Statistical Learning
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang
Neural Information Processing Systems http://nips.cc/
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus
Neural Information Processing Systems http://nips.cc/
SyntheticModelCombination: AnInstance-wise ApproachtoUnsupervisedEnsembleLearning
Alternatively,groups may release models that theyhavetrained on their privatedata.
Appendix T able of Contents
The next lemma was used in the proof of Theorem 1.
Regularization properties of adversarially-trained linear regression
And, conversely, the minimum-norm interpolator is the solution to adversarial training with a given radius.
