Ralf Herbrich

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 7

Top Venues

CoRR

KDD

ADKDD@KDD

WSDM

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

Paul Mattes, Rainer Schlosser, Ralf Herbrich
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models. CoRR (2023)
Richard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang Wang, Jan Gasthaus
On the detrimental effect of invariances in the likelihood for variational inference. CoRR (2022)
Richard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang Wang, Jan Gasthaus
On the detrimental effect of invariances in the likelihood for variational inference. NeurIPS (2022)
Thore Graepel, Ralf Herbrich
A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works! CoRR (2021)
Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf
CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data. CoRR (2020)
Ralf Herbrich
Machine Learning at Amazon. WSDM (2017)
Ralf Herbrich
Learning Sparse Models at Scale. KDD (2016)
Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela
Practical Lessons from Predicting Clicks on Ads at Facebook. ADKDD@KDD (2014)
Deepayan Chakrabarti, Ralf Herbrich
Speeding up large-scale learning with a social prior. KDD (2013)
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, Blaise Agüera y Arcas
Transparent user models for personalization. KDD (2012)
Pushmeet Kohli, Michael J. Kearns, Yoram Bachrach, Ralf Herbrich, David Stillwell, Thore Graepel
Colonel Blotto on Facebook: the effect of social relations on strategic interaction. WebSci (2012)
Laura Dietz, Ben Gamari, John Guiver, Edward Lloyd Snelson, Ralf Herbrich
De-Layering Social Networks by Shared Tastes of Friendships. ICWSM (2012)
Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel
Kernel Topic Models. AISTATS (2012)
Ralf Herbrich
Distributed, real-time bayesian learning in online services. RecSys (2012)
Philipp Hennig, David H. Stern, Ralf Herbrich, Thore Graepel
Kernel Topic Models CoRR (2011)
Yan Xu, Xiang Cao, Abigail Sellen, Ralf Herbrich, Thore Graepel
Sociable killers: understanding social relationships in an online first-person shooter game. CSCW (2011)
Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich
Automated feature generation from structured knowledge. CIKM (2011)
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel
Bayesian Knowledge Corroboration with Logical Rules and User Feedback. ECML/PKDD (2) (2010)
Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich
Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. ICML (2010)
Yoram Bachrach, Ralf Herbrich
Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis. SPIRE (2010)
Xinhua Zhang, Thore Graepel, Ralf Herbrich
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. AISTATS (2010)
David H. Stern, Horst Samulowitz, Ralf Herbrich, Thore Graepel, Luca Pulina, Armando Tacchella
Collaborative Expert Portfolio Management. AAAI (2010)
Yoram Bachrach, Ralf Herbrich, Ely Porat
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems. SPIRE (2009)
Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki
Novel tools to streamline the conference review process: experiences from SIGKDD'09. SIGKDD Explor. 11 (2) (2009)
David H. Stern, Ralf Herbrich, Thore Graepel
Matchbox: large scale online bayesian recommendations. WWW (2009)
Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich
Scalable clustering and keyword suggestion for online advertisements. KDD Workshop on Data Mining and Audience Intelligence for Advertising (2009)
Thore Graepel, Ralf Herbrich
Large scale data analysis and modelling in online services and advertising. KDD (2008)
David H. Stern, Ralf Herbrich, Thore Graepel
Learning to solve game trees. ICML (2007)
Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel
TrueSkill Through Time: Revisiting the History of Chess. NIPS (2007)
Ralf Herbrich, Tom Minka, Thore Graepel
: A Bayesian Skill Rating System. NIPS (2006)
David H. Stern, Ralf Herbrich, Thore Graepel
Bayesian pattern ranking for move prediction in the game of Go. ICML (2006)
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth
Generalization Bounds for the Area Under the ROC Curve. J. Mach. Learn. Res. 6 (2005)
Shyamsundar Rajaram, Thore Graepel, Ralf Herbrich
Poisson-Networks: A Model for Structured Poisson Processes. AISTATS (2005)
Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf
Kernel Methods for Measuring Independence. J. Mach. Learn. Res. 6 (2005)
Arthur Gretton, Alexander J. Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schölkopf, Nikos K. Logothetis
Kernel Constrained Covariance for Dependence Measurement. AISTATS (2005)
Thore Graepel, Ralf Herbrich, John Shawe-Taylor
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. Mach. Learn. 59 (1-2) (2005)
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
A Large Deviation Bound for the Area Under the ROC Curve. NIPS (2004)
Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson
Online Bayes Point Machines. PAKDD (2003)
Arthur Gretton, Ralf Herbrich, Alexander J. Smola
The kernel mutual information. ICASSP (4) (2003)
Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor
Semi-Definite Programming by Perceptron Learning. NIPS (2003)
Ralf Herbrich, Thore Graepel
Introduction to the Special Issue on Learning Theory. J. Mach. Learn. Res. 4 (2003)
Thore Graepel, Ralf Herbrich
Invariant Pattern Recognition by Semi-Definite Programming Machines. NIPS (2003)
Neil D. Lawrence, Matthias W. Seeger, Ralf Herbrich
Fast Sparse Gaussian Process Methods: The Informative Vector Machine. NIPS (2002)
Ralf Herbrich, Thore Graepel
A PAC-Bayesian margin bound for linear classifiers. IEEE Trans. Inf. Theory 48 (12) (2002)
Stephen E. Robertson, Steve Walker, Hugo Zaragoza, Ralf Herbrich
Microsoft Cambridge at TREC 2002: Filtering Track. TREC (2002)
Ralf Herbrich, Robert C. Williamson
Algorithmic Luckiness. J. Mach. Learn. Res. 3 (2002)
Yaoyong Li, Hugo Zaragoza, Ralf Herbrich, John Shawe-Taylor, Jaz S. Kandola
The Perceptron Algorithm with Uneven Margins. ICML (2002)
Ralf Herbrich, Thore Graepel, Colin Campbell
Bayes Point Machines. J. Mach. Learn. Res. 1 (2001)
Ralf Herbrich, Robert C. Williamson
Algorithmic Luckiness. NIPS (2001)
Thore Graepel, Mike Goutrié, Marco Krüger, Ralf Herbrich
Learning on Graphs in the Game of Go. ICANN (2001)
Bernhard Schölkopf, Ralf Herbrich, Alexander J. Smola
A Generalized Representer Theorem. COLT/EuroCOLT (2001)
Ralf Herbrich, Thore Graepel
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. NIPS (2000)
Thore Graepel, Ralf Herbrich, Robert C. Williamson
From Margin to Sparsity. NIPS (2000)
Ralf Herbrich, Thore Graepel, Colin Campbell
Robust Bayes Point Machines. ESANN (2000)
Ralf Herbrich, Thore Graepel
Large Scale Bayes Point Machines. NIPS (2000)
Thore Graepel, Ralf Herbrich
The Kernel Gibbs Sampler. NIPS (2000)
Thore Graepel, Ralf Herbrich, John Shawe-Taylor
Generalisation Error Bounds for Sparse Linear Classifiers. COLT (2000)
Ralf Herbrich, Thore Graepel, John Shawe-Taylor
Sparsity vs. Large Margins for Linear Classifiers. COLT (2000)
Thore Graepel, Ralf Herbrich, Klaus Obermayer
Bayesian Transduction. NIPS (1999)
Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer
Classification on Pairwise Proximity Data. NIPS (1998)
Tobias Scheffer, Ralf Herbrich
Unbiased Assesment of Learning Algorithms. IJCAI (2) (1997)
Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki
Efficient Theta-Subsumption Based on Graph Algorithms. Inductive Logic Programming Workshop (1996)

Ralf Herbrich.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ralf Herbrich