The International Machine Learning Society

ICML 2007

The Twenty-Fourth International Conference on Machine Learning
was held June 20-24, 2007, Oregon State University, Corvallis, USA. Proceedings of the conference can be purchased from Omnipress

ICML 2007 Proceedings

Please refer to papers in this volume as:

Zoubin Ghahramani (Ed.) Proceedings of the 24th International Conference on Machine Learning, Omni Press, 2007 [All accepted papers (58MB)] [Citations (BibTex)]

Quantum Clustering Algorithms

[Abstract] [Paper]

Esma Ämeur - Université de Montréal, Canada

Gilles Brassard - Université de Montréal, Canada

Sébastien Gambs - Université de Montréal, Canada

Learning Random Walks to Rank Nodes in Graphs

[Abstract] [Paper]

Alekh Agarwal - IIT Bombay, India

Soumen Chakrabarti - IIT Bombay, India

Uncovering Shared Structures in Multiclass Classification

[Abstract] [Paper]

Yonatan Amit - Hebrew University, Jerusalem, Isarel

Michael Fink - Hebrew University, Jerusalem, Isarel

Nathan Srebro - Toyota Technological Institute at Chicago, U.S.

Shimon Ullman - Weizmann Institute of Science, Israel

Two-view Feature Generation Model for Semi-supervised Learning

[Abstract] [Paper]

Rie Ando - IBM T.J. Watson Research Center, USA

Tong Zhang - Yahoo Inc., USA

Scalable Training of L1-regularized Log-linear Models

[Abstract] [Paper]

Galen Andrew - Microsoft Research, USA

Jianfeng Gao - Microsoft Research, USA

Multiclass Core Vector Machine

[Abstract] [Paper]

  1. Asharaf - Computer Science and Automation, Indian Institute of Science, Bangalore - 560012, India
  1. Narasimha Murty - Computer Science and Automation, Indian Institute of Science, Bangalore - 560012, India
    1. Shevade - Computer Science and Automation, Indian Institute of Science, Bangalore - 560012, India

The Rendezvous Algorithm: Multiclass Semi-Supervised Learning with Markov Random Walks

[Abstract] [Paper]

Arik Azran - University of Cambridge, UK

Focussed Crawling with Scalable Ordinal Regression Solvers

[Abstract] [Paper]

Rashmin Babaria - Indian Institute of Science, INDIA

Saketha Nath Jagarlapudi - Indian Institute of Science, INDIA

Krishnan S. Kumar - Indian Institute of Science, INDIA

Sivaramakrishnan Ramanujam Kaveri - Indian Institute of Science, INDIA

Chiranjib Bhattacharyya - Indian Institute of Science, INDIA

  1. Narasimha Murty - Indian Institute of Science, INDIA

Learning Distance Function by Coding Similarity

[Abstract] [Paper]

Aharon Bar Hillel - Intel research, Israel

Daphna Weinshall - The Hebrew university of Jerusalem, Israel

Structural Alignment based Kernels for Protein Structure Classification

[Abstract] [Paper]

Sourangshu Bhattacharya - Indian Institute of Science, India

Chiranjib Bhattacharyya - Indian Institute of Science, India

Nagasuma R. Chandra - Indian Institute of Science, India

Discriminative Learning for Differing Training and Test Distributions

[Abstract] [Paper]

Steffen Bickel - Max Planck Institute for Computer Science, Germany

Michael Brüeckner - Max Planck Institute for Computer Science, Germany

Tobias Scheffer - Max Planck Institute for Computer Science, Germany

Solving MultiClass Support Vector Machines with LaRank

[Abstract] [Paper]

Antoine Bordes - LIP, Universite de Paris 6,104 Avenue du Pdt Kennedy, 75016 Paris, France

Léon Bottou - NEC Laboratories America, Inc.,, USA

Patrick Gallinari - LIP, Universite de Paris 6,104 Avenue du Pdt Kennedy, 75016 Paris, France

Jason Weston - NEC Laboratories America, Inc.,, USA

Efficiently Computing Minimax Expected-Size Confidence Regions

[Abstract] [Paper]

Brent Bryan - Machine Learning Department; Carnegie Mellon University, USA

  1. Brendan McMahan - Google Pittsburgh, USA

Chad M. Schafer - Department of Statistics; Carnegie Mellon University, USA

Jeff Schneider - Robotics Institute; Carnegie Mellon University, USA

Multiple Instance Learning for Sparse Positive Bags

[Abstract] [Paper]

Razvan C. Bunescu - University of Texas at Austin, USA

Raymond J. Mooney - University of Texas at Austin, USA

Cluster Analysis of Heterogeneous Rank Data

[Abstract] [Paper]

Ludwig M. Busse - Institute of Computational Science, ETH Zurich, Switzerland

Peter Orbanz - Institute of Computational Science, ETH Zurich, Switzerland

Joachim M. Buhmann - Institute of Computational Science, ETH Zurich, Switzerland

Feature Selection in Kernel Space

[Abstract] [Paper]

Bin Cao - Peking University, China

Dou Shen - Hong Kong University of Science and Technology, China

Jian-Tao Sun - Microsoft Research Asia, China

Qiang Yang - Hong Kong University of Science and Technology, China

Zheng Chen - Microsoft Research Asia, China

Learning to Rank: From Pairwise Approach to Listwise Approach

[Abstract] [Paper]

Zhe Cao - Tsinghua University, China

Tao Qin - Tsinghua University, China

Tie-Yan Liu - Microsoft Research Asia, China

Ming-Feng Tsai - National Taiwan University, China

Hang Li - Microsoft Research Asia, China

Local Similarity Discriminant Analysis

[Abstract] [Paper]

Luca Cazzanti - Applied Physics Lab-University of Washington, USA

Maya Gupta - University of Washington, USA

Direct Convex Relaxations of Sparse SVM

[Abstract] [Paper]

Antoni B. Chan - University of California, San Diego, USA

Nuno Vasconcelos - University of California, San Diego, USA

Gert R. G. Lanckriet - University of California, San Diego, USA

Minimum Reference Set Based Feature Selection for Small Sample Classifications

[Abstract] [Paper]

Xue-wen Chen - Department of Electrical Engineering and Computer Science, The University of Kansas, USA

Jong Cheol Jeong - Department of Electrical Engineering and Computer Science, The University of Kansas, USA

Learning to Compress Images and Video

[Abstract] [Paper]

Li Cheng - National ICT Australia, Australia

S.V.N. Vishwanathan - National ICT Australia, Australia

Magnitude-Preserving Ranking Algorithms

[Abstract] [Paper]

Corinna Cortes - Google Research, New York, USA

Mehryar Mohri - Courant Institute of Mathematical Sciences and Google Research, USA

Ashish Rastogi - Courant Institute of Mathematical Sciences, New York University, USA

Full Regularization Path for Sparse Principal Component Analysis

[Abstract] [Paper]

Alexandre d'Aspremont - Princeton University, USA

Francis R. Bach - Ecole des Mines de Paris, France

Laurent El Ghaoui - U.C. Berkeley, USA

Kernel Selection for Semi-Supervised Kernel Machines

[Abstract] [Paper]

Guang Dai - Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong

Dit-Yan Yeung - Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong

Boosting for Transfer Learning

[Abstract] [Paper]

Wenyuan Dai - Shanghai Jiao Tong University, China

Qiang Yang - Hong Kong University of Science and Technology, Hong Kong, China

Gui-Rong Xue - Shanghai Jiao Tong University, China

Yong Yu - Shanghai Jiao Tong University, China

Intractability and Clustering with Constraints

[Abstract] [Paper]

Ian Davidson - SUNY - Albany, USA

S.S. Ravi - SUNY - Albany, USA

Information-Theoretic Metric Learning

[Abstract] [Paper]

Jason V. Davis - University of Texas at Austin, USA

Brian Kulis - University of Texas at Austin, USA

Prateek Jain - University of Texas at Austin, USA

Suvrit Sra - University of Texas at Austin, USA

Inderjit S. Dhillon - University of Texas at Austin, USA

An Integrated Approach to Feature Invention and Model Construction for Drug Activity Prediction

[Abstract] [Paper]

Jesse Davis - University of Wisconsin-Madison, USA

Vítor Santos Costa - University of Porto, Portugal

Soumya Ray - Oregon State University, USA

David Page - University of Wisconsin-Madison, USA

Percentile Optimization in Uncertain MDP with Application to Efficient Exploration

[Abstract] [Paper]

Erick Delage - Stanford University, USA

Shie Mannor - McGill University, Canada

Unsupervised Prediction of Citation Influences

[Abstract] [Paper]

Laura Dietz - Max Planck Institute for Computer Science, Germany

Steffen Bickel - Max Planck Institute for Computer Science, Germany

Tobias Scheffer - Max Planck Institute for Computer Science, Germany

Non-Isometric Manifold Learning: Analysis and an Algorithm

[Abstract] [Paper]

Piotr Dollár - University Of California, San Diego, United States

Vincent Rabaud - University Of California, San Diego, United States

Serge Belongie - University Of California, San Diego, United States

Hierarchical Maximum Entropy Density Estimation

[Abstract] [Paper]

Miroslav Dudík - Princeton University, U.S.

David M. Blei - Princeton University, U.S.

Robert E. Schapire - Princeton University, U.S.

CarpeDiem: an Algorithm for the Fast Evaluation of SSL Classifiers

[Abstract] [Paper]

Roberto Esposito - Università di Torino, Italy

Daniele P. Radicioni - Università di Torino, Italy

Manifold-adaptive dimension estimation

[Abstract] [Paper]

Amir massoud Farahmand - University of Alberta, Canada

Csaba Szepesvári - University of Alberta, Canada

Jean-Yves Audibert - Certis - Ecole des Ponts - ParisTech, France

Combining Online and Offline Knowledge in UCT

[Abstract] [Paper]

Sylvain Gelly - Univ. Paris Sud, LRI, CNRS, INRIA, France

David Silver - University of Alberta, Canada

Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplacian Eigenmaps

[Abstract] [Paper]

Samuel Gerber - University of Utah, US

Tolga Tasdizen - University of Utah, US

Ross Whitaker - University of Utah, US

Gradient Boosting for Kernelized Output Spaces

[Abstract] [Paper]

Pierre Geurts - University of Liège, Belgium

Louis Wehenkel - University of Liège, Belgium

Florence d'Alché-Buc - University of Evry, France

Bayesian Actor-Critic Algorithms

[Abstract] [Paper]

Mohammad Ghavamzadeh - University of Alberta, Canada

Yaakov Engel - University of Alberta, Canada

Exponentiated Gradient Algorithms for Log-Linear Structured Prediction

[Abstract] [Paper]

Amir Globerson - MIT, USA

Terry Koo - MIT, USA

Xavier Carreras - MIT, USA

Michael Collins - MIT, USA

Best of Both: A Hybridized Centroid-Medoid Clustering Heuristic

[Abstract] [Paper]

Nizar Grira - National Institute of Informatics, Japan

Michael E. Houle - National Institute of Informatics, Japan

Recovering Temporally Rewiring Networks: A model-based approach

[Abstract] [Paper]

Fan Guo - Carnegie Mellon University, USA

Steve Hanneke - Carnegie Mellon University, USA

Wenjie Fu - Carnegie Mellon University, USA

Eric P. Xing - Carnegie Mellon University, USA

Efficient Inference with Cardinality-based Clique Potentials

[Abstract] [Paper]

Rahul Gupta - IBM Research Lab, New Delhi, India

Ajit A. Diwan - IIT Bombay, India

Sunita Sarawagi - IIT Bombay, India

Sparse Probabilistic Classifiers

[Abstract] [Paper]

Romain Hérault - Heudiasyc UMR 6599 Universite de Technologie de Compiegne, France

Yves Grandvalet - Heudiasyc UMR 6599 Universite de Technologie de Compiegne, France

Supervised Clustering of Streaming Data for Email Batch Detection

[Abstract] [Paper]

Peter Haider - Max Planck Institute for Computer Science, Germany

Ulf Brefeld - Max Planck Institute for Computer Science, Germany

Tobias Scheffer - Max Planck Institute for Computer Science, Germany

A Bound on the Label Complexity of Agnostic Active Learning

[Abstract] [Paper]

Steve Hanneke - Carnegie Mellon University, USA

Learning Nonparametric Kernel Matrices from Pairwise Constraints

[Abstract] [Paper]

Steven C. H. Hoi - The Chinese University of Hong Kong, China

Rong Jin - Michigan State University, USA

Michael R. Lyu - The Chinese University of Hong Kong, China

Parameter Learning for Relational Bayesian Networks

[Abstract] [Paper]

Manfred Jaeger - Aalborg University, Denmark

Bayesian Compressive Sensing and Projection Optimization

[Abstract] [Paper]

Shihao Ji - Duke University, USA

Lawrence Carin - Duke University, USA

Constructing Basis Functions from Directed Graphs for Value Function Approximation

[Abstract] [Paper]

Jeffrey Johns - University of Massachusetts Amherst, U.S.A.

Sridhar Mahadevan - University of Massachusetts Amherst, U.S.A.

Most Likely Heteroscedastic Gaussian Process Regression

[Abstract] [Paper]

Kristian Kersting - MIT CSAIL, USA

Christian Plagemann - University of Freiburg, Germany

Patrick Pfaff - University of Freiburg, Germany

Wolfram Burgard - University of Freiburg, Germany

Neighbor Search with Global Geometry: A Minimax Message Passing Algorithm

[Abstract] [Paper]

Kye-Hyeon Kim - Pohang University of Science and Technology, Korea

Seungjin Choi - Pohang University of Science and Technology, Korea

A Recursive Method for Discriminative Mixture Learning

[Abstract] [Paper]

Minyoung Kim - Rutgers University, USA

Vladimir Pavlovic - Rutgers University, USA

Infinite Mixtures of Trees

[Abstract] [Paper]

Sergey Kirshner - University of Alberta, Canada

Padhraic Smyth - University of California, Irvine, USA

Local Dependent Components

[Abstract] [Paper]

Arto Klami - Helsinki University of Technology, Finland

Samuel Kaski - Helsinki University of Technology, Finland

Statistical Predicate Invention

[Abstract] [Paper]

Stanley Kok - University of Washington, USA

Pedro Domingos - University of Washington, USA

Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection

[Abstract] [Paper]

Nicole Krämer - TU Berlin, Germany

Mikio L. Braun - TU Berlin, Germany

Nonmyopic Active Learning of Gaussian Processes: An Exploration--Exploitation Approach

[Abstract] [Paper]

Andreas Krause - Carnegie Mellon University, USA

Carlos Guestrin - Carnegie Mellon University, USA

On One Method of Non-Diagonal Regularization in Sparse Bayesian Learning

[Abstract] [Paper]

Dmitry Kropotov - Dorodnicyn Computing Centre of the Russian Academy of Sciences, Russia

Dmitry Vetrov - Dorodnicyn Computing Centre of the Russian Academy of Sciences, Russia

Online Kernel PCA with Entropic Matrix Updates

[Abstract] [Paper]

Dima Kuzmin - University of California - Santa Cruz, USA

Manfred K. Warmuth - University of California - Santa Cruz, USA

An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation

[Abstract] [Paper]

Hugo Larochelle - Université de Montréal, Canada

Dumitru Erhan - Université de Montréal, Canada

Aaron Courville - Université de Montréal, Canada

James Bergstra - Université de Montréal, Canada

Yoshua Bengio - Université de Montréal, Canada

The Hierarchical Gaussian Process Latent Variable Model

[Abstract] [Paper]

Neil D. Lawrence - School of Computer Science, University of Manchester, U.K.

Andrew J. Moore - Department of Computer Science, University of Sheffield, U.K.

Scalable Modeling of Real Graphs using Kronecker Multiplication

[Abstract] [Paper]

Jure Leskovec - Carnegie Mellon University, USA

Christos Faloutsos - Carnegie Mellon University, USA

Support Cluster Machine

[Abstract] [Paper]

Bin Li - Department of Computer Science and Engineering, Fudan University, P. R. China

Mingmin Chi - Department of Computer Science and Engineering, Fudan University, P. R. China

Jianping Fan - Department of Computer Science, University of North Carolina, Charlotte., USA

Xiangyang Xue - Department of Computer Science and Engineering, Fudan University, P. R. China

A Transductive Framework of Distance Metric Learning by Spectral Dimensionality Reduction

[Abstract] [Paper]

Fuxin Li - Institute of Automation, Chinese Academy of Sciences, China

Jian Yang - Beijing University of Technology, China

Jue Wang - Institute of Automation, Chinese Academy of Sciences, China

Adaptive Dimension Reduction Using Discriminant Analysis and $K$-means Clustering

[Abstract] [Paper]

Tao Li - Florida International University, USA

Chris Ding - Lawrence Berkeley National Lab, USA

Large-scale RLSC Learning Without Agony

[Abstract] [Paper]

Wenye Li - Dept. Computer Science and Engineering, the Chinese University of Hong Kong, China

Kin-Hong Lee - Dept. Computer Science and Engineering, the Chinese University of Hong Kong, China

Kwong-Sak Leung - Dept. Computer Science and Engineering, the Chinese University of Hong Kong, China

A Novel Orthogonal NMF-Based Belief Compression for POMDPs

[Abstract] [Paper]

Xin Li - Computer Science Department, Hong Kong Baptist University, Hong Kong, China

William K. W. Cheung - Computer Science Department, Hong Kong Baptist University, Hong Kong, China

Jiming Liu - Computer Science Department, Hong Kong Baptist University, Hong Kong, China

Zhili Wu - Computer Science Department, Hong Kong Baptist University, Hong Kong, China

A Permutation-augmented Sampler for DP Mixture Models

[Abstract] [Paper]

Percy Liang - UC Berkeley, USA

Michael I. Jordan - UC Berkeley, USA

Ben Taskar - University of Pennsylvania, USA

Quadratically Gated Mixture of Experts for Incomplete Data Classification

[Abstract] [Paper]

Xuejun Liao - Duke University, USA

Hui Li - Duke University, USA

Lawrence Carin - Duke University, USA

Trust Region Newton Methods for Large-Scale Logistic Regression

[Abstract] [Paper]

Chih-Jen Lin - National Taiwan University, Taiwan

Ruby Chiu-Hsing Weng - National Chengche University, Taiwan

Sathiya Keerthi - Yahoo Research, USA

Relational Clustering by Symmetric Convex Coding

[Abstract] [Paper]

Bo Long - SUNY at Binghamton, USA

Zhongfei Zhang - SUNY at Binghamton, USA

Xiaoyun Wu - Google Inc., USA

Philip S. Yu - IBM Watson Reasearch center, USA

Discriminant Analysis in Correlation Similarity Measure Space

[Abstract] [Paper]

Yong Ma - Sensing & Control Lab., Omron Corporation, Japan

Shihong Lao - Sensing & Control Lab., Omron Corporation, Japan

Erina Takikawa - Sensing & Control Lab., Omron Corporation, Japan

Masato Kawade - Sensing & Control Lab., Omron Corporation, Japan

Adaptive Mesh Compression in 3D Computer Graphics using Multiscale Manifold Learning

[Abstract] [Paper]

Sridhar Mahadevan - University of Massachusetts, Amherst, USA

Simple, Robust, Scalable Semi-supervised Learning via Expectation Regularization

[Abstract] [Paper]

Gideon S. Mann - University of Massachusetts, USA

Andrew McCallum - University of Massachusetts, USA

Automatic Shaping and Decomposition of Reward Functions

[Abstract] [Paper]

Bhaskara Marthi - Massachusetts Institute of Technology, USA

Asymmetric Boosting

[Abstract] [Paper]

Hamed Masnadi-Shirazi - UCSD, USA

Nuno Vasconcelos - UCSD, USA

Linear and Nonlinear Generative Probabilistic Class Models for Shape Contours

[Abstract] [Paper]

Graham McNeill - University of Edinburgh, UK

Sethu Vijayakumar - University of Edinburgh, UK

Bottom-Up Learning of Markov Logic Network Structure

[Abstract] [Paper]

Lilyana Mihalkova - The University of Texas at Austin, USA

Raymond J. Mooney - The University of Texas at Austin, USA

Mixtures of Hierarchical Topics with Pachinko Allocation

[Abstract] [Paper]

David Mimno - University of Massachusetts, Amherst, USA

Wei Li - University of Massachusetts, Amherst, USA

Andrew McCallum - University of Massachusetts, Amherst, USA

Three New Graphical Models for Statistical Language Modelling

[Abstract] [Paper]

Andriy Mnih - University of Toronto, Canada

Geoffrey Hinton - University of Toronto, Canada

Fast and Effective Kernels for Relational Learning from Texts

[Abstract] [Paper]

Alessandro Moschitti - University of Trento, Italy

Fabio Massimo Zanzotto - University of Rome, Italy

Dimensionality Reduction and Generalization

[Abstract] [Paper]

Sofia Mosci - DIFI & DISI, Universita' di Genova, Italy

Lorenzo Rosasco - DISI, Universita' di Genova, Italy

Alessandro Verri - DISI, Universita' di Genova, Italy

Unsupervised Estimation for Noisy-Channel Models

[Abstract] [Paper]

Markos Mylonakis - University of Amsterdam, The Netherlands

Khalil Sima'an - University of Amsterdam, The Netherlands

Rebecca Hwa - University of Pittsburgh, USA

Revisiting Probabilistic Models for Clustering with Constraints

[Abstract] [Paper]

Blaine Nelson - University of California, Berkeley, USA

Ira Cohen - Hewlett-Packard Research Labs, USA

Comparisons of Sequence Labeling Algorithms and Extensions

[Abstract] [Paper]

Nam Nguyen - Department of Computer Science, Cornell University, USA

Yunsong Guo - Department of Computer Science, Cornell University, USA

Multi-Task Learning for Sequential Data via iHMMs and the Nested Dirichlet Process

[Abstract] [Paper]

Kai Ni - Duke University, USA

Lawrence Carin - Duke University, USA

David Dunson - Duke University, USA

Regression on Manifolds using Kernel Dimension Reduction

[Abstract] [Paper]

Jens Nilsson - Centre for Mathematical Sciences, Lund University, Sweden

Fei Sha - Computer Science Division, University of California, Berkeley, USA

Michael I. Jordan - Computer Science Division and Department of Statistics, University of California, Berkeley, USA

Learning State-Action Basis Functions for Hierarchical MDPs

[Abstract] [Paper]

Sarah Osentoski - University of Massachusetts Amherst, USA

Sridhar Mahadevan - University of Massachusetts Amherst, USA

A Fast Linear Separability Test by Projection of Positive Points on Subspaces

[Abstract] [Paper]

Yogananda A. P. - Satyam Computer Services Ltd., India

  1. Narasimha Murty - Indian Institute of Science, India

Lakshmi Gopal - Satyam Computer Services Ltd., India

Multi-armed Bandit Problems with Dependent Arms

[Abstract] [Paper]

Sandeep Pandey - Yahoo, USA

Deepayan Chakrabarti - Yahoo, USA

Deepak Agarwal - Yahoo, USA

Learning for Efficient Retrieval of Structured Data with Noisy Queries

[Abstract] [Paper]

Charles Parker - Oregon State University, United States

Alan Fern - Oregon State University, United States

Prasad Tadepalli - Oregon State University, United States

Analyzing Feature Generation for Value-Function Approximation

[Abstract] [Paper]

Ronald Parr - Duke University, USA

Christopher Painter-Wakefield - Duke University, USA

Lihong Li - Rutgers University, USA

Michael Littman - Rutgers University, USA

Reinforcement Learning by Reward-weighted Regression for Operational Space Control

[Abstract] [Paper]

Jan Peters - Max Planck Institute for Biological Cybernetics, Germany

Stefan Schaal - University of Southern California, USA

Tracking Value Function Dynamics to Improve Reinforcement Learning with Piecewise Linear Function Approximation

[Abstract] [Paper]

Chee Wee Phua - National ICT Australia, Australia

Robert Fitch - National ICT Australia, Australia

Self-taught Learning: Transfer Learning from Unlabeled Data

[Abstract] [Paper]

Rajat Raina - Stanford University, USA

Alexis Battle - Stanford University, USA

Honglak Lee - Stanford University, USA

Benjamin Packer - Stanford University, USA

Andrew Y. Ng - Stanford University, USA

Online Discovery of Similarity Mappings

[Abstract] [Paper]

Alexander Rakhlin - UC Berkeley, USA

Jacob Abernethy - UC Berkeley, USA

Peter L. Bartlett - UC Berkeley, USA

More Efficiency in Multiple Kernel Learning

[Abstract] [Paper]

Alain Rakotomamonjy - Lab ITIS EA4051, Université de Rouen, France

Francis R. Bach - CMM, Ecole des Mines de Paris, France

Stephane Canu - Lab ITIS EA4051, INSA de Rouen, France

Yves Grandvalet - IDIAP, Switzerland

Graph Clustering With Network Structure Indices

[Abstract] [Paper]

Matthew J. Rattigan - University of Massachusetts Amherst, USA

Marc Maier - University of Massachusetts Amherst, USA

David Jensen - University of Massachusetts Amherst, USA

Restricted Boltzmann Machines for Collaborative Filtering

[Abstract] [Paper]

Ruslan Salakhutdinov - University of Toronto, Canada

Andriy Mnih - University of Toronto, Canada

Geoffrey Hinton - University of Toronto, Canada

Sample Compression Bounds for Decision Trees

[Abstract] [Paper]

Mohak Shah - CHUL Research Centre, Faculty of Medicine, Laval University, Canada

Pegasos: Primal Estimated sub-GrAdient SOlver for SVM

[Abstract] [Paper]

Shai Shalev-Shwartz - Hebrew University, Israel

Yoram Singer - Google Inc., USA

Nathan Srebro - Toyota Technological Institute at Chicago, USA

A Dependence Maximization View of Clustering

[Abstract] [Paper]

Le Song - National ICT Australia, Australia

Alex Smola - National ICT Australia, Australia

Arthur Gretton - MPI Tübingen, Germany

Karsten M. Borgwardt - LMU München, Germany

Supervised Feature Selection via Dependence Estimation

[Abstract] [Paper]

Le Song - National ICT Australia, Australia

Alex Smola - National ICT Australia, Australia

Arthur Gretton - MPI Tübingen, Germany

Karsten M. Borgwardt - LMU München, Germany

Justin Bedo - National ICT Australia, Australia

Sparse Eigen Methods by D.C. Programming

[Abstract] [Paper]

Bharath Sriperumbudur - University of California, San Diego, USA

David Torres - University of California, San Diego, USA

Gert Lanckriet - University of California, San Diego, USA

Learning to Solve Game Trees

[Abstract] [Paper]

David Stern - University of Cambridge, UK

Ralf Herbrich - Microsoft Research Ltd., UK

Thore Graepel - Microsoft Research Ltd., UK

Robust Mixtures in the Presence of Measurement Errors

[Abstract] [Paper]

Jianyong Sun - School of Computer Science and School of Physics and Astronomy, University of Birmingham, United Kingdom

Ata Kaban - School of Computer Science, University of Birmingham, United Kingdom

Somak Raychaudhury - School of Physics and Astronomy, University of Birmingham, United Kingdom

A Kernel-based Causal Learning Algorithm

[Abstract] [Paper]

Xiaohai Sun - Max Planck Institute for Biological Cybernetics, Germany

Dominik Janzing - Universitaet Karlsruhe (TH), Germany

Bernhard Schölkopf - Max Planck Institute for Biological Cybernetics, Germany

Kenji Fukumizu - Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo 106-8569, Japan

Piecewise Pseudolikelihood for Efficient Training of Conditional Random Fields

[Abstract] [Paper]

Charles Sutton - University of Massachusetts, United States

Andrew McCallum - University of Massachusetts, United States

On the Role of Tracking in Stationary Environments

[Abstract] [Paper]

Richard S. Sutton - University of Alberta, Canada

Anna Koop - University of Alberta, Canada

David Silver - University of Alberta, Canada

Cross-Domain Transfer for Reinforcement Learning

[Abstract] [Paper]

Matthew E. Taylor - The University of Texas at Austin, USA

Peter Stone - The University of Texas at Austin, USA

Incremental Bayesian Networks for Structure Prediction

[Abstract] [Paper]

Ivan Titov - University of Geneva, Switzerland

James Henderson - University of Edinburgh, United Kingdom

Classifying Matrices with a Spectral Regularization

[Abstract] [Paper]

Ryota Tomioka - Dept. of Mathematical Informatics, IST, The University of Tokyo, Japan

Kazuyuki Aihara - Institute of Industrial Science, The University of Tokyo, Japan

Approximate Maximum Margin Algorithms with Rules Controlled by the Number of Mistakes

[Abstract] [Paper]

Petroula Tsampouka - University of Southampton, UK

John Shawe-Taylor - University College London, UK

Simpler Core Vector Machines with Enclosing Balls

[Abstract] [Paper]

Ivor W. Tsang - Hong Kong University of Science and Technology, Hong Kong

Andras Kocsor - University of Szeged, Hungary

James T. Kwok - Hong Kong University of Science and Technology, Hong Kong

Entire Regularization Paths for Graph Data

[Abstract] [Paper]

Koji Tsuda - Max Planck Institute for Biological Cybernetics, Germany

Discriminative Gaussian Process Latent Variable Models for Classification

[Abstract] [Paper]

Raquel Urtasun - Computer Science and Artificial Intelligence Laboratory, MIT, USA

Trevor Darrell - Computer Science and Artificial Intelligence Laboratory, MIT, USA

Experimental Perspectives on Learning from Imbalanced Data

[Abstract] [Paper]

Jason D. Van Hulse - Florida Atlantic University, USA

Taghi M. Khoshgoftaar - Florida Atlantic University, USA

Amri Napolitano - Florida Atlantic University, USA

Learning from Interpretations: A Rooted Kernel for Ordered Hypergraphs

[Abstract] [Paper]

Gabriel Wachman - Tufts University, USA

Roni Khardon - Tufts University, USA

A Kernel Path Algorithm for Support Vector Machines

[Abstract] [Paper]

Gang Wang - Hong Kong University of Science and Technology, China

Dit-Yan Yeung - Hong Kong University of Science and Technology, China

Frederick Lochovsky - Hong Kong University of Science and Technology, China

Dirichlet Aggregation: Unsupervised Learning towards an Optimal Metric for Proportional Data

[Abstract] [Paper]

Hua-Yan Wang - State Key Laboratory of Machine Perception, Peking University, China

Hongbin Zha - State Key Laboratory of Machine Perception, Peking University, China

Hong Qin - Department of Computer Science, State University of New York at Stony Brook, USA

Transductive Regression Piloted by Inter-Manifold Relations

[Abstract] [Paper]

Huan Wang - The Chinese University of Hong Kong, China

Shuicheng Yan - University of Illinois at Urbana-Champaign, USA

Thomas Huang - University of Illinois at Urbana-Champaign, USA

Jianzhuang Liu - The Chinese University of Hong Kong, China

Xiaoou Tang - The Chinese University of Hong Kong, China

Multifactor Gaussian Process Models for Style-Content Separation

[Abstract] [Paper]

Jack M. Wang - University of Toronto, Canada

David J. Fleet - University of Toronto, Canada

Aaron Hertzmann - University of Toronto, Canada

Hybrid Huberized Support Vector Machines for Microarray Classification

[Abstract] [Paper]

Li Wang - Ross School of Business, University of Michigan, U.S.

Ji Zhu - Department of Statistics, University of Michigan, U.S.

Hui Zou - School of Statistics, University of Minnesota, U.S.

On Learning with Dissimilarity Functions

[Abstract] [Paper]

Liwei Wang - Peking University, China

Cheng Yang - Peking University, China

Jufu Feng - Peking University, China

Winnowing Subspaces

[Abstract] [Paper]

Manfred K. Warmuth - University of California at Santa Cruz, USA

What Is Decreased by the Max-sum Arc Consistency Algorithm?

[Abstract] [Paper]

Tomáš Werner - Dept. of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic

Multi-Task Reinforcement Learning: A Hierarchical Bayesian Approach

[Abstract] [Paper]

Aaron Wilson - Oregon State University, USA

Alan Fern - Oregon State University, USA

Prasad Tadepalli - Oregon State University, USA

Soumya Ray - Oregon State University, USA

Beamforming using the Relevance Vector Machine

[Abstract] [Paper]

David Wipf - University of California, San Francisco, USA

Srikantan Nagarajan - University of California, San Francisco, USA

Learning to Combine Distances for Complex Representations

[Abstract] [Paper]

Adam Woznica - University of Geneva, Switzerland

Alexandros Kalousis - University of Geneva, Switzerland

Melanie Hilario - University of Geneva, Switzerland

Local Learning Projections

[Abstract] [Paper]

Mingrui Wu - Max Planck Institute for Biological Cybernetics, Germany

Kai Yu - NEC Labs America, USA

Shipeng Yu - Siemens Medical Solutions, USA

Bernhard Schölkopf - Max Planck Institute for Biological Cybernetics, Germany

Modeling Changing Dependency Structure in Multivariate Time Series

[Abstract] [Paper]

Xiang Xuan - UBC, Canada

Kevin Murphy - UBC, Canada

The Matrix Stick-Breaking Process for Flexible Multi-Task Learning

[Abstract] [Paper]

Ya Xue - Department of Electrical & Computer Engineering, Duke University, USA

David Dunson - Biostatistics Branch, National Institute of Environmental Health Sciences, USA

Lawrence Carin - Department of Electrical & Computer Engineering, Duke University, USA

Map Building without Localization by Dimensionality Reduction Techniques

[Abstract] [Paper]

Takehisa Yairi - University of Tokyo, Japan

Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different

[Abstract] [Paper]

Keisuke Yamazaki - Tokyo Institute of Technology, Japan

Motoaki Kawanabe - Fraunhofer FIRST IDA, Germany

Sumio Watanabe - Tokyo Institute of Technology, Japan

Masashi Sugiyama - Tokyo Institute of Technology, Japan

Klaus-Robert Müller - Fraunhofer FIRST IDA, Technical University of Berlin, Germany

Least Squares Linear Discriminant Analysis

[Abstract] [Paper]

Jieping Ye - Department of Computer Science and Engineering, Arizona State University, USA

Discriminant Kernel and Regularization Parameter Learning via Semidefinite Programming

[Abstract] [Paper]

Jieping Ye - Department of Computer Science and Engineering, Arizona State University, USA

Jianhui Chen - Department of Computer Science and Engineering, Arizona State University, USA

Shuiwang Ji - Department of Computer Science and Engineering, Arizona State University, USA

Robust Multi-Task Learning with $t$-Processes

[Abstract] [Paper]

Shipeng Yu - CAD and Knowledge Solutions, Siemens Medical Solutions, USA

Volker Tresp - Corporate Technology, Siemens AG, Germany

Kai Yu - NEC Lab America, USA

On the Value of Pairwise Constraints in Classification and Consistency

[Abstract] [Paper]

Jian Zhang - Purdue University, USA

Rong Yan - IBM Research, USA

Maximum Margin Clustering Made Practical

[Abstract] [Paper]

Kai Zhang - Hong Kong University of Science and Technology, Hong Kong

Ivor W. Tsang - Hong Kong University of Science and Technology, Hong Kong

James T. Kwok - Hong Kong University of Science and Technology, Hong Kong

Nonlinear Independent Component Analysis with Minimal Nonlinear Distortion

[Abstract] [Paper]

Kun Zhang - The Chinese University of Hong Kong, Hong Kong

Laiwan Chan - The Chinese University of Hong Kong, Hong Kong

Optimal Dimensionality of Metric Space for Classification

[Abstract] [Paper]

Wei Zhang - Department of Computer Science and Engineering, Fudan University, China

Xiangyang Xue - Department of Computer Science and Engineering, Fudan University, China

Zichen Sun - Department of Computer Science and Engineering, Fudan University, China

Yue-Fei Guo - Department of Computer Science and Engineering, Fudan University, China

Hong Lu - Department of Computer Science and Engineering, Fudan University, China

Conditional Random Fields for Multi-agent Reinforcement Learning

[Abstract] [Paper]

Xinhua Zhang - CSL, RSISE, Australian National University, and SML NICTA, Australia

Douglas Aberdeen - NICTA, Australian National University, Australia

S.V.N. Vishwanathan - SML NICTA, and CSL, RSISE, Australian National University, Australia

Spectral Feature Selection for Supervised and Unsupervised Learning

[Abstract] [Paper]

Zheng Zhao - Arizona State University, USA

Huan Liu - Arizona State University, USA

Spectral Clustering with Multiple Views

[Abstract] [Paper]

Dengyong Zhou - Microsoft Research, USA

Christopher J.C. Burges - Microsoft Research, USA

On the Relation Between Multi-Instance Learning and Semi-Supervised Learning

[Abstract] [Paper]

Zhi-Hua Zhou - Nanjing University, China

Jun-Ming Xu - Nanjing University, China

Dynamic Hierarchical Markov Random Fields and their Application to Web Data Extraction

[Abstract] [Paper]

Jun Zhu - Tsinghua University, P. R. China

Zaiqing Nie - Microsoft Research Asia, P. R. China

Bo Zhang - Tsinghua University, P. R. China

Ji-Rong Wen - Microsoft Research Asia, P. R. China

Transductive Support Vector Machines for Structured Variables

[Abstract] [Paper]

Alexander Zien - Max Planck Institute for Biological Cybernetics and Friedrich Miescher Laboratory, Germany

Ulf Brefeld - Max Planck Institute for Computer Science, Germany

Tobias Scheffer - Max Planck Institute for Computer Science, Germany

Multiclass Multiple Kernel Learning

[Abstract] [Paper]

Alexander Zien - MPI for Biological Cybernetics and Friedrich Miescher Laboratory, Tübingen, Germany

Cheng Soon Ong - MPI for Biological Cybernetics and Friedrich Miescher Laboratory, Tübingen, Germany

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