bookmarks (hide)10
- Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
- Stan modeling language and C++ library for Bayesian inference. NUTS adaptive HMC (MCMC) sampling, automatic differentiation, R, shell interfaces. Gelman.
publications (hide)31
- Machine Learning, 112 (6): 1941--1973 (Jun 1, 2023)
- (2022)cite arxiv:2210.01679Comment: 37 pages, 12 figures.
- Data Mining and Knowledge Discovery, 34 (5): 1267--1290 (Sep 1, 2020)
- ACM Trans. Web, (June 2017)
- Proceedings of the 31st International Conference on Neural Information Processing Systems, page 5580–5590. Red Hook, NY, USA, Curran Associates Inc., (2017)
- Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, page 965--974. ACM, (2016)
- (2019)cite arxiv:1901.02731Comment: arXiv admin note: text overlap with arXiv:1506.02158, arXiv:1703.04977 by other authors.
- Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, page 452--461. Arlington, Virginia, United States, AUAI Press, (2009)
- Machine Learning and Knowledge Discovery in Databases, page 354--357. Cham, Springer International Publishing, (2017)
- Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 354--357. Springer, (2017)
- Data Mining and Knowledge Discovery, (Jul 7, 2017)
- Data Mining and Knowledge Discovery, (Jul 7, 2017)
- KDD, page 965-974. ACM, (2016)
- WWW (Companion Volume), page 17-18. ACM, (2016)
- (2014)
- Journal of Machine Learning Research, 15 (1): 3133--3181 (January 2014)
- (2004)
- (2014)cite arxiv:1411.2844.
- page 569-576. MIT Press, (2007)
- Proceedings of the 22nd international conference on World Wide Web, page 1377--1388. International World Wide Web Conferences Steering Committee, (2013)
