected Additive Approximations.

E. Gilboa, Y. Saatçi, и J. Cunningham. ICML (1), том 28 из JMLR Workshop and Conference Proceedings, стр. 454-461. JMLR.org, (2013)

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Scaling Multidimensional Gaussian Processes using Projected Additive Approximations.E. Gilboa, Y. Saatçi, и J. Cunningham. ICML (1), том 28 из JMLR Workshop and Conference Proceedings, стр. 454-461. JMLR.org, (2013)Gaussian Process Change Point Models.Y. Saatci, R. Turner, и C. Rasmussen. ICML, стр. 927-934. Omnipress, (2010)Cascaded Classification of Gender and Facial Expression using Active Appearance Models.Y. Saatci, и C. Town. FGR, стр. 393-400. IEEE Computer Society, (2006)Beam sampling for the infinite hidden Markov model.J. Gael, Y. Saatci, Y. Teh, и Z. Ghahramani. ICML, том 307 из ACM International Conference Proceeding Series, стр. 1088-1095. ACM, (2008)Beam Sampling for the Infinite Hidden Markov ModelJ. Van Gael, Y. Saatci, Y. Teh, и Z. Ghahramani. Proceedings of the International Conference on Machine learning (ICML), (2008)Adaptive Sequential Bayesian Change Point DetectionR. Turner, Y. Saatci, и C. Rasmussen. Advances in Neural Information Processing Systems (NIPS): Temporal Segmentation Workshop, (2009)Metropolis-Hastings Generative Adversarial NetworksR. Turner, J. Hung, Y. Saatci, и J. Yosinski. (2018)cite arxiv:1811.11357.Bayesian GAN.Y. Saatci, и A. Wilson. NIPS, стр. 3622-3631. (2017)