Model Selection for Support Vector Machines. - Olivier Chapelle; Vladimir Vapnik (NIPS, 1999)

Transductive Inference for Estimating Values of Functions. - Olivier Chapelle; Vladimir Vapnik; Jason Weston (NIPS, 1999)

Support vector machines for histogram-based image classification. - Olivier Chapelle; Patrick Haffner; Vladimir Vapnik (IEEE Trans. Neural Networks, 1999)

Vicinal Risk Minimization. - Olivier Chapelle; Jason Weston; Léon Bottou; Vladimir Vapnik (NIPS, 2000)

Feature Selection for SVMs. - Jason Weston; Sayan Mukherjee 001; Olivier Chapelle; Massimiliano Pontil; Tomaso A. Poggio; Vladimir Vapnik (NIPS, 2000)

Bounds on Error Expectation for Support Vector Machines. - Vladimir Vapnik; Olivier Chapelle (Neural Comput., 2000)

Incorporating Invariances in Non-Linear Support Vector Machines. - Olivier Chapelle; Bernhard Schölkopf (NIPS, 2001)

Cluster Kernels for Semi-Supervised Learning. - Olivier Chapelle; Jason Weston; Bernhard Schölkopf (NIPS, 2002)

Kernel Dependency Estimation. - Jason Weston; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf; Vladimir Vapnik (NIPS, 2002)

Model Selection for Small Sample Regression. - Olivier Chapelle; Vladimir Vapnik; Yoshua Bengio (Mach. Learn., 2002)

Choosing Multiple Parameters for Support Vector Machines. - Olivier Chapelle; Vladimir Vapnik; Olivier Bousquet; Sayan Mukherjee 001 (Mach. Learn., 2002)

Feature Selection for Support Vector Machines by Means of Genetic Algorithms. - Holger Fröhlich; Olivier Chapelle; Bernhard Schölkopf (ICTAI, 2003)

Measure Based Regularization. - Olivier Bousquet; Olivier Chapelle; Matthias Hein 001 (NIPS, 2003)

Feature selection and transduction for prediction of molecular bioactivity for drug design. - Jason Weston; Fernando Pérez-Cruz; Olivier Bousquet; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf (Bioinform., 2003)

A Machine Learning Approach to Conjoint Analysis. - Olivier Chapelle; Zaïd Harchaoui (NIPS, 2004)

Feature Selection for Support Vector Machines Using Genetic Algorithms. - Holger Fröhlich; Olivier Chapelle; Bernhard Schölkopf (Int. J. Artif. Intell. Tools, 2004)

Active Learning for Parzen Window Classifier. - Olivier Chapelle (AISTATS, 2005)

Semi-Supervised Classification by Low Density Separation. - Olivier Chapelle; Alexander Zien (AISTATS, 2005)

An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. - Adam Kowalczyk; Olivier Chapelle (ALT, 2005)

Implicit surface modelling as an eigenvalue problem. - Christian Walder; Olivier Chapelle; Bernhard Schölkopf (ICML, 2005)

Estimating Predictive Variances with Kernel Ridge Regression. - Gavin C. Cawley; Nicola L. C. Talbot; Olivier Chapelle (MLCW, 2005)

The 2005 PASCAL Visual Object Classes Challenge. - Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dorkó; Stefan Duffner; Jan Eichhorn; et al. (MLCW, 2005)

Introduction to Semi-Supervised Learning. - Olivier Chapelle; Bernhard Schölkopf; Alexander Zien (Semi-Supervised Learning, 2006)

Analysis of Benchmarks. - Olivier Chapelle; Bernhard Schölkopf; Alexander Zien (Semi-Supervised Learning, 2006)

A Discussion of Semi-Supervised Learning and Transduction. - Olivier Chapelle; Bernhard Schölkopf; Alexander Zien (Semi-Supervised Learning, 2006)

Combining a Filter Method with SVMs. - Thomas Navin Lal; Olivier Chapelle; Bernhard Schölkopf (Feature Extraction, 2006)

Embedded Methods. - Thomas Navin Lal; Olivier Chapelle; Jason Weston; André Elisseeff (Feature Extraction, 2006)

A continuation method for semi-supervised SVMs. - Olivier Chapelle; Mingmin Chi; Alexander Zien (ICML, 2006)

Deterministic annealing for semi-supervised kernel machines. - Vikas Sindhwani; S. Sathiya Keerthi; Olivier Chapelle (ICML, 2006)

Branch and Bound for Semi-Supervised Support Vector Machines. - Olivier Chapelle; Vikas Sindhwani; S. Sathiya Keerthi (NIPS, 2006)

An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. - S. Sathiya Keerthi; Vikas Sindhwani; Olivier Chapelle (NIPS, 2006)

Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. - Christian Walder; Bernhard Schölkopf; Olivier Chapelle (NIPS, 2006)

Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. - Christian Walder; Bernhard Schölkopf; Olivier Chapelle (Comput. Graph. Forum, 2006)

Building Support Vector Machines with Reduced Classifier Complexity. - S. Sathiya Keerthi; Olivier Chapelle; Dennis DeCoste (J. Mach. Learn. Res., 2006)

An Analysis of Inference with the Universum. - Fabian H. Sinz; Olivier Chapelle; Alekh Agarwal; Bernhard Schölkopf (NIPS, 2007)

Learning with Transformation Invariant Kernels. - Christian Walder; Olivier Chapelle (NIPS, 2007)

A General Boosting Method and its Application to Learning Ranking Functions for Web Search. - Zhaohui Zheng 001; Hongyuan Zha; Tong Zhang 001; Olivier Chapelle; Keke Chen; Gordon Sun (NIPS, 2007)

Deterministic Annealing for Multiple-Instance Learning. - Peter V. Gehler; Olivier Chapelle (AISTATS, 2007)

Training a Support Vector Machine in the Primal. - Olivier Chapelle (Neural Comput., 2007)

Web spam identification through content and hyperlinks. - Jacob D. Abernethy; Olivier Chapelle; Carlos Castillo 001 (AIRWeb, 2008)

Tighter Bounds for Structured Estimation. - Olivier Chapelle; Chuong B. Do; Quoc V. Le; Alexander J. Smola; Choon Hui Teo (NIPS, 2008)

Large Margin Taxonomy Embedding for Document Categorization. - Kilian Q. Weinberger; Olivier Chapelle (NIPS, 2008)

Optimization Techniques for Semi-Supervised Support Vector Machines. - Olivier Chapelle; Vikas Sindhwani; S. Sathiya Keerthi (J. Mach. Learn. Res., 2008)

Beyond binary relevance: preferences, diversity, and set-level judgments. - Paul N. Bennett; Ben Carterette; Olivier Chapelle; Thorsten Joachims (SIGIR Forum, 2008)

Supervised semantic indexing. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Olivier Chapelle; Kilian Q. Weinberger (CIKM, 2009)

Expected reciprocal rank for graded relevance. - Olivier Chapelle; Donald Metlzer; Ya Zhang 002; Pierre Grinspan (CIKM, 2009)

Global ranking by exploiting user clicks. - Shihao Ji 001; Ke Zhou 002; Ciya Liao; Zhaohui Zheng 001; Gui-Rong Xue; Olivier Chapelle; Gordon Sun; Hongyuan Zha (SIGIR, 2009)

A dynamic bayesian network click model for web search ranking. - Olivier Chapelle; Ya Zhang 002 (WWW, 2009)

Multi-task learning for boosting with application to web search ranking. - Olivier Chapelle; Pannagadatta K. Shivaswamy; Srinivas Vadrevu; Kilian Q. Weinberger; Ya Zhang 002; Belle L. Tseng (KDD, 2010)

Active learning for ranking through expected loss optimization. - Bo Long; Olivier Chapelle; Ya Zhang 002; Yi Chang 001; Zhaohui Zheng 001; Belle L. Tseng (SIGIR, 2010)

Learning more powerful test statistics for click-based retrieval evaluation. - Yisong Yue; Yue Gao 005; Olivier Chapelle; Ya Zhang 002; Thorsten Joachims (SIGIR, 2010)

Early exit optimizations for additive machine learned ranking systems. - Berkant Barla Cambazoglu; Hugo Zaragoza; Olivier Chapelle; Jiang Chen; Ciya Liao; Zhaohui Zheng 001; Jon Degenhardt (WSDM, 2010)

Learning to rank with (a lot of) word features. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Olivier Chapelle; Kilian Q. Weinberger (Inf. Retr., 2010)

Efficient algorithms for ranking with SVMs. - Olivier Chapelle; S. Sathiya Keerthi (Inf. Retr., 2010)

Gradient descent optimization of smoothed information retrieval metrics. - Olivier Chapelle; Mingrui Wu (Inf. Retr., 2010)

Graph regularization methods for Web spam detection. - Jacob D. Abernethy; Olivier Chapelle; Carlos Castillo 001 (Mach. Learn., 2010)

An Empirical Evaluation of Thompson Sampling. - Olivier Chapelle; Lihong Li 001 (NIPS, 2011)

Intent-based diversification of web search results: metrics and algorithms. - Olivier Chapelle; Shihao Ji 001; Ciya Liao; Emre Velipasaoglu; Larry Lai; Su-Lin Wu (Inf. Retr., 2011)

Yahoo! Learning to Rank Challenge Overview. - Olivier Chapelle; Yi Chang 001 (Yahoo! Learning to Rank Challenge, 2011)

Future directions in learning to rank. - Olivier Chapelle; Yi Chang 001; Tie-Yan Liu (Yahoo! Learning to Rank Challenge, 2011)

Boosted multi-task learning. - Olivier Chapelle; Pannagadatta K. Shivaswamy; Srinivas Vadrevu; Kilian Q. Weinberger; Ya Zhang 002; Belle L. Tseng (Mach. Learn., 2011)

The Greedy Miser: Learning under Test-time Budgets. - Zhixiang Eddie Xu; Kilian Q. Weinberger; Olivier Chapelle (ICML, 2012)

Learning to suggest: a machine learning framework for ranking query suggestions. - Umut Ozertem; Olivier Chapelle; Pinar Donmez; Emre Velipasaoglu (SIGIR, 2012)

Distance Metric Learning for Kernel Machines - Zhixiang Eddie Xu; Kilian Q. Weinberger; Olivier Chapelle (CoRR, 2012)

Classifier Cascade for Minimizing Feature Evaluation Cost. - Minmin Chen; Zhixiang Eddie Xu; Kilian Q. Weinberger; Olivier Chapelle; Dor Kedem (AISTATS, 2012)

Deterministic Annealing for Semi-Supervised Structured Output Learning. - Paramveer S. Dhillon; S. Sathiya Keerthi; Kedar Bellare; Olivier Chapelle; Sundararajan Sellamanickam (AISTATS, 2012)

Open Problem: Regret Bounds for Thompson Sampling. - Lihong Li 001; Olivier Chapelle (COLT, 2012)

Large-scale validation and analysis of interleaved search evaluation. - Olivier Chapelle; Thorsten Joachims; Filip Radlinski; Yisong Yue (ACM Trans. Inf. Syst., 2012)

Modeling delayed feedback in display advertising. - Olivier Chapelle (KDD, 2014)

A reliable effective terascale linear learning system. - Alekh Agarwal; Olivier Chapelle; Miroslav Dudík; John Langford 001 (J. Mach. Learn. Res., 2014)

Classifier cascades and trees for minimizing feature evaluation cost. - Zhixiang Eddie Xu; Matt J. Kusner; Kilian Q. Weinberger; Minmin Chen; Olivier Chapelle (J. Mach. Learn. Res., 2014)

Simple and Scalable Response Prediction for Display Advertising. - Olivier Chapelle; Eren Manavoglu; Rómer Rosales (ACM Trans. Intell. Syst. Technol., 2014)

Offline Evaluation of Response Prediction in Online Advertising Auctions. - Olivier Chapelle (WWW (Companion Volume), 2015)

Active Learning for Ranking through Expected Loss Optimization. - Bo Long; Jiang Bian 002; Olivier Chapelle; Ya Zhang 002; Yoshiyuki Inagaki; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2015)

Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. - Flavian Vasile; Damien Lefortier; Olivier Chapelle (ADKDD@KDD, 2017)

Field-aware Factorization Machines in a Real-world Online Advertising System. - Yuchin Juan; Damien Lefortier; Olivier Chapelle (WWW (Companion Volume), 2017)