Bayesian Learning
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
Sanjiban Choudhury, Shervin Javdani, Siddhartha Srinivasa, Sebastian Scherer
In this paper, we do so by drawing a novel equivalence between motion planning and the Bayesian active learning paradigm of decision region determination (DRD) . Unfortunately, a straight application of existing methods requires computation exponential in the number of edges in a graph.
Collapsed variational Bayes for Markov jump processes
Boqian Zhang, Jiangwei Pan, Vinayak A. Rao
Neural Information Processing Systems http://nips.cc/
Tractability in Structured Probability Spaces
Arthur Choi, Yujia Shen, Adnan Darwiche
In particular, we introduce the notion of a hierarchical route distribution and show how they can be leveraged to construct tractable PSDDs over route distributions, allowing them to scale to larger maps.
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
Neural Information Processing Systems http://nips.cc/
Adversarial Surrogate Losses for Ordinal Regression
Rizal Fathony, Mohammad Ali Bashiri, Brian Ziebart
Neural Information Processing Systems http://nips.cc/
Multi-view Matrix Factorization for Linear Dynamical System Estimation
Mahdi Karami, Martha White, Dale Schuurmans, Csaba Szepesvari
Maximum likelihood for LDS estimation, on the other hand, has several advantages.
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E.J. Chichilnisky, Liam Paninski
However, existing linear techniques for neural decoding may not fully reveal or exploit the fidelity of the neural signal.
Scalable Model Selection for Belief Networks
Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin
The factorized asymptotic Bayesian ( FAB) approach has recently been shown as a scalable model-selection framework for latent variable models.
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
John T. Halloran, David M. Rocke
Neural Information Processing Systems http://nips.cc/