Olivier Chapelle

According to our database1, Olivier Chapelle authored at least 73 papers between 1999 and 2017.

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Bibliography

2017
Field-aware Factorization Machines in a Real-world Online Advertising System.
CoRR, 2017

Field-aware Factorization Machines in a Real-world Online Advertising System.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

2015
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng., 2015

Offline Evaluation of Response Prediction in Online Advertising Auctions.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014
Simple and Scalable Response Prediction for Display Advertising.
ACM TIST, 2014

Classifier cascades and trees for minimizing feature evaluation cost.
Journal of Machine Learning Research, 2014

A reliable effective terascale linear learning system.
Journal of Machine Learning Research, 2014

Modeling delayed feedback in display advertising.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2012
Large-scale validation and analysis of interleaved search evaluation.
ACM Trans. Inf. Syst., 2012

Open Problem: Regret Bounds for Thompson Sampling.
Proceedings of the COLT 2012, 2012

Deterministic Annealing for Semi-Supervised Structured Output Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Classifier Cascade for Minimizing Feature Evaluation Cost.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Distance Metric Learning for Kernel Machines
CoRR, 2012

Learning to suggest: a machine learning framework for ranking query suggestions.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

The Greedy Miser: Learning under Test-time Budgets.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Boosted multi-task learning.
Machine Learning, 2011

Future directions in learning to rank.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Yahoo! Learning to Rank Challenge Overview.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Intent-based diversification of web search results: metrics and algorithms.
Inf. Retr., 2011

A Reliable Effective Terascale Linear Learning System
CoRR, 2011

An Empirical Evaluation of Thompson Sampling.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Graph regularization methods for Web spam detection.
Machine Learning, 2010

Gradient descent optimization of smoothed information retrieval metrics.
Inf. Retr., 2010

Efficient algorithms for ranking with SVMs.
Inf. Retr., 2010

Learning to rank with (a lot of) word features.
Inf. Retr., 2010

Early exit optimizations for additive machine learned ranking systems.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Learning more powerful test statistics for click-based retrieval evaluation.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Active learning for ranking through expected loss optimization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Multi-task learning for boosting with application to web search ranking.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
A dynamic bayesian network click model for web search ranking.
Proceedings of the 18th International Conference on World Wide Web, 2009

Global ranking by exploiting user clicks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Expected reciprocal rank for graded relevance.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Supervised semantic indexing.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Beyond binary relevance: preferences, diversity, and set-level judgments.
SIGIR Forum, 2008

Optimization Techniques for Semi-Supervised Support Vector Machines.
Journal of Machine Learning Research, 2008

Large Margin Taxonomy Embedding for Document Categorization.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Tighter Bounds for Structured Estimation.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Web spam identification through content and hyperlinks.
Proceedings of the AIRWeb 2008, 2008

2007
Training a Support Vector Machine in the Primal.
Neural Computation, 2007

Deterministic Annealing for Multiple-Instance Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning with Transformation Invariant Kernels.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

An Analysis of Inference with the Universum.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Building Support Vector Machines with Reduced Classifier Complexity.
Journal of Machine Learning Research, 2006

Implicit Surface Modelling with a Globally Regularised Basis of Compact Support.
Comput. Graph. Forum, 2006

Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Branch and Bound for Semi-Supervised Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Deterministic annealing for semi-supervised kernel machines.
Proceedings of the Machine Learning, 2006

A continuation method for semi-supervised SVMs.
Proceedings of the Machine Learning, 2006

2005

Estimating Predictive Variances with Kernel Ridge Regression.
Proceedings of the Machine Learning Challenges, 2005

Implicit surface modelling as an eigenvalue problem.
Proceedings of the Machine Learning, 2005

An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Semi-Supervised Classification by Low Density Separation.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Active Learning for Parzen Window Classifier.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Feature Selection for Support Vector Machines Using Genetic Algorithms.
International Journal on Artificial Intelligence Tools, 2004

A Machine Learning Approach to Conjoint Analysis.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinformatics, 2003

Measure Based Regularization.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Feature Selection for Support Vector Machines by Means of Genetic Algorithms.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

2002
Choosing Multiple Parameters for Support Vector Machines.
Machine Learning, 2002

Model Selection for Small Sample Regression.
Machine Learning, 2002

Kernel Dependency Estimation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Cluster Kernels for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Incorporating Invariances in Non-Linear Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Bounds on Error Expectation for Support Vector Machines.
Neural Computation, 2000

Feature Selection for SVMs.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Vicinal Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Support vector machines for histogram-based image classification.
IEEE Trans. Neural Networks, 1999

Transductive Inference for Estimating Values of Functions.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Model Selection for Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999


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