Nicholas J. Foti

According to our database, Nicholas J. Foti authored at least 20 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Neural Granger Causality.

Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US.

Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox

npj Digit. Medicine, 2021

Breiman's two cultures: You don't have to choose sides.

Andrew C. Miller, Nicholas J. Foti, Emily B. Fox

CoRR, 2021

2020

Learning Insulin-Glucose Dynamics in the Wild.

Andrew C. Miller, Nicholas J. Foti, Emily B. Fox

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Stochastic Gradient MCMC for State Space Models.

Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox

SIAM J. Math. Data Sci., 2019

Adaptively Truncating Backpropagation Through Time to Control Gradient Bias.

Christopher Aicher, Nicholas J. Foti, Emily B. Fox

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

The cultural evolution of national constitutions.

Daniel N. Rockmore, Chen Fang, Nicholas J. Foti, Tom Ginsburg, David C. Krakauer

J. Assoc. Inf. Sci. Technol., 2018

Disentangled VAE Representations for Multi-Aspect and Missing Data.

Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox

CoRR, 2018

Interpretable VAEs for nonlinear group factor analysis.

Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox

CoRR, 2018

oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis.

Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Variational Boosting: Iteratively Refining Posterior Approximations.

Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Gradient MCMC Methods for Hidden Markov Models.

Yi-An Ma, Nicholas J. Foti, Emily B. Fox

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models.

Nicholas J. Foti, Sinead A. Williamson

IEEE Trans. Pattern Anal. Mach. Intell., 2015

The Intrafirm Complexity of Systemically Important Financial Institutions.

Robin L. Lumsdaine, Daniel N. Rockmore, Nicholas J. Foti, Gregory Leibon, J. Doyne Farmer

CoRR, 2015

Bayesian Structure Learning for Stationary Time Series.

Alex Tank, Nicholas J. Foti, Emily B. Fox

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Streaming Variational Inference for Bayesian Nonparametric Mixture Models.

Alex Tank, Nicholas J. Foti, Emily B. Fox

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Stochastic variational inference for hidden Markov models.

Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

A unifying representation for a class of dependent random measures.

Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Slice sampling normalized kernel-weighted completely random measure mixture models.

Nicholas J. Foti, Sinead Williamson

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Using Hierarchical Change Mining to Manage Network Security Policy Evolution.

Gabriel A. Weaver, Nicholas J. Foti, Sergey Bratus, Daniel N. Rockmore, Sean W. Smith

Proceedings of the USENIX Workshop on Hot Topics in Management of Internet, 2011