Nicholas J. Foti

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 17

Top Topics

Granger Causality

Factor Analysis

Variational Inference

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox
Neural Granger Causality. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US. npj Digit. Medicine 4 (2021)
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Breiman's two cultures: You don't have to choose sides. CoRR (2021)
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Learning Insulin-Glucose Dynamics in the Wild. CoRR (2020)
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Learning Insulin-Glucose Dynamics in the Wild. MLHC (2020)
Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox
Stochastic Gradient MCMC for State Space Models. SIAM J. Math. Data Sci. 1 (3) (2019)
Christopher Aicher, Nicholas J. Foti, Emily B. Fox
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. UAI (2019)
Christopher Aicher, Nicholas J. Foti, Emily B. Fox
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. CoRR (2019)
Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis. ICML (2018)
Daniel N. Rockmore, Chen Fang, Nicholas J. Foti, Tom Ginsburg, David C. Krakauer
The cultural evolution of national constitutions. J. Assoc. Inf. Sci. Technol. 69 (3) (2018)
Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox
Interpretable VAEs for nonlinear group factor analysis. CoRR (2018)
Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox
Stochastic Gradient MCMC for State Space Models. CoRR (2018)
Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox
Disentangled VAE Representations for Multi-Aspect and Missing Data. CoRR (2018)
Yi-An Ma, Nicholas J. Foti, Emily B. Fox
Stochastic Gradient MCMC Methods for Hidden Markov Models. ICML (2017)
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Variational Boosting: Iteratively Refining Posterior Approximations. ICML (2017)
Daniel N. Rockmore, Chen Fang, Nicholas J. Foti, Tom Ginsburg, David C. Krakauer
The Cultural Evolution of National Constitutions. CoRR (2017)
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Variational Boosting: Iteratively Refining Posterior Approximations. CoRR (2016)
Nicholas J. Foti, Sinead A. Williamson
A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Robin L. Lumsdaine, Daniel N. Rockmore, Nicholas J. Foti, Gregory Leibon, J. Doyne Farmer
The Intrafirm Complexity of Systemically Important Financial Institutions. CoRR (2015)
Alex Tank, Nicholas J. Foti, Emily B. Fox
Streaming Variational Inference for Bayesian Nonparametric Mixture Models. AISTATS (2015)
Alex Tank, Nicholas J. Foti, Emily B. Fox
Bayesian Structure Learning for Stationary Time Series. UAI (2015)
Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox
Stochastic variational inference for hidden Markov models. NIPS (2014)
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
A unifying representation for a class of dependent random measures. AISTATS (2013)
Nicholas J. Foti, Sinead Williamson
A survey of non-exchangeable priors for Bayesian nonparametric models CoRR (2012)
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson
A unifying representation for a class of dependent random measures CoRR (2012)
Nicholas J. Foti, Sinead Williamson
Slice sampling normalized kernel-weighted completely random measure mixture models. NIPS (2012)
Gabriel A. Weaver, Nicholas J. Foti, Sergey Bratus, Daniel N. Rockmore, Sean W. Smith
Using Hierarchical Change Mining to Manage Network Security Policy Evolution. Hot-ICE (2011)