Nick Foti

Submitted and Working Papers

  • A. C. Miller, N. J. Foti and R. P. Adams. Variational boosting: Iteratively refining posterior approximations. Submitted to ICML, 2017. [arXiv]
  • Y. Ma, N. J. Foti and E. B. Fox. Stochastic gradient MCMC methods for hidden Markov models. Submitted to ICML, 2017.
  • R. Nadkarni, N. J. Foti, A. K. C. Lee and E. B. Fox. Sparse plus low-rank graphical models of time series to infer functional connectivity from MEG recordings. Submitted to UAI, 2017.
  • A. C. Miller, N. J. Foti, A. D'Amour and R. P. Adams. Reducing reparameterization gradient variance for Monte Carlo variational inference.

2015

  • A. Tank, N. J. Foti and E. B. Fox. Bayesian Structure Learning for Stationary Time Series. Uncertainty in Artificial Intelligence (UAI), 2015. [arXiv]
  • A. Tank, N. J. Foti and E. B. Fox. Streaming variational inference for Bayesian nonparametric mixture models. Artificial Intelligence and Statistics (AISTATS), 2015. [arXiv]

2014

  • N. J. Foti, J. Xu, D. Laird and E. B. Fox. Stochastic variational inference for hidden Markov models. Advances in Neural Information Processing Systems (NIPS), 2014. [paper] [supplement] [code] [bibtex]
  • N. J. Foti and S. Williamson. A survey of non-exchangeable priors for Bayesian nonparametric models. In IEEE PAMI Special Issue on Bayesian Nonparametrics.
  • F. Caccioli, N. J. Foti, D. N. Rockmore and J. D. Farmer. Overlapping portfolios, contagion, and financial stability. Journal of Economic Dynamics and Control, Vol. 51, February 2015, pages 50-63.
  • T. Ginsburg, N. J. Foti and D. N. Rockmore. "We the peoples": The global origins of constitutional preambles. The George Washington International Law Review, in press. [bibtex]

2013

  • N. J. Foti, S. Pauls and D. N. Rockmore. Stability of the World Trade Web over time - An extinction analysis Journal of Economic Dynamics and Control, Vol. 37, No. 9, 2013. [bibtex]
  • N. J. Foti, J. D. Futoma, D. N. Rockmore, and S. Williamson. A unifying representation for a class of dependent random measures. Artificial Intelligence and Statistics (AISTATS), 2013. Notable paper award. [paper] [supplement] [code] [bibtex]

2012

  • N. J. Foti and S. Williamson. Slice sampling normalized kernel-weighted completely random measure mixture models. Advances in Neural Information Processing Systems (NIPS), 2012. [paper] [supplement] [code] [bibtex]
  • J. M. Hughes, N. J. Foti, D.C. Krakauer, and D. N. Rockmore. Quantitative patterns of stylistic influence in the evolution of literature. Proceedings of the National Academy of Sciences, Vol. 109, No. 20, 2012. [paper] [bibtex]

2011

  • N. J. Foti, J. M. Hughes, and D. N. Rockmore. Nonparametric sparsification of complex multiscale networks. PLoS ONE, Vol. 6, No. 2, 2011. [paper] [bibtex]

Workshop Papers and Posters

  • N. J. Foti, R. Nadkarni, A. K. C. Lee and E. B. Fox. Sparse plus low-rank graphical models of time series for functional connectivity in MEG. SIGKDD Workshop on Mining and Learning from Time Series, 2016.
  • A. Tank, N. J. Foti, and E. B. Fox. Streaming variational inference for normalized random measure mixture models, Poster. NIPS Workshop on Advances in Variational Inference, 2014.
  • N. J. Foti and S. Williamson. Slice sampling normalized kernel-weighted completely random measure mixture models, Poster. ICERM Workshop on Bayesian Nonparametrics, Providence, RI, 2012.
  • N. J. Foti. Dependent random measures for latent factor models, Poster. 8th Workshop on Bayesian Nonparametrics, Veracruz, Mexico, 2011.
  • N. J. Foti, D. N. Rockmore, S. Pauls, and T. Kastelle. A longitudinal analysis of the World Trade Web, Talk. 15th International Conference on Computing in Economics and Finance, Sydney, Australia, 2009.