1. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng. “TensorFlow: Large-scale machine learning on heterogeneous systems”. In: arXiv:1603.04467 (2015). Software available from tensorflow.org.
2. R. A. Adams and J. J. F. Fournier. Sobolev spaces. 2nd edition. Vol. 140. Academic Press, 2006.
3. J. H. Ahrens and U. Dieter. “Computer methods for sampling from Gamma, Beta, Poisson and Binomial distributions”. In: Computing 12.3 (1974), pp. 223–246.
4. P. Alquier and M. Gerber. “Universal robust regression via maximum mean discrepancy”. In: arXiv:2006.00840 1 (2020).
5. B. C. Arnold and H. K. T. Ng. “Flexible bivariate beta distributions”. In: Journal of Multivariate Analysis 102.8 (2011), pp. 1194–1202.