Tank, A., Covert, I., Foti, N. J., Shojaie, A., & Fox, E. B. Neural Granger causality selection for nonlinear time series. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Refereed Publications
Ainsworth, S., Foti, N. J., Lee, A. K. C., & Fox, E. B. (2017). Interpretable VAEs for nonlinear group factor analysis. International Conference on Machine Learning (ICML).
Foti, N. J., & Fox, E. B. (2018). Comment: Nonparametric Bayes Modeling of Populations of Networks. Journal of American Statistical Association, 112(520), 1539–1543.
Miller, A. C., Foti, N. J., D’Amour, A., & Adams, R. P. (2017). Reducing reparameterization gradient variance for Monte Carlo variational inference. In Neural Information Processing Systems (NIPS).
Miller, A. C., Foti, N. J., & Adams, R. P. (2017). Variational boosting: Iteratively refining posterior approximations. In International Conference on Machine Learning (ICML).
Ma, Y., Foti, N. J., & Fox, E. B. (2017). Stochastic gradient MCMC methods for hidden Markov models. In International Conference on Machine Learning (ICML).
Tank, A., Foti, N. J., & Fox, E. B. (2015). Bayesian structure learning for stationary time series. In Uncertainty in Artificial Intelligence (UAI).
Tank, A., Foti, N. J., & Fox, E. B. (2015). Streaming variational inference for Bayesian nonparametric
mixture models. In Artificial Intelligence and Statistics (AISTATS).
Foti, N. J., Xu, J., Laird, D., & Fox, E. B. (2014). Stochastic variational inference for hidden Markov models. In Neural Information Processing Systems (NIPS).
Foti, N. J., & Williamson, S. A. (2015). A survey of non-exchangeable priors for Bayesian nonparametric
models. IEEE Pattern Analysis and Machine Intelligence Special Issue On
Bayesian Nonparametrics.
Caccioli, F., Foti, N. J., Rockmore, D. N., & Farmer, J. D. (2015). Overlapping portfolios, contagion, and financial stability. Journal of Economic Dynamics and Control, 51, 50–63.
Ginsburg, T., Foti, N. J., & Rockmore, D. N. (2015). “We the peoples”: The global original of constitutional
preambles. The George Washington International Law Review, 46(2).
Foti, N. J., Pauls, S., & Rockmore, D. N. (2013). Stability of the World Trade Web over time - An extinction
analysis. Journal of Economic Dynamics and Control, 37(9), 1889–1910.
Foti, N. J., Futoma, J. D., Rockmore, D. N., & Williamson, S. A. (2013). A unifying representation for a class of dependent random
measures. In Artificial Intelligence and Statistics (AISTATS).Notable Paper Award
Foti, N. J., & Williamson, S. A. (2012). Slice sampling normalized kernel-weighted completely random
measure mixture models. In Neural Information Processing Systems (NIPS).
Hughes, J. M., Foti, N. J., Krakauer, D. C., & Rockmore, D. N. (2012). Quantitative patterns of stylistic influence in the evolution of
literature. Proceedings of the National Academy of Sciences, 109(20).
Foti, N. J., Hughes, J. M., & Rockmore, D. N. (2011). Nonparametric sparsification of complex multiscale networks. PLoS ONE, 6(2).