Chapelle, Olivier

37 publications

JMLR 2014 Classifier Cascades and Trees for Minimizing Feature Evaluation Cost Zhixiang Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle

AISTATS 2012 Classifier Cascade for Minimizing Feature Evaluation Cost Minmin Chen, Zhixiang Xu, Kilian Weinberger, Olivier Chapelle, Dor Kedem

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

COLT 2012 Open Problem: Regret Bounds for Thompson Sampling Lihong Li, Olivier Chapelle

ICML 2012 The Greedy Miser: Learning Under Test-Time Budgets Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle

NeurIPS 2011 An Empirical Evaluation of Thompson Sampling Olivier Chapelle, Lihong Li

MLJ 2011 Boosted Multi-Task Learning Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng

MLJ 2010 Graph Regularization Methods for Web Spam Detection Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo

NeurIPS 2008 Large Margin Taxonomy Embedding for Document Categorization Kilian Q. Weinberger, Olivier Chapelle

JMLR 2008 Optimization Techniques for Semi-Supervised Support Vector Machines Olivier Chapelle, Vikas Sindhwani, Sathiya S. Keerthi

NeurIPS 2008 Tighter Bounds for Structured Estimation Olivier Chapelle, Chuong B. Do, Choon H. Teo, Quoc V. Le, Alex J. Smola

NeurIPS 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, Gordon Sun

NeurIPS 2007 An Analysis of Inference with the Universum Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz, Bernhard Schölkopf

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

NeurIPS 2007 Learning with Transformation Invariant Kernels Christian Walder, Olivier Chapelle

ICML 2006 A Continuation Method for Semi-Supervised SVMs Olivier Chapelle, Mingmin Chi, Alexander Zien

NeurIPS 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models S. S. Keerthi, Vikas Sindhwani, Olivier Chapelle

NeurIPS 2006 Branch and Bound for Semi-Supervised Support Vector Machines Olivier Chapelle, Vikas Sindhwani, S. S. Keerthi

JMLR 2006 Building Support Vector Machines with Reduced Classifier Complexity S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste

ICML 2006 Deterministic Annealing for Semi-Supervised Kernel Machines Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle

NeurIPS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions Christian Walder, Olivier Chapelle, Bernhard Schölkopf

AISTATS 2005 Active Learning for Parzen Window Classifier Olivier Chapelle

ALT 2005 An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron Adam Kowalczyk, Olivier Chapelle

ICML 2005 Implicit Surface Modelling as an Eigenvalue Problem Christian Walder, Olivier Chapelle, Bernhard Schölkopf

AISTATS 2005 Semi-Supervised Classification by Low Density Separation Olivier Chapelle, Alexander Zien

NeurIPS 2004 A Machine Learning Approach to Conjoint Analysis Olivier Chapelle, Zaïd Harchaoui

NeurIPS 2003 Measure Based Regularization Olivier Bousquet, Olivier Chapelle, Matthias Hein

MLJ 2002 Choosing Multiple Parameters for Support Vector Machines Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee

NeurIPS 2002 Cluster Kernels for Semi-Supervised Learning Olivier Chapelle, Jason Weston, Bernhard Schölkopf

NeurIPS 2002 Kernel Dependency Estimation Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff, Bernhard Schölkopf

MLJ 2002 Model Selection for Small Sample Regression Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio

NeurIPS 2001 Incorporating Invariances in Non-Linear Support Vector Machines Olivier Chapelle, Bernhard Schölkopf

NeCo 2000 Bounds on Error Expectation for Support Vector Machines Vladimir Vapnik, Olivier Chapelle

NeurIPS 2000 Feature Selection for SVMs Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik

NeurIPS 2000 Vicinal Risk Minimization Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik

NeurIPS 1999 Model Selection for Support Vector Machines Olivier Chapelle, Vladimir Vapnik

NeurIPS 1999 Transductive Inference for Estimating Values of Functions Olivier Chapelle, Vladimir Vapnik, Jason Weston