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Conditional Generative Moment-Matching Networks
Yong Ren, Jun Zhu, Jialian Li, Yucen Luo
Neural Information Processing Systems http://nips.cc/
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Neural Information Processing Systems http://nips.cc/
Joint distribution optimal transportation for domain adaptation
Nicolas Courty, Rรฉmi Flamary, Amaury Habrard, Alain Rakotomamonjy
However, the generating process can be different in several aspects, such as the conditions and devices used for acquisition, different pre-processing, different compressions, etc. Domain adaptation
Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
Neural Information Processing Systems http://nips.cc/
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hao, Harri Valpola, Jรผrgen Schmidhuber
Neural Information Processing Systems http://nips.cc/
A Locally Adaptive Normal Distribution
Georgios Arvanitidis, Lars K. Hansen, Sรธren Hauberg
The underlyingmetricis,however,non-parametric.Wedevelopamaximumlikelihood algorithm to infer the distribution parameters that relies on a combination of gradient descent and Monte Carlo integration. We further extend the LAND to mixture models, andprovidethecorresponding EMalgorithm.
Approximate Gaussian process inference for the drift function in stochastic differential equations
Andreas Ruttor, Philipp Batz, Manfred Opper
Neural Information Processing Systems http://nips.cc/
Real Time Image Saliency for Black Box Classifiers
Neural Information Processing Systems http://nips.cc/
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser, Jakob H. Macke
Neural Information Processing Systems http://nips.cc/