Seeger, Matthias W

20 publications

FnTML 2025 Hyperparameter Optimization in Machine Learning Luca Franceschi, Michele Donini, Valerio Perrone, Aaron Klein, Cédric Archambeau, Matthias W. Seeger, Massimiliano Pontil, Paolo Frasconi

ICML 2021 BORE: Bayesian Optimization by Density-Ratio Estimation Louis C Tiao, Aaron Klein, Matthias W Seeger, Edwin V. Bonilla, Cedric Archambeau, Fabio Ramos

NeurIPS 2019 Learning Search Spaces for Bayesian Optimization: Another View of Hyperparameter Transfer Learning Valerio Perrone, Huibin Shen, Matthias W Seeger, Cedric Archambeau, Rodolphe Jenatton

NeurIPS 2018 Deep State Space Models for Time Series Forecasting Syama Sundar Rangapuram, Matthias W Seeger, Jan Gasthaus, Lorenzo Stella, Yuyang Wang, Tim Januschowski

NeurIPS 2018 Scalable Hyperparameter Transfer Learning Valerio Perrone, Rodolphe Jenatton, Matthias W Seeger, Cedric Archambeau

NeurIPS 2016 Bayesian Intermittent Demand Forecasting for Large Inventories Matthias W Seeger, David Salinas, Valentin Flunkert

ACML 2015 Expectation Propagation for Rectified Linear Poisson Regression Young-Jun Ko, Matthias W. Seeger

AISTATS 2014 Scalable Collaborative Bayesian Preference Learning Mohammad Emtiyaz Khan, Young-Jun Ko, Matthias W. Seeger

ICML 2012 Large Scale Variational Bayesian Inference for Structured Scale Mixture Models Young-Jun Ko, Matthias W. Seeger

ICML 2010 Gaussian Covariance and Scalable Variational Inference Matthias W. Seeger

ICML 2010 Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger

ICML 2009 Convex Variational Bayesian Inference for Large Scale Generalized Linear Models Hannes Nickisch, Matthias W. Seeger

ICML 2009 Workshop Summary: Numerical Mathematics in Machine Learning Matthias W. Seeger, Suvrit Sra, John P. Cunningham

JMLR 2008 Bayesian Inference and Optimal Design for the Sparse Linear Model Matthias W. Seeger

ICML 2008 Compressed Sensing and Bayesian Experimental Design Matthias W. Seeger, Hannes Nickisch

JMLR 2008 Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods Matthias W. Seeger

NeurIPS 2005 Worst-Case Bounds for Gaussian Process Models Sham M. Kakade, Matthias W. Seeger, Dean P. Foster

AISTATS 2003 Fast Forward Selection to Speed up Sparse Gaussian Process Regression Matthias W. Seeger, Christopher K. I. Williams, Neil D. Lawrence

ICML 2001 An Improved Predictive Accuracy Bound for Averaging Classifiers John Langford, Matthias W. Seeger, Nimrod Megiddo

ICML 2000 The Effect of the Input Density Distribution on Kernel-Based Classifiers Christopher K. I. Williams, Matthias W. Seeger