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All publications by Olivier Chapelle
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The Greedy Miser: Learning under Test-time Budgets
Zhixiang Xu, Olivier Chapelle and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer S. Dhillon, S. S. Keerthi, Kedar Bellare, Olivier Chapelle and Sundararajan Sellamanickam
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem and Zhixiang Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


An Empirical Evaluation of Thompson Sampling
Olivier Chapelle and Lihong Li
Advances in Neural Information Processing Systems 24, 2011


Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Journal of Machine Learning Research, 2008


Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo, Quoc V. Le and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger and Olivier Chapelle
Advances in Neural Information Processing Systems 21, 2008


An Analysis of Inference with the Universum
Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 20, 2007


A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen and Gordon Sun
Advances in Neural Information Processing Systems 20, 2007


Learning with Transformation Invariant Kernels
Christian Walder and Olivier Chapelle
Advances in Neural Information Processing Systems 20, 2007


Deterministic Annealing for Multiple-Instance Learning
Peter V. Gehler and Olivier Chapelle
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Deterministic annealing for semi-supervised kernel machines
Vikas Sindhwani, S. S. Keerthi and Olivier Chapelle
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A continuation method for semi-supervised SVMs
Olivier Chapelle, Mingmin Chi and Alexander Zien
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. S. Keerthi, Vikas Sindhwani and Olivier Chapelle
Advances in Neural Information Processing Systems 19, 2006


Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Building Support Vector Machines with Reduced Classifier Complexity
S. S. Keerthi, Olivier Chapelle and Dennis Decoste
Journal of Machine Learning Research, 2006


Implicit surface modelling as an eigenvalue problem
Christian Walder, Olivier Chapelle and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A Machine Learning Approach to Conjoint Analysis
Olivier Chapelle and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 17, 2004


Measure Based Regularization
Olivier Bousquet, Olivier Chapelle and Matthias Hein
Advances in Neural Information Processing Systems 16, 2003


Kernel Dependency Estimation
Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


Cluster Kernels for Semi-Supervised Learning
Olivier Chapelle, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


Incorporating Invariances in Non-Linear Support Vector Machines
Olivier Chapelle and Bernhard Schölkopf
Advances in Neural Information Processing Systems 14, 2001