ICML 2006
157 papers
A Continuation Method for Semi-Supervised SVMs
Olivier Chapelle, Mingmin Chi, Alexander Zien A DC-Programming Algorithm for Kernel Selection
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil A Graphical Model for Predicting Protein Molecular Function
Barbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner A Latent Space Model for Rank Data
Isobel Claire Gormley, Thomas Brendan Murphy Active Sampling for Detecting Irrelevant Features
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani Agnostic Active Learning
Maria-Florina Balcan, Alina Beygelzimer, John Langford Categorization in Multiple Category Systems
Jean-Michel Renders, Éric Gaussier, Cyril Goutte, François Pacull, Gabriela Csurka CN = CPCN
Liva Ralaivola, François Denis, Christophe Nicolas Magnan Collaborative Ordinal Regression
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel Convex Optimization Techniques for Fitting Sparse Gaussian Graphical Models
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis Cover Trees for Nearest Neighbor
Alina Beygelzimer, Sham M. Kakade, John Langford Data Association for Topic Intensity Tracking
Andreas Krause, Jure Leskovec, Carlos Guestrin Dealing with Non-Stationary Environments Using Context Detection
Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel Discovering Functional Communities in Dynamical Networks
Cosma Rohilla Shalizi, Marcelo F. Camperi, Kristina Lisa Klinkner Discriminative Cluster Analysis
Fernando De la Torre, Takeo Kanade Discriminative Unsupervised Learning of Structured Predictors
Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans Dynamic Topic Models
David M. Blei, John D. Lafferty Efficient Co-Regularised Least Squares Regression
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel Experience-Efficient Learning in Associative Bandit Problems
Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh Fast Particle Smoothing: If I Had a Million Particles
Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang Fast Time Series Classification Using Numerosity Reduction
Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana Generalized Spectral Bounds for Sparse LDA
Baback Moghaddam, Yair Weiss, Shai Avidan Hidden Process Models
Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi Higher Order Learning with Graphs
Sameer Agarwal, Kristin Branson, Serge J. Belongie Inference with the Universum
Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik Inferring Organizational Titles in Online Communication
Galileo Mark S. Namata Jr., Lise Getoor, Christopher P. Diehl Kernelizing the Output of Tree-Based Methods
Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc Learning High-Order MRF Priors of Color Images
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola, Matthias O. Franz Learning Low-Rank Kernel Matrices
Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon Learning Predictive State Representations Using Non-Blind Policies
Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson Learning to Impersonate
Moni Naor, Guy N. Rothblum Maximum Margin Planning
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich Nonstationary Kernel Combination
Darrin P. Lewis, Tony Jebara, William Stafford Noble Online Multiclass Learning by Interclass Hypothesis Sharing
Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman PAC Model-Free Reinforcement Learning
Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman Pareto Optimal Linear Classification
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim Permutation Invariant SVMs
Pannagadatta K. Shivaswamy, Tony Jebara Predictive Search Distributions
Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle Pruning in Ordered Bagging Ensembles
Gonzalo Martínez-Muñoz, Alberto Suárez Ranking Individuals by Group Comparisons
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng Relational Temporal Difference Learning
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley Robust Euclidean Embedding
Lawrence Cayton, Sanjoy Dasgupta Robust Probabilistic Projections
Cédric Archambeau, Nicolas Delannay, Michel Verleysen Semi-Supervised Nonlinear Dimensionality Reduction
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow Sequential Update of ADtrees
Josep Roure, Andrew W. Moore Simpler Knowledge-Based Support Vector Machines
Quoc V. Le, Alexander J. Smola, Thomas Gärtner Spectral Clustering for Multi-Type Relational Data
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu Statistical Debugging: Simultaneous Identification of Multiple Bugs
Alice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik, Alex Aiken Structural Inference of Hierarchies in Networks
Aaron Clauset, Cristopher Moore, Mark E. J. Newman Trading Convexity for Scalability
Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou