O. Chapelle

Most-cited papers

An Empirical Evaluation of Thompson Sampling
O. Chapelle, Lihong Li
2011Neural Information Processing Systems1,697 citations
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Semi-Supervised Learning
O. Chapelle, Bernhard Schlkopf, A. Zien
20061,217 citations Open access
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Expected reciprocal rank for graded relevance
O. Chapelle, D. Metlzer, Ya Zhang, Pierre Grinspan
2009International Conference on Information and Knowledge Management935 citations
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Training a Support Vector Machine in the Primal
O. Chapelle
2007Neural Computation898 citations Open access
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Yahoo! Learning to Rank Challenge Overview
O. Chapelle, Yi Chang
2010Yahoo! Learning to Rank Challenge684 citations
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A dynamic bayesian network click model for web search ranking
O. Chapelle, Ya Zhang
2009The Web Conference603 citations
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Optimization Techniques for Semi-Supervised Support Vector Machines
O. Chapelle, Vikas Sindhwani, S. Keerthi
2008Journal of machine learning research457 citations
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A reliable effective terascale linear learning system
Alekh Agarwal, O. Chapelle, Miroslav Dudík, John Langford
2011Journal of machine learning research425 citations
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Simple and Scalable Response Prediction for Display Advertising
O. Chapelle, Eren Manavoglu, Rómer Rosales
2014ACM Transactions on Intelligent Systems and Technology390 citations Open access
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Support Vector Machine Solvers
L. Bottou, O. Chapelle, D. DeCoste, J. Weston
2007351 citations
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Efficient algorithms for ranking with SVMs
O. Chapelle, S. Keerthi
2010Information retrieval (Boston)289 citations
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Semi-Supervised Learning (Adaptive Computation and Machine Learning)
O. Chapelle, B. Schölkopf, A. Zien
2006282 citations
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Embedded Methods
T. N. Lal, O. Chapelle, J. Weston, A. Elisseeff
2006Feature Extraction280 citations
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Introduction to Semi-Supervised Learning
O. Chapelle, B. Schölkopf, A. Zien
2006Semi-Supervised Learning269 citations
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Large-scale validation and analysis of interleaved search evaluation
O. Chapelle, T. Joachims, Filip Radlinski, Yisong Yue
2012TOIS242 citations Open access
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A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, H. Zha, Tong Zhang, O. Chapelle +2 more
2007Neural Information Processing Systems227 citations
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Modeling delayed feedback in display advertising
O. Chapelle
2014Knowledge Discovery and Data Mining217 citations
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Gradient descent optimization of smoothed information retrieval metrics
O. Chapelle, Mingrui Wu
2010Information retrieval (Boston)217 citations
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Approximation Methods for Gaussian Process Regression
Joaquin Quiñonero-Candela, C. Rasmussen, Cki Williams, Bottou +3 more
2007203 citations Open access
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A continuation method for semi-supervised SVMs
O. Chapelle, Mingmin Chi, A. Zien
2006International Conference on Machine Learning199 citations Open access
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Early exit optimizations for additive machine learned ranking systems
B. B. Cambazoglu, H. Zaragoza, O. Chapelle, Jiang Chen +3 more
2010Web Search and Data Mining162 citations
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An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. Keerthi, Vikas Sindhwani, O. Chapelle
2006Neural Information Processing Systems158 citations Open access
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Learning to rank with (a lot of) word features
Bing Bai, J. Weston, D. Grangier, R. Collobert +4 more
2010Information retrieval (Boston)150 citations
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Branch and Bound for Semi-Supervised Support Vector Machines
O. Chapelle, Vikas Sindhwani, S. Keerthi
2006Neural Information Processing Systems139 citations Open access
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Intent-based diversification of web search results: metrics and algorithms
O. Chapelle, Shihao Ji, Ciya Liao, Emre Velipasaoglu +2 more
2011Information retrieval (Boston)133 citations
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Deterministic annealing for semi-supervised kernel machines
Vikas Sindhwani, S. Keerthi, O. Chapelle
2006International Conference on Machine Learning129 citations Open access
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The Greedy Miser: Learning under Test-time Budgets
Z. Xu, Kilian Q. Weinberger, O. Chapelle
2012International Conference on Machine Learning123 citations
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Multi-task learning for boosting with application to web search ranking
O. Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger +2 more
2010Knowledge Discovery and Data Mining114 citations
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An Analysis of Inference with the Universum
O. Chapelle, Alekh Agarwal, Fabian H Sinz, B. Schölkopf
2007Neural Information Processing Systems114 citations
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Field-aware Factorization Machines in a Real-world Online Advertising System
Yu-Chin Juan, Damien Lefortier, O. Chapelle
2017The Web Conference111 citations Open access
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Supervised semantic indexing
Bing Bai, J. Weston, D. Grangier, R. Collobert +4 more
2009European Conference on Information Retrieval107 citations
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Deterministic Annealing for Multiple-Instance Learning
Peter Gehler, O. Chapelle
2007International Conference on Artificial Intelligence and Statistics105 citations
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Active Learning for Ranking through Expected Loss Optimization
Bo Long, Jiang Bian, O. Chapelle, Ya Zhang +2 more
2010IEEE Transactions on Knowledge and Data Engineering97 citations
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Multi-Class Feature Selection with Support Vector Machines
O. Chapelle, S. Keerthi
200896 citations
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Classifier cascades and trees for minimizing feature evaluation cost
Z. Xu, Matt J. Kusner, Kilian Q. Weinberger, Min-Min Chen +1 more
2014Journal of machine learning research91 citations
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Scaling Learning Algorithms toward AI
L. Bottou, O. Chapelle, D. DeCoste, J. Weston
200791 citations
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Web spam identification through content and hyperlinks
J. Abernethy, O. Chapelle, Carlos Castillo
2008Adversarial Information Retrieval on the Web89 citations Open access
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Learning to suggest: a machine learning framework for ranking query suggestions
Umut Ozertem, O. Chapelle, Pinar E. Donmez, Emre Velipasaoglu
2012Annual International ACM SIGIR Conference on Research and Development in Information Retrieval88 citations
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Boosted multi-task learning
O. Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger +2 more
2010Machine-mediated learning87 citations Open access
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Future directions in learning to rank
O. Chapelle, Yi Chang, Tie-Yan Liu
2010Yahoo! Learning to Rank Challenge84 citations
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Classifier Cascade for Minimizing Feature Evaluation Cost
Min-Min Chen, Z. Xu, Kilian Q. Weinberger, O. Chapelle +1 more
2012International Conference on Artificial Intelligence and Statistics79 citations
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Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger, O. Chapelle
2008Neural Information Processing Systems79 citations
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Tighter Bounds for Structured Estimation
O. Chapelle, C. Do, C. Teo, Quoc V. Le +1 more
2008Neural Information Processing Systems73 citations
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Semi-Supervised Text Classification Using EM
O. Chapelle, Bernhard SchÃ¶lkopf, A. Zien
200670 citations
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Graph regularization methods for Web spam detection
J. Abernethy, O. Chapelle, Carlos Castillo
2010Machine-mediated learning65 citations Open access
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Implicit Surface Modelling with a Globally Regularised Basis of Compact Support
Christian J. Walder, B. Schölkopf, O. Chapelle
2006Computer graphics forum (Print)64 citations Open access
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Large margin optimization of ranking measures
O. Chapelle
200763 citations
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Second order optimization of kernel parameters
O. Chapelle, A. Rakotomamonjy, F. Bach
200860 citations
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Distance Metric Learning for Kernel Machines
Z. Xu, Kilian Q. Weinberger, O. Chapelle
2012arXiv.org50 citations
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Improved Preconditioner for Hessian Free Optimization
O. Chapelle
201150 citations
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