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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Learning to Pass Expectation Propagation Messages NIPS 2013
Scalable Inference for Logistic-Normal Topic Models NIPS 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013
Restricting exchangeable nonparametric distributions NIPS 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction CVPR 2013
Streaming Variational Bayes NIPS 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Machine Teaching for Bayesian Learners in the Exponential Family NIPS 2013
Real-Time Inference for a Gamma Process Model of Neural Spiking NIPS 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Low-rank matrix reconstruction and clustering via approximate message passing NIPS 2013
Approximate Inference in Continuous Determinantal Processes NIPS 2013
Factorized Asymptotic Bayesian Inference for Latent Feature Models NIPS 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Proportion Priors for Image Sequence Segmentation ICCV 2013
A Practical Transfer Learning Algorithm for Face Verification ICCV 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Learning Stochastic Inverses NIPS 2013