Matthias Seeger

发表

Bayesian Modelling in Machine Learning: A Tutorial Review

Matthias Seeger, M. Seeger, 2006 .

Sparse B ayesian Learning: The Informative Vector Machine

Neil D. Lawrence, Ralf Herbrich, Matthias Seeger, 2002 .

Model based reconstruction for GRE EPI

Bernhard Schölkopf, Rolf Pohmann, Matthias Seeger, 2011 .

The Informative Vector Machine: A Practical Probabilistic Alternative to the Support Vector Machine

Neil D. Lawrence, Ralf Herbrich, Matthias Seeger, 2004 .

Optimization of k-Space Trajectories by Bayesian Experimental Design

Bernhard Schölkopf, Hannes Nickisch, Rolf Pohmann, 2009 .

Bayesian Neural System identification: error bars, receptive fields and neural couplings

Matthias Bethge, Matthias Seeger, Sebastian Gerwinn, 2006 .

Bayesian Modelling for Data Analysis and Learning from Data Part IV: Gaussian Processes for Machine Learning

Matthias Seeger, 2006 .

Workshop on Machine Learning: Approaches to Representational Learning and Recognition in Vision

Bernhard Schölkopf, Rolf Pohmann, Matthias Seeger, 2008 .

Bayesian Receptive Fields and Neural Couplings with Sparsity Prior and Error Bars

Matthias Bethge, Matthias Seeger, Sebastian Gerwinn, 2007 .

Sparse Linear Models: Bayesian Inference and Experimental Design

Matthias Seeger, 2008, ICML 2008.

Cross-Validation Optimization for Structured Hessian Kernel Methods

Matthias Seeger, Olivier Chapelle, 2006 .

BORE: Bayesian Optimization by Density-Ratio Estimation

Aaron Klein, Louis C. Tiao, Cedric Archambeau, 2021, ICML.

Meta-Forecasting by combining Global Deep Representations with Local Adaptation pdf

Cedric Archambeau, Matthias Seeger, Riccardo Grazzi, 2021, ArXiv.

A Nonmyopic Approach to Cost-Constrained Bayesian Optimization

Matthias Seeger, Valerio Perrone, David Eriksson, 2021, UAI.

Overfitting in Bayesian Optimization: an empirical study and early-stopping solution pdf

Aaron Klein, Cedric Archambeau, Matthias Seeger, 2021, ArXiv.

Automatic Termination for Hyperparameter Optimization

Aaron Klein, Cedric Archambeau, Matthias Seeger, 2021 .

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization

Amr Ahmed, Fela Winkelmolen, Matthias Seeger, 2020, KDD.

Segmented Multi-Echo MPRAGE Acquisition for Accelerated T 1-weighted Brain Imaging

Tobias Kober, Matthias Seeger, Pavel Falkovskiy, 2012 .

Relationships between Gaussian processes, Support Vector machines and Smoothing Splines

Matthias Seeger, M. Seeger, 2000 .

LEEP: A New Measure to Evaluate Transferability of Learned Representations

Tal Hassner, Cedric Archambeau, Matthias Seeger, 2020, ICML.

Gaussian Process Belief Propagation

Matthias Seeger, 2007 .