Fetching the paper…
Reading the bibliography…
There is a widespread need for techniques that can discover structure from time series data.
Structured priors for structure learning
Vikash Mansinghka, Charles Kemp, Thomas Griffiths, and Joshua Tenenbaum · 2006
Earlier work this paper cites.
Gaussian Processes for Machine Learning
Carl Rasmussen and Christopher Williams · 2006
Earlier work this paper cites.
Evaluating derivatives: principles and techniques of algorithmic differentiation
Andreas Griewank and Andrea Walther · 2008
Earlier work this paper cites.
Gaussian processes for machine learning (gpml) toolbox
Carl Rasmussen and Hannes Nickisch · 2010
Earlier work this paper cites.
Exploiting compositionality to explore a large space of model structures
Roger Grosse, Ruslan Salakhutdinov, William Freeman, and Joshua Tenenbaum · 2012
Cited alongside, same era.
Structure discovery in nonparametric regression through compositional kernel search
David Duvenaud, James Lloyd, Roger Grosse, Joshua Tenenbaum, and Zoubin Ghahramani · 2013
Cited alongside, same era.
Automatic construction and natural-language description of nonparametric regression models
James Lloyd, David Duvenaud, Roger Grosse, Joshua Tenenbaum, and Zoubin Ghahramani · 2014
Cited alongside, same era.
Venture: a higher-order probabilistic programming platform with programmable inference
Vikash Mansinghka, Daniel Selsam, and Yura Perov · 2014
Cited alongside, same era.
Probabilistic programming with Gaussian process memoization
Ulrich Schaechtle, Ben Zinberg, Alexey Radul, Kostas Stathis, and Vikash Mansinghka · 2015
Later among the works it cites.
Automatic generation of probabilistic programming from time series data
Anh Tong and Jaesik Choi · 2016
Closest in time.
Stan: A probabilistic programming language
Bob Carpenter, Andrew Gelman, Matthew Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, and Allen Riddell · 2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…