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Matthias Seeger

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Matthias Seeger

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Expectation Propagation for Rectified Linear Poisson Regression

Scalable Collaborative Bayesian Preference Learning

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models

Can Multi-Channel FID Navigators Quantify Head Motion?

Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models

Large Scale Variational Bayesian Inference for Structured Scale Mixture Models

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design

Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Scalable Collaborative Bayesian Preference Learning

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models

Can Multi-Channel FID Navigators Quantify Head Motion?

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models

Expectation Propagation for Rectified Linear Poisson Regression

Large Scale Variational Bayesian Inference for Structured Scale Mixture Models