Papers
Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings
Avleen S. Bijral, Markus Breitenbach, Greg Grudic
A Boosting Algorithm for Label Covering in Multilabel Problems
Yonatan Amit, Ofer Dekel, Yoram Singer
Generalized Non-metric Multidimensional Scaling
Sameer Agarwal, Josh Wills, Lawrence Cayton et al.
Policy-Gradients for PSRs and POMDPs
Douglas Aberdeen, Olivier Buffet, Owen Thomas
Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology
Jarno Vanhatalo, Aki Vehtari
Salient Point and Scale Detection by Minimum Likelihood
Kim S. Pedersen, Marco Loog, Pieter Dorst
Learning RoboCup-Keepaway with Kernels
Tobias Jung, Daniel Polani
Multi-class Semi-supervised Learning with the ε-truncated Multinomial Probit Gaussian Process
Simon Rogers, Mark Girolami
Gaussian Process Approximations of Stochastic Differential Equations
Cedric Archambeau, Dan Cornford, Manfred Opper et al.