Fetching the paper…
Reading the bibliography…
In application domains such as healthcare, we want accurate predictive models that are also causally interpretable.
Is uniformitarianism necessary?
Gould, S. J. (1965) · 1965
Earlier work this paper cites.
Maximum likelihood estimation of misspecified models
White, H. (1982) · 1982
Earlier work this paper cites.
Causality
Pearl, J. (2000) · 2000
Earlier work this paper cites.
Statistical modeling: The two cultures
Breiman, L. et al. (2001) · 2001
Earlier work this paper cites.
Optimal structure identification with greedy search
Chickering, D. M. (2002) · 2002
Earlier work this paper cites.
Causal models as minimal descriptions of multivariate systems
Lemeire, J. and E. Dirkx (2006) · 2006
Earlier work this paper cites.
Causal feature selection
Guyon, I., C. Aliferis, and A. Elisseeff (2007) · 2007
Earlier work this paper cites.
Estimating high-dimensional directed acyclic graphs with the pc-algorithm
Kalisch, M. and P. Bühlmann (2007) · 2007
Earlier work this paper cites.
Causal and non-causal feature selection for ridge regression
Cawley, G. C. (2008) · 2008
Earlier work this paper cites.
Graphical models, exponential families, and variational inference
Wainwright, M. J. and M. I. Jordan (2008) · 2008
Earlier work this paper cites.
Causal filter selection in microarray data
Bontempi, G. and P. E. Meyer (2010) · 2010
Cited alongside, same era.
Inferring deterministic causal relations
Daniusis, P., D. Janzing, J. Mooij, J. Zscheischler, B. Steudel, K. Zhang, and B. Schölkopf (2010) · 2010
Cited alongside, same era.
Causal inference using the algorithmic markov condition
Janzing, D. and B. Scholkopf (2010) · 2010
Cited alongside, same era.
To explain or to predict?
Shmueli, G. (2010) · 2010
Cited alongside, same era.
Introduction to causal inference
Spirtes, P. (2010) · 2010
Cited alongside, same era.
Learning high-dimensional directed acyclic graphs with latent and selection variables
Colombo, D., M. H. Maathuis, M. Kalisch, and T. S. Richardson (2012) · 2012
Cited alongside, same era.
Glove: Global vectors for word representation
Pennington, J., R. Socher, and C. D. Manning (2014) · 2014
Later among the works it cites.
Causal inference using invariant prediction: identification and confidence intervals
Peters, J., P. Bühlmann, and N. Meinshausen (2015) · 2015
Later among the works it cites.
Causal transfer in machine learning
Rojas-Carulla, M., B. Schölkopf, R. Turner, and J. Peters (2015) · 2015
Later among the works it cites.
Using causal discovery for feature selection in multivariate numerical time series
Sun, Y., J. Li, J. Liu, C. Chow, B. Sun, and R. Wang (2015) · 2015
Later among the works it cites.
Estimating the causal direction and confounding of two discrete variables
Chalupka, K., F. Eberhardt, and P. Perona (2016) · 2016
Later among the works it cites.
Mimic-iii, a freely accessible critical care database
Johnson, A. E., T. J. Pollard, L. Shen, L.-w. H. Lehman, M. Feng, M. Ghassemi, B. Moody, P. Szolovits, L. A. Celi, and R. G. Mark (2016) · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
On causal and anticausal learning
Janzing, D., J. Peters, E. Sgouritsa, K. Zhang, J. M. Mooij, and B. Schölkopf (2012) · 2012
Cited alongside, same era.
A unified framework for high-dimensional analysis of m m -estimators with decomposable regularizers
Negahban, S. N., P. Ravikumar, M. J. Wainwright, and B. Yu (2012) · 2012
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Mikolov, T., I. Sutskever, K. Chen, G. S. Corrado, and J. Dean (2013) · 2013
Cited alongside, same era.
Later among the works it cites.
Kocaoglu, M., A. G. Dimakis, S. Vishwanath, and B. Hassibi (2016) · 2016
Later among the works it cites.
From dependence to causation
Lopez-Paz, D. (2016) · 2016
Later among the works it cites.
Discovering causal signals in images
Lopez-Paz, D., R. Nishihara, S. Chintala, B. Schölkopf, and L. Bottou (2016) · 2016
Later among the works it cites.