conftrace_

posterior distribution

259 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) markov chain monte carlo (725) uncertainty quantification (1393) bayesian neural network (201) thompson sampling (237) gaussian process (1200) neural network (6616) kullback-leibler divergence (181) generative model (2892)

Papers

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Posterior distributions are computable from predictive distributions AISTATS 2010
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
A Parameter-Free Classification Method for Large Scale Learning JMLR 2009
Bayesian estimation of orientation preference maps NIPS 2009
Optimal Response Initiation: Why Recent Experience Matters NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Theory and Dynamics of Perceptual Bistability NIPS 2006