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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Bayesian Hierarchical Community Discovery NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NIPS 2013
Efficient Online Inference for Bayesian Nonparametric Relational Models NIPS 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
The Most Generative Maximum Margin Bayesian Networks ICML 2013
Differentially Private Learning with Kernels ICML 2013
Bayesian Games for Adversarial Regression Problems ICML 2013
Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013
Learning Linear Bayesian Networks with Latent Variables ICML 2013
Message passing with l1 penalized KL minimization ICML 2013
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Language-Motivated Approaches to Action Recognition JMLR 2013
Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013
Manipulation Pattern Discovery: A Nonparametric Bayesian Approach ICCV 2013
A Widely Applicable Bayesian Information Criterion JMLR 2013
Quasi-Newton Method: A New Direction JMLR 2013
A unifying representation for a class of dependent random measures AISTATS 2013
Diagonal Orthant Multinomial Probit Models AISTATS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013