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Nicholas J. Foti
Person information
- affiliation: Dartmouth College, Department of Computer Science
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Journal Articles
- 2022
- [j5]Alex Tank
, Ian Covert
, Nicholas J. Foti, Ali Shojaie
, Emily B. Fox
:
Neural Granger Causality. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4267-4279 (2022) - 2021
- [j4]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) - 2019
- [j3]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): 555-587 (2019) - 2018
- [j2]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): 483-494 (2018) - 2015
- [j1]Nicholas J. Foti, Sinead A. Williamson:
A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 359-371 (2015)
Conference and Workshop Papers
- 2020
- [c11]Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
Learning Insulin-Glucose Dynamics in the Wild. MLHC 2020: 172-197 - 2019
- [c10]Christopher Aicher, Nicholas J. Foti, Emily B. Fox:
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. UAI 2019: 799-808 - 2018
- [c9]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: 119-128 - 2017
- [c8]Yi-An Ma, Nicholas J. Foti, Emily B. Fox:
Stochastic Gradient MCMC Methods for Hidden Markov Models. ICML 2017: 2265-2274 - [c7]Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams:
Variational Boosting: Iteratively Refining Posterior Approximations. ICML 2017: 2420-2429 - 2015
- [c6]Alex Tank, Nicholas J. Foti, Emily B. Fox:
Streaming Variational Inference for Bayesian Nonparametric Mixture Models. AISTATS 2015 - [c5]Alex Tank, Nicholas J. Foti, Emily B. Fox:
Bayesian Structure Learning for Stationary Time Series. UAI 2015: 872-881 - 2014
- [c4]Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox:
Stochastic variational inference for hidden Markov models. NIPS 2014: 3599-3607 - 2013
- [c3]Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson:
A unifying representation for a class of dependent random measures. AISTATS 2013: 20-28 - 2012
- [c2]Nicholas J. Foti, Sinead Williamson:
Slice sampling normalized kernel-weighted completely random measure mixture models. NIPS 2012: 2249-2257 - 2011
- [c1]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
Informal and Other Publications
- 2021
- [i11]Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
Breiman's two cultures: You don't have to choose sides. CoRR abs/2104.12219 (2021) - 2020
- [i10]Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
Learning Insulin-Glucose Dynamics in the Wild. CoRR abs/2008.02852 (2020) - 2019
- [i9]Christopher Aicher, Nicholas J. Foti, Emily B. Fox:
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. CoRR abs/1905.07473 (2019) - 2018
- [i8]Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox:
Interpretable VAEs for nonlinear group factor analysis. CoRR abs/1802.06765 (2018) - [i7]Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox:
Disentangled VAE Representations for Multi-Aspect and Missing Data. CoRR abs/1806.09060 (2018) - [i6]Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox:
Stochastic Gradient MCMC for State Space Models. CoRR abs/1810.09098 (2018) - 2017
- [i5]Daniel N. Rockmore, Chen Fang, Nicholas J. Foti, Tom Ginsburg, David C. Krakauer:
The Cultural Evolution of National Constitutions. CoRR abs/1711.06899 (2017) - 2016
- [i4]Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams:
Variational Boosting: Iteratively Refining Posterior Approximations. CoRR abs/1611.06585 (2016) - 2015
- [i3]Robin L. Lumsdaine, Daniel N. Rockmore, Nicholas J. Foti, Gregory Leibon, J. Doyne Farmer:
The Intrafirm Complexity of Systemically Important Financial Institutions. CoRR abs/1505.02305 (2015) - 2012
- [i2]Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore, Sinead Williamson:
A unifying representation for a class of dependent random measures. CoRR abs/1211.4753 (2012) - [i1]Nicholas J. Foti, Sinead Williamson:
A survey of non-exchangeable priors for Bayesian nonparametric models. CoRR abs/1211.4798 (2012)
Coauthor Index
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