Statistical Learning
DeepPINK:reproduciblefeatureselectionindeep neuralnetworks
Analogously,if afinancial transaction is flagged to be fraudulent, then the security teams want to knowwhich activities orbehaviorsledtotheflagging.
A Solvable High-Dimensional Model of GAN
Neural Information Processing Systems http://nips.cc/
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
Interatomic potentials learned using machine learning methods have been successfully applied to atomistic simulations.
Compact Representation of Uncertainty in Clustering
Craig Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
Neural Information Processing Systems http://nips.cc/
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas Runkler, Carl Henrik Ek
Neural Information Processing Systems http://nips.cc/
ARegret-VarianceTrade-OffinOnlineLearning
Building on this result, we show several examples of how variance of predictions can be exploited in learning.