Herbrich, Ralf

36 publications

ICML 2024 Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic Nicolas Alder, Ralf Herbrich

NeurIPSW 2024 Energy-Efficient Random Number Generation Using Stochastic Magnetic Tunnel Junctions Nicolas Alder, Shivam Nitin Kajale, Milin Tunsiricharoengul, Deblina Sarkar, Ralf Herbrich

ICML 2024 Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes, Rainer Schlosser, Ralf Herbrich

NeurIPS 2022 On the Detrimental Effect of Invariances in the Likelihood for Variational Inference Richard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang Wang, Jan Gasthaus

AISTATS 2012 Kernel Topic Models Philipp Hennig, David Stern, Ralf Herbrich, Thore Graepel

ECML-PKDD 2010 Bayesian Knowledge Corroboration with Logical Rules and User Feedback Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel

AISTATS 2010 Bayesian Online Learning for Multi-Label and Multi-Variate Performance Measures Xinhua Zhang, Thore Graepel, Ralf Herbrich

AAAI 2010 Collaborative Expert Portfolio Management David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella

ICML 2010 Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich

ICML 2007 Learning to Solve Game Trees David H. Stern, Ralf Herbrich, Thore Graepel

NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel

ICML 2006 Bayesian Pattern Ranking for Move Prediction in the Game of Go David H. Stern, Ralf Herbrich, Thore Graepel

NeurIPS 2006 TrueSkill™: A Bayesian Skill Rating System Ralf Herbrich, Tom Minka, Thore Graepel

JMLR 2005 Generalization Bounds for the Area Under the ROC Curve Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth

AISTATS 2005 Kernel Constrained Covariance for Dependence Measurement Arthur Gretton, Alexander Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schölkopf, Nikos Logothetis

JMLR 2005 Kernel Methods for Measuring Independence Arthur Gretton, Ralf Herbrich, Alexander Smola, Olivier Bousquet, Bernhard Schölkopf

MLJ 2005 PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification Thore Graepel, Ralf Herbrich, John Shawe-Taylor

AISTATS 2005 Poisson-Networks: A Model for Structured Poisson Processes Shyamsundar Rajaram, Thore Graepel, Ralf Herbrich

NeurIPS 2004 A Large Deviation Bound for the Area Under the ROC Curve Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth

NeurIPS 2003 Invariant Pattern Recognition by Semi-Definite Programming Machines Thore Graepel, Ralf Herbrich

NeurIPS 2003 Semi-Definite Programming by Perceptron Learning Thore Graepel, Ralf Herbrich, Andriy Kharechko, John S. Shawe-taylor

JMLR 2002 Algorithmic Luckiness Ralf Herbrich, Robert C. Williamson

NeurIPS 2002 Fast Sparse Gaussian Process Methods: The Informative Vector Machine Neil D. Lawrence, Matthias Seeger, Ralf Herbrich

ICML 2002 The Perceptron Algorithm with Uneven Margins Yaoyong Li, Hugo Zaragoza, Ralf Herbrich, John Shawe-Taylor, Jaz S. Kandola

COLT 2001 A Generalized Representer Theorem Bernhard Schölkopf, Ralf Herbrich, Alexander J. Smola

NeurIPS 2001 Algorithmic Luckiness Ralf Herbrich, Robert C. Williamson

JMLR 2001 Bayes Point Machines (Kernel Machines Section) Ralf Herbrich, Thore Graepel, Colin Campbell

NeurIPS 2000 A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs Work Ralf Herbrich, Thore Graepel

NeurIPS 2000 From Margin to Sparsity Thore Graepel, Ralf Herbrich, Robert C. Williamson

COLT 2000 Generalisation Error Bounds for Sparse Linear Classifiers Thore Graepel, Ralf Herbrich, John Shawe-Taylor

NeurIPS 2000 Large Scale Bayes Point Machines Ralf Herbrich, Thore Graepel

COLT 2000 Sparsity vs. Large Margins for Linear Classifiers Ralf Herbrich, Thore Graepel, John Shawe-Taylor

NeurIPS 2000 The Kernel Gibbs Sampler Thore Graepel, Ralf Herbrich

NeurIPS 1999 Bayesian Transduction Thore Graepel, Ralf Herbrich, Klaus Obermayer

NeurIPS 1998 Classification on Pairwise Proximity Data Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer

IJCAI 1997 Unbiased Assesment of Learning Algorithms Tobias Scheffer, Ralf Herbrich