| 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] |
|
S. Asharaf - Computer Science and Automation, Indian Institute of Science, Bangalore - 560012, India
M. Narasimha Murty - Computer Science and Automation, Indian Institute of Science, Bangalore - 560012, India S. K. 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 M. 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
H. 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. | |
| Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks | [Abstract][Paper] |
|
Su-In Lee - Stanford University, USA
Vassil Chatalbashev - Stanford University, USA David Vickrey - Stanford University, USA Daphne Koller - Stanford University, USA | |
| 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
M. 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] |
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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] |
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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] |
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Liwei Wang - Peking University, China
Cheng Yang - Peking University, China Jufu Feng - Peking University, China | |
| Winnowing Subspaces | [Abstract][Paper] |
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Manfred K. Warmuth - University of California at Santa Cruz, USA
| |
| What Is Decreased by the Max-sum Arc Consistency Algorithm? | [Abstract][Paper] |
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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] |
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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] |
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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] |
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Adam Woznica - University of Geneva, Switzerland
Alexandros Kalousis - University of Geneva, Switzerland Melanie Hilario - University of Geneva, Switzerland | |
| Local Learning Projections | [Abstract][Paper] |
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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 | |
| On Learning Linear Ranking Functions for Beam Search | [Abstract][Paper] |
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Yuehua Xu - School of EECS, Oregon State University, USA
Alan Fern - School of EECS, Oregon State University, USA | |
| Modeling Changing Dependency Structure in Multivariate Time Series | [Abstract][Paper] |
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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] |
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Takehisa Yairi - University of Tokyo, Japan
| |
| Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different | [Abstract][Paper] |
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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] |
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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] |
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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] |
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Jian Zhang - Purdue University, USA
Rong Yan - IBM Research, USA | |
| Maximum Margin Clustering Made Practical | [Abstract][Paper] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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 | |