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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NIPS 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
Bayesian dark knowledge NIPS 2015
Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015
Bayesian Inference for Neighborhood Filters With Application in Denoising CVPR 2015
Real-Time Joint Estimation of Camera Orientation and Vanishing Points CVPR 2015
Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015
Infinite Factorial Dynamical Model NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Finite-Time Analysis of Projected Langevin Monte Carlo NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NIPS 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
Learning the Irreducible Representations of Commutative Lie Groups ICML 2014
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014
Generating Efficient MCMC Kernels from Probabilistic Programs AISTATS 2014
Accelerating ABC methods using Gaussian processes AISTATS 2014
Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014