Publications

82 entries « 1 of 2 »

2022

Herbrich, Ralf

On Noisy Additions Unpublished

2022, (Draft Technical Report).

Abstract | Links | BibTeX

Kurle, Richard; Herbrich, Ralf; Januschowski, Tim; Wang, Yuyang; Gasthaus, Jan

On the detrimental effect of invariances in the likelihood for variational inference Proceedings Article

In: Advances in Neural Information Procesing Systems 36, 2022.

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2020

Herbrich, Ralf; Rastogi, Rajeev; Vollgraf, Roland

CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data Journal Article

In: arXiv:2006.04942, 2020.

Abstract | Links | BibTeX

2014

He, Xinran; Pan, Junfeng; Jin, Ou; Xu, Tianbing; Liu, Bo; Xu, Tao; Shi, Yanxin; Atallah, Antoine; Herbrich, Ralf; Bowers, Stuart; Candela, Joaquin Quiñonero

Practical Lessons from Predicting Clicks on Ads at Facebook Proceedings Article

In: Proceedings of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1–9, ACM 2014.

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2013

Chakrabarti, Deepayan; Herbrich, Ralf

Speeding Up Large-Scale Learning with a Social Prior Proceedings Article

In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 650–658, ACM 2013.

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2012

Gartrell, Mike; Paquet, Ulrich; Herbrich, Ralf

A Bayesian Treatment of Social Links in Recommender Systems Technical Report

CU Technical Report CU-CS-1092-12 2012.

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Dietz, Laura; Gamari, Ben; Guiver, John; Snelson, Edward; Herbrich, Ralf

De-Layering Social Networks by Shared Tastes of Friendships Proceedings Article

In: International AAAI Conference on Web and Social Media, 2012.

Abstract | Links | BibTeX

El-Arini, Khalid; Paquet, Ulrich; Herbrich, Ralf; Gael, Jurgen Van; y Arcas, Blaise Agüera

Transparent User Models for Personalization Proceedings Article

In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 678–686, ACM 2012.

Abstract | Links | BibTeX

Herbrich, Ralf

Distributed, Real-time Bayesian Learning in Online Services Proceedings Article

In: Proceedings of the 6th ACM Conference on Recommender Systems, pp. 203–204, ACM 2012.

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Hennig, Philipp; Stern, David; Herbrich, Ralf; Graepel, Thore

Kernel Topic Models Proceedings Article

In: Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 511–519, 2012.

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2011

Passos, Alexandre; Gael, Juergen Van; Herbrich, Ralf; Paquet, Ulrich

A Penny for Your Thoughts? The Value of Information in Recommendation Systems Proceedings Article

In: NIPS Workshop on Bayesian Optimization, Experimental Design, and Bandits, pp. 9–14, 2011.

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Cheng, Weiwei; Kasneci, Gjergji; Graepel, Thore; Stern, David H; Herbrich, Ralf

Automated Feature Generation From Structured Knowledge Proceedings Article

In: Proceedings of the 20th ACM Conference on Information and Knowledge Management, pp. 1395–1404, 2011.

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Kohli, Pushmeet; Bachrach, Yoram; Graepel, Thore; Smyth, Gavin; Armstrong, Michael; Stillwell, David; Kearns, Michael

Behavioral Game Theory on Online Social Networks: Colonel Blotto is on Facebook Proceedings Article

In: Proceedings of the 2nd Workshop on Computational Social Science and the Wisdom of Crowds, 2011.

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Xu, Yan; Cao, Xiang; Sellen, Abigail; Herbrich, Ralf; Graepel, Thore

Sociable Killers: Understanding Social Relationships in an Online First-Person Shooter Game Proceedings Article

In: Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work, pp. 197–206, 2011.

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2010

Bachrach, Yoram; Herbrich, Ralf

Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis Proceedings Article

In: Proceedings of 17th International Symposium on String Processing and Information Retrieval, pp. 25–36, 2010.

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Graepel, Thore; Candela, Joaquin Quiñonero; Borchert, Thomas; Herbrich, Ralf

Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine Proceedings Article

In: Proceedings of the 27th International Conference on Machine Learning, pp. 13–20, 2010.

Abstract | Links | BibTeX

Kasneci, Gjergji; Gael, Jurgen Van; Herbrich, Ralf; Graepel, Thore

Bayesian Knowledge Corroboration with Logical Rules and User Feedback Proceedings Article

In: Proceedings of European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 1–18, 2010.

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Paquet, Ulrich; Gael, Jurgen Van; Stern, David; Kasneci, Gjergji; Herbrich, Ralf; Graepel, Thore

Vuvuzelas & Active Learning for Online Classification Proceedings Article

In: Proceedings of Computational Social Science and the Wisdom of Crowds Workshop, 2010.

Abstract | Links | BibTeX

Stern, David; Samulowitz, Horst; Herbrich, Ralf; Graepel, Thore; Pulina, Luca; Tacchella, Armando

Collaborative Expert Portfolio Management Proceedings Article

In: Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010.

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Zaman, Tauhid R; Herbrich, Ralf; Gael, Jurgen Van; Stern, David

Predicting Information Spreading in Twitter Proceedings Article

In: Proceedings of Computational Social Science and the Wisdom of Crowds Workshop, 2010.

Abstract | Links | BibTeX

Zhang, Xinhua; Graepel, Thore; Herbrich, Ralf

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures Proceedings Article

In: Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 956–963, 2010.

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2009

Bachrach, Yoram; Herbrich, Ralf; Porat, Ely

Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems Proceedings Article

In: Proceedings of 16th International Symposium String Processing and Information Retrieval, pp. 344–352, 2009.

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Flach, Peter; Spiegler, Sebastian; Golenia, Bruno; Price, Simon; Guiver, John; Herbrich, Ralf; Graepel, Thore; Zaki, Mohammed

Novel Tools to Streamline the Conference Review Process: Experiences from SIGKDD'09 Journal Article

In: SIGKDD Explorations, vol. 11, no. 2, pp. 63–67, 2009.

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Schwaighofer, Anton; Candela, Joaquin Quiñonero; Borchert, Thomas; Graepel, Thore; Herbrich, Ralf

Scalable Clustering and Keyword Suggestion for Online Advertisements Proceedings Article

In: Proceedings of 3rd Annual International Workshop on Data Mining and Audience Intelligence for Advertising, pp. 27–36, 2009.

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Stern, David; Herbrich, Ralf; Graepel, Thore

Matchbox: Large Scale Online Bayesian Recommendations Proceedings Article

In: Proceedings of the 18th International Conference on World Wide Web, pp. 111–120, 2009.

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2008

Graepel, Thore; Herbrich, Ralf

Large Scale Data Analysis and Modelling in Online Services and Advertising Proceedings Article

In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2, 2008.

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2007

Dangauthier, Pierre; Herbrich, Ralf; Minka, Tom; Graepel, Thore

TrueSkill Through Time: Revisiting the History of Chess Proceedings Article

In: Advances in Neural Information Processing Systems 20, pp. 931–938, The MIT Press, 2007.

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Herbrich, Ralf; Graepel, Thore; Murphy, Brendan

Structure From Failure Proceedings Article

In: Proceedings of 2nd Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, USENIX, 2007.

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Stern, David; Herbrich, Ralf; Graepel, Thore

Learning to Solve Game Trees Proceedings Article

In: Proceedings of the 24th International Conference on Machine Learning, pp. 839–846, 2007.

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2006

Herbrich, Ralf; Minka, Tom; Graepel, Thore

TrueSkill(TM): A Bayesian Skill Rating System Proceedings Article

In: Advances in Neural Information Procesing Systems 19, pp. 569–576, The MIT Press, 2006.

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Graepel, Thore; Herbrich, Ralf

Ranking and Matchmaking Journal Article

In: Game Developer Magazine, no. 10, 2006.

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Stern, David; Herbrich, Ralf; Graepel, Thore

Bayesian Pattern Ranking for Move Prediction in the Game of Go Proceedings Article

In: Proceedings of the 23rd International Conference on Machine Learning, pp. 873–880, 2006.

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2005

Agarwal, Shivani; Graepel, Thore; Herbrich, Ralf; Har-Peled, Sariel; Roth, Dan

Generalization Bounds for the Area Under the ROC Curve Journal Article

In: Journal of Machine Learning Research, vol. 6, pp. 393–425, 2005.

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Graepel, Thore; Herbrich, Ralf; Shawe-Taylor, John

PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification Journal Article

In: Machine Learning, vol. 59, pp. 55–76, 2005.

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Gretton, Arthur; Herbrich, Ralf; Smola, Alexander J; Bousquet, Olivier; Schölkopf, Bernhard

Kernel Methods for Measuring Independence Journal Article

In: Journal of Machine Learning Research, vol. 6, pp. 2075–2129, 2005.

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Gretton, Arthur; Smola, Alexander; Bousquet, Olivier; Herbrich, Ralf; Belitski, Andrei; Augath, Mark; Murayama, Yusuke; Pauls, Jon; Schölkopf, Bernhard; Logothetis, Nikos

Kernel Constrained Covariance for Dependence Measurement Proceedings Article

In: Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics (AISTATS), pp. 112–119, 2005.

Abstract | Links | BibTeX

Herbrich, Ralf

On Gaussian Expectation Propagation Technical Report

Microsoft Research 2005.

Abstract | Links | BibTeX

Herbrich, Ralf

Minimising the Kullback-Leibler Divergence Technical Report

Microsoft Research 2005.

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Herbrich, Ralf; Graepel, Thore; Williamson, Robert C

The Structure of Version Space Book Section

In: Innovations in Machine Learning: Theory and Applications, pp. 257–274, Springer, 2005.

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2004

Agarwal, Shivani; Graepel, Thore; Herbrich, Ralf; Roth, Dan

A Large Deviation Bound for the Area Under the ROC Curve Proceedings Article

In: Advances in Neural Information Processing Systems 17, pp. 9–16, 2004.

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Graepel, Thore; Herbrich, Ralf; Gold, Julian

Learning to Fight Proceedings Article

In: Proceedings of the International Conference on Computer Games: Artificial Intelligence, Design and Education, pp. 193–200, 2004.

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Rajaram, Shyamsundar; Graepel, Thore; Herbrich, Ralf

Poisson-Networks : A Model for Structured Poisson Processes Proceedings Article

In: Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, pp. 277–284, 2004.

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2003

Graepel, Thore; Herbrich, Ralf

Invariant Pattern Recognition by Semidefinite Programming Machines Proceedings Article

In: Advances in Neural Information Processing Systems 16, pp. 33–40, 2003.

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Graepel, Thore; Herbrich, Ralf; Kharechko, Andriy; Shawe-Taylor, John

Semi-Definite Programming by Perceptron Learning Proceedings Article

In: Advances in Neural Information Processing Systems 16, pp. 457–464, The MIT Press, 2003.

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Gretton, Arthur; Herbrich, Ralf; Smola, Alexander

The Kernel Mutual Information Proceedings Article

In: Proceedings of IEEE Internaltional Conference on Acoustics, Speech and Signal Processing, pp. 880–883, 2003.

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Harrington, Edward; Herbrich, Ralf; Kivinen, Jyrki; Platt, John C; Williamson, Robert C

Online Bayes Point Machines Proceedings Article

In: Proceedings of Advances in Knowledge Discovery and Data Mining, pp. 241–252, 2003.

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Herbrich, Ralf; Graepel, Thore

Introduction to the Special Issue on Learning Theory Journal Article

In: Journal of Machine Learning Research, vol. 4, pp. 755–757, 2003.

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2002

Herbrich, Ralf

Learning Kernel Classifiers: Theory and Algorithms Book

2nd edition, The MIT Press, 2002.

BibTeX

Herbrich, Ralf; Graepel, Thore

A PAC-Bayesian Margin Bound for Linear Classifiers Journal Article

In: IEEE Transactions on Information Theory, vol. 48, no. 12, pp. 3140–3150, 2002.

Abstract | Links | BibTeX

Herbrich, Ralf; Williamson, Robert C

Learning and Generalization: Theoretical Bounds Book Section

In: Handbook of Brain Theory and Neural Networks, pp. 619–623, The MIT Press, 2002.

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82 entries « 1 of 2 »