Funder
Impulsing Paradigm Change through Disruptive Technologies Program
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science
Reference11 articles.
1. Chen, Y., Welling, M., Smola, A.: Super-samples from kernel herding. In: Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI), pp. 109–116 (2010)
2. Chen, S., Dick, J., Owen, A.B.: Consistency of Markov chain quasi-Monte Carlo on continuous state spaces. Ann. Stat. 39(2), 673–701 (2011)
3. Chen, Y., Bornn, L., de Freitas, N., Eskelin, M., Fang, J., Welling, M.: Herded Gibbs sampling. J. Mach. Learn. Res. 17(10), 1–29 (2016)
4. Chentsov, N.N.: Pseudorandom numbers for modelling Markov chains. USSR Comput. Math. Math. Phys. 7(3), 218–33 (1967)
5. Dick, J., Rudolf, D., Zhu, H.: Discrepancy bounds for uniformly ergodic Markov chain quasi-Monte Carlo. Ann. Appl. Probab. 26(5), 3178–3205 (2016)
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