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Bayesian Inference

5,566 papers

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Papers

Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NIPS 2016
Ladder Variational Autoencoders NIPS 2016
Rényi Divergence Variational Inference NIPS 2016
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
Variational Information Maximization for Feature Selection NIPS 2016
Poisson-Gamma dynamical systems NIPS 2016
PAC-Bayesian Theory Meets Bayesian Inference NIPS 2016
Infinite Hidden Semi-Markov Modulated Interaction Point Process NIPS 2016
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NIPS 2016
Variational Inference in Mixed Probabilistic Submodular Models NIPS 2016
Threshold Learning for Optimal Decision Making NIPS 2016
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Variance Reduction in Stochastic Gradient Langevin Dynamics NIPS 2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints NIPS 2016
Relevant sparse codes with variational information bottleneck NIPS 2016
Bayesian Optimization with Robust Bayesian Neural Networks NIPS 2016
VIME: Variational Information Maximizing Exploration NIPS 2016
Stochastic Gradient MCMC with Stale Gradients NIPS 2016
Sampling for Bayesian Program Learning NIPS 2016
Unifying Count-Based Exploration and Intrinsic Motivation NIPS 2016
Observational-Interventional Priors for Dose-Response Learning NIPS 2016
A Bayesian method for reducing bias in neural representational similarity analysis NIPS 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NIPS 2016
DISCO Nets : DISsimilarity COefficients Networks NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016