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Bayesian Inference

5,566 papers

Papers per year

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Papers

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013
ABC Reinforcement Learning ICML 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers ICML 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Dependent Normalized Random Measures ICML 2013
Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013
Approximate Inference in Collective Graphical Models ICML 2013
Scaling the Indian Buffet Process via Submodular Maximization ICML 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013
Smooth Operators ICML 2013
Bayesian Learning of Recursively Factored Environments ICML 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013
Sparse Single-Index Model JMLR 2013
Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality JMLR 2013
Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013
Quasi-Newton Method: A New Direction JMLR 2013
A Widely Applicable Bayesian Information Criterion JMLR 2013
Bayesian Canonical Correlation Analysis JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013