Statistical Learning
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
Neural Information Processing Systems http://nips.cc/
Alternating optimization of decision trees, with application to learning sparse oblique trees
Miguel A. Carreira-Perpinan, Pooya Tavallali
Thismakesinferenceveryfast,andmaynot even need to use all input featuresto make a prediction (with axis-aligned trees).
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
In this paper, we consider the existence and construction of both log-concave CNDs and multivariate CNDs.
Amortized Inference Regularization
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
Canonically, the variational principle suggests to prefer an expressive inference model so that the variational approximation is accurate.
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
In disciplines such as chemistry, physics, and network science, graphs are a convenient and well-studied mathematical object to represent such interacting entities and their attributes.
