Search results
Results: 154
Number of items: 154
-
Cohen, T. S., & Welling, M. (2015). Transformation Properties of Learned Visual Representations. In ICLR 2015: accepted papers - Main Conference - Poster Presentations ArXiv. http://arxiv.org/abs/1412.7659 -
Chen, Y., Gelfand, A. E., & Welling, M. (2014). Herding for Structured Prediction. In S. Nowozin, P. V. Gehler, J. Jancsary, & C. H. Lampert (Eds.), Advanced structured prediction (pp. 187-212). (Neural information processing series). The MIT Press. https://mitpress.mit.edu/books/advanced-structured-prediction
-
Burges, C. J. C., Bottou, L., Welling, M., Ghahramani, Z., & Weinberger, K. Q. (2014). 27th Annual Conference on Neural Information Processing Systems 2013: December 5-10, Lake Tahoe, Nevada, USA. (Advances in Neural Information Processing Systems; Vol. 26). Curran. http://papers.nips.cc/book/advances-in-neural-information-processing-systems-26-2013
-
Meeds, E., & Welling, M. (2014). GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation. In N. Zhang, & J. Tian (Eds.), Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence: Quebec City, Quebec, Canada: July 23-27, 2014: UAI2014 (pp. 593-602). AUAI Press. http://auai.org//uai2014/proceedings/uai-2014-proceedings.pdf
-
Welling, M. (2014). Van veel data, snelle computers en complexe modellen tot lerende machines. (Oratiereeks). Universiteit van Amsterdam. http://www.oratiereeks.nl/upload/pdf/PDF-8573weboratie_Welling_HR.pdf
-
Korattikara, A., Chen, Y., & Welling, M. (2014). Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. JMLR Workshop and Conference Proceedings, 32, 181-189. http://jmlr.org/proceedings/papers/v32/korattikara14.html
-
Ahn, S., Shahbaba, B., & Welling, M. (2014). Distributed Stochastic Gradient MCMC. JMLR Workshop and Conference Proceedings, 32, 1044-1052. http://jmlr.org/proceedings/papers/v32/ahn14.html
-
DuBois, C., Korattikara, A., Welling, M., & Smyth, P. (2014). Approximate Slice Sampling for Bayesian Posterior Inference. JMLR Workshop and Conference Proceedings, 33, 185-193. http://jmlr.org/proceedings/papers/v33/dubois14.html
-
Kingma, D. P., & Welling, M. (2014). Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets. JMLR Workshop and Conference Proceedings, 32, 1782-1790. http://jmlr.org/proceedings/papers/v32/kingma14.html
-
Meeds, E., Hendriks, R., al Faraby, S., Bruntink, M., & Welling, M. (2014). MLitB: Machine Learning in the Browser. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.1412.2432
Page 14 of 16