Exact inference for integer latent-variable models by Kevin Winner, Debora Sujono, and Daniel Sheldon. In Proceedings of the 34th International Conference on Machine Learning - Volume 39, 2017.
You can also find my articles on my Google Scholar profile.
Probabilistic inference with generating functions for Poisson latent variable models by Kevin Winner and Daniel Sheldon. In Advances in Neural Information Processing Systems 30, 2016.
A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA by Andrew Farnsworth, Benjamin Mark Van Doren, Wesley M. Hochachka, Daniel Sheldon, Kevin Winner, Jed Irvine, Jeffrey Geevarghese, and Steve Kelling. Ecological Applications, 26(3):752–770, 2016.
Migration timing and its determinants for nocturnal migratory birds during autumn migration by Frank A. La Sorte, Wesley M. Hochachka, Andrew Farnsworth, Daniel Sheldon, Daniel Fink, Jeffrey Geevarghese, Kevin Winner, Benjamin M. Van Doren, and Steve Kelling. (2015). Journal of Animal Ecology, 84(5):1202–1212, 2015.
Inference in a partially observed queueing model with applications in ecology by Kevin Winner, Garrett Bernstein, and Daniel Sheldon. In Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pages 2512-2520. JMLR Workshop and Conference Proceedings, 2015.
Inference in a partially observed queueing model with applications in ecology by Kevin Winner and Daniel Sheldon. In AAAI 2015 Workshop on Computational Sustainability, 2015.
Visualizing Uncertainty in Predictive Models, pages 61–69 by Penny Rheingans, Marie desJardins, Wallace Brown, Alex Morrow, Doug Stull, and Kevin Winner. Springer London, London, 2014