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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Parallel Streaming Wasserstein Barycenters NIPS 2017
Bayesian GAN NIPS 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
Ensemble Sampling NIPS 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NIPS 2017
Adaptive Active Hypothesis Testing under Limited Information NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017
Unsupervised Text Segmentation Based on Native Language Characteristics ACL 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017
Stochastic Bouncy Particle Sampler ICML 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017
Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017
Post-Inference Prior Swapping ICML 2017
Improving Gibbs Sampler Scan Quality with DoGS ICML 2017
Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017
Bayesian inference on random simple graphs with power law degree distributions ICML 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Measuring Sample Quality with Kernels ICML 2017
Local Bayesian Optimization of Motor Skills ICML 2017