Accepted Papers

Euclidean Distances, soft and spectral Clustering on Weighted Graphs
François Bavaud, University of Lausanne

CREST: Efficient Confident Search in Large Review Corpora
Theodoros Lappas, UCR; Dimitrios Gunopulos, UoA

Weighted Symbols-based Edit Distance for String-Structured Image Classification
Cécile Barat, Université Jean Monnet; Christophe Ducottet, Université Jean Monnet; Elisa Fromont, Université Jean Monnet; Anne-Claire Legrand, Université Jean Monnet; Marc Sebban, Université Jean Monnet

Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models

Sriraam Natarajan, University Of Wisconsin; Tushar Khot, University Of Wisconsin; Daniel Lowd, University Of Wisconsin; Prasad Tadepalli, University Of Wisconsin; Kristian Kersting, University Of Wisconsin; Jude Shavlik, University Of Wisconsin

Nonparametric Bayesian Clustering Ensembles

Pu Wang, George Mason University; Carlotta Domeniconi, George Mason University; Kathryn Laskey, George Mason University

Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
Frank Eichinger, Karlsruhe Institute of Technology; Klaus Krogmann, Karlsruhe Institute of Technology; Roland Klug, Karlsruhe Institute of Technology; Klemens Böhm, Karlsruhe Institute of Technology

Directed Graph Learning via Co-linkage Similarity and Biased Random Walk
Hua Wang, University of Texas at Arlington; Heng Huang, University of Texas at Arlington; Chris Ding, University of Texas at Arlington

Semi-supervised Projection Clustering with Transferred Centroid Regularization
Bin Tong, Kyushu University; Hao Shao, Kyushu University; Binhui Chou, Kyushu University; Einoshin Suzuki, Kyushu University

Competitive online generalized linear regression under square loss
Fedor Zhdanov, RHUL; Vladimir Vovk, RHUL

On Detecting Clustered Anomalies using SCiForest
Fei Tony LIU, Monash University; kai ming Ting, Monash University; Zhi-Hua Zhou, Nanjing University

Latent Structure Pattern Mining
Andreas Maunz, FDM Uni Freiburg Germany; Christoph Helma, in-silico Toxicology; Tobias Cramer, FDM Uni Freiburg Germany; Stefan Kramer, Technische Universität München

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis
Kazumi Saito, University of Shizuoka; Masahiro Kimura, Ryukoku University; Kouzou Ohara, Aoyama Gakuin University; Hiroshi Motoda, Osaka University

xSocial: Analysis of Large Multi-Modal Social Networks Patterns and a Generator
Nan Du, Nokia Research Center; Hao Wang, Nokia Research Center; Christos Faloutsos, CMU

Permutation Testing Improves Bayesian Network Learning

Ioannis Tsamardinos, University of Crete; Giorgos Borboudakis, ICS-FORTH

Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction
Pavel Kuksa, Department of Computer Science, Rutgers University; Yanjun Qi, NEC Lab America; Bing Bai, NEC Labs America; Ronan Collobert, NEC Labs America; Jason Weston, Google

Complexity Bounds for Batch Active Learning in Classification
Olivier Teytaud, TAO, LRI, Université Paris Sud; Philippe Rolet, TAO, LRI, Université Paris Sud

Graph Regularized Transductive Classification on Heterogeneous Information Networks
Ming Ji, UIUC; Yizhou Sun, UIUC; Marina Danilevsky, UIUC; Jiawei Han, UIUC

Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs
Rudy Raymond, IBM Research - Tokyo; Hisashi Kashima, U of Tokyo

A Concise Representation of Association Rules using Minimal Descriptive Rules
Iyad Batal, University of Pittsburgh; Milos Hauskrecht, University of Pittsburgh

A Game-Theoretic Framework to Identify Overlapping Communities in Social Networks
Wei Chen, Microsoft Research Asia; Zhenming Liu, Harvard University; Xiaorui Sun, Shanghai Jiao Tong University; Yajun Wang, Microsoft Research Asia

A Framework to Choose Amongst Models and Datasets for Transfer Learning
Erheng Zhong, Sun Yat-Sen University; Wei Fan, ; Qiang Yang, ; Olivier Verscheure, IBM; Jiangtao Ren, Sun Yat-Sen University

Synchronization Based Outlier Detection

Junming Shao, University of Munich; Christian Böhm, University of Munich; Qinli Yang, University of Edinburgh; Claudia Plant, Technische Universität München

A Segmented Topic Model based on the Two-parameter Poisson-Dirichlet process

Lan Du, ANU; Wray Buntine, NICTA; Huidong Jin, CSIRO

Entropy and Margin Maximization for Structured Output Learning

Patrick Pletscher, ETH Zurich; Cheng Soon Ong, ETH Zurich; Joachim M. Buhmann, ETH Zurich

Shift-invariant Grouped Multi-task Learning for Gaussian Processes
Yuyang Wang, Tufts University; Roni Khardon, Tufts University; Pavlos Protopapas, Harvard-Smithsonian Center for Astrophysics

Predictive Distribution Matching SVM for Multi-Domain Learning

Chun-Wei Seah, Nanyang Technological Uni; Ivor W. Tsang, ; Yew-Soon Ong, ; Kee-Khoon Lee,

Example-dependent Basis Vector Selection for Kernel-based Classifiers
Antti Ukkonen, Aalto University / HIIT; Marta Arias, UPC

Online Structural Graph Clustering using Frequent Subgraph Mining
Madeleine Seeland, ; Tobian Girschick, ; Fabian Buchwald, ; Stefan Kramer,

Process Mining meets Abstract Interpretation
Josep Carmona, Univ. Politècnica Catalunya; Jordi Cortadella, Universitat Politècnica Catalunya

Demand-Driven Tag Recommendation
Guilherme Menezes, Fed. Univ. of Minas Gerais; Jussara Almeida, Federal Univerisity of Minas Gerais; Fabiano Belém, Federal University of Minas Gerais; Marcos Gonçalves, Federal University of Minas Gerais; Anísio Lacerda, Federal University of Minas Gerais; Edleno Moura, Universidade Federal do Amazonas; Gisele Pappa, Federal University of Minas Gerais; Adriano Veloso, Federal University of Minas Gerais; Nivio Ziviani, Federal University of Minas Gerais

Efficient and Numerically Stable Sparse Learning
Sihong Xie, Sun Yat-Sen University; Wei Fan, ; Olivier Verscheure, IBM; Jiangtao Ren, Sun Yat-Sen University

Summarising Data by Clustering Items
Michael Mampaey, University of Antwerp; Jilles Vreeken,

Exploration in Relational Worlds

Tobias Lang, TU Berlin; Marc Toussaint, ; Kristian Kersting,

Porting Decision Tree Algorithms to Multicore using FastFlow

Marco Aldinucci, University of Torino; Salvatore Ruggieri, University of Pisa; Massimo Torquati, University of Pisa

Constructing Nonlinear Discriminants from Multiple Data Views
Tom Diethe, University College London; David Roi Hardoon, Institute for Infocomm Research, AStar; John Shawe-Taylor, University College London

A Unified Approach to Active Dual Supervisionfor Labeling Features and Examples

Joshua Attenberg, Nyu polytechnic institute; Prem Melville, insitution; Foster Provost, NYU Stern School of Business

Adaptive Bases for Reinforcement Learning
Dotan Di Castro, Technion; Shie Mannor,

Learning Algorithms for Link Prediction based on Chance Constraints
Janardhan Rao Doppa, Oregon State University; Jun Yu, Oregon State University; Prasad Tadepalli, Oregon State University; Lise Getoor, UMD

Accelerating Spectral Clustering with Partial Supervision

Dimitrios Mavroeidis, European Commission

Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Gjergji Kasneci, Microsoft Research Cambridge; Jurgen Gael, Microsoft Research Cambridge; Ralf Herbrich, Microsoft Research Cambridge; Thore Graepel, Microsoft Research Cambridge

Leveraging Bagging for Evolving Data Streams
Albert Bifet, University of Waikato; Geoff Holmes, University of Waikato; Bernhard Pfahringer, University of Waikato

Laplacian Spectrum Learning

Pannagadatta Shivaswamy, Columbia University; Tony Jebara, Columbia University

Smarter Sampling for Bayesian Reinforcement Learning
Pablo Castro, McGill University; Doina Precup, McGill University

Kantorovich distances between rankings with applications to rank aggregation

Stephan Clemencon, Telecom ParisTech; Jeremie Jakubowicz, Telecom ParisTech

Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings

Jason Weston, Google; Samy Bengio, Google; Nicolas Usunier,

Learning to Tag From Noisy Labels

Edith Law, Carnegie Mellon University; Burr Settles, Carnegie Mellon University; Tom Mitchell, Carnegie Mellon University

Surprising Patterns for the Call Duration Distribution of Mobile Phone Users

Pedro Olmo Vaz de Melo, UFMG; Leman Akoglu, Carnegie Mellon University; Christos Faloutsos, ; Antonio Loureiro, UFMG

On The Eigenvectors of p-Laplacian

Dijun Luo, University of Texas at Arlington; Chris Ding, University of Texas at Arlington; Heng Huang, University of Texas at Arlington; Feiping Nie,

Temporal Maximum Margin Markov Network

Xiaoqian Jiang, Carnegie Mellon University; Dong Bing, Carnegie Mellon University; Latanya Sweeney, Carnegie Mellon University

Many-to-Many Graph Matching: a Continuous Relaxation Approach

Mikhail Zaslavskiy, Mines ParisTech; Francis Bach, INRIA; Jean-Philippe Vert,

A Cluster-Level Semi-Supervision Model for Interactive Clustering

Avinava Dubey, ; Indrajit Bhattacharya, IBM Research - India; Shantanu Godbole, IBM Research - India

A measure of robustness of association rules
Yannick Le Bras, Telecom Bretagne; Patrick Meyer, ; Philippe Lenca, ; Stéphane Lallich,

Bagging for biclustering: application to microarray data
Blaise Hanczar, University Paris Descartes; Mohamed Nadif, University Paris Descartes

An Efficient and Scalable Algorithm for Local Bayesian Networks Discovery
Sergio Rodrigues De Morais, University of Lyon; Alexandre Aussem, University of Lyon

Evolutionary Dynamics of Regret Minimization
Gerrit Jan van Ahee, ; Tomas Klos, Delft University of Technology; Karl Tuyls, Maastricht University

On classifying drifting concepts in P2P networks
Hock Hee Ang, NTU; Vivekanand Gopalkrishnan, Nanyang Technological University; Wee Keong Ng, Nanyang Technological University, Singapore; Steven C.H. Hoi, NTU, Singapore

Constrained Parameter Estimation for Semi-Supervised Learning: The Case of the Nearest Mean Classifier

Marco Loog, Delft University of Technology

Adapting Decision DAGs for Multipartite Ranking

José Quevedo, U Oviedo at Gijón; Elena Montañés, University of Oviedo; Oscar Luaces, U Oviedo at Gijón; Juan José del Coz, Artificial Intelligence Center. University of Oviedo at Gijón

Maximal Exceptions with Minimal Descriptions
Matthijs van Leeuwen, Universiteit Utrecht

Mining Adversarial Patterns via Regularized Loss Minimization

Wei Liu, University of Sydney; Sanjay Chawla, University of Sydney

Three approaches for making the naive Bayes classifier discrimination-free.

Sicco Verwer, TU Eindhoven; Toon Calders, Eindhoven University of Technology

Collective traffic forecasting

Marco Lippi, Università di Firenze; Paolo Frasconi, Università di Firenze; Matteo Bertini, Università di Firenze

ITCH: Information-theoretic Cluster Hierarchies

Christian Böhm, University of Munich; Frank Fiedler, University of Munich; Annahita Oswald, University of Munich; Claudia Plant, Florida State University; Bianca Wackersreuther, University of Munich; Peter Wackersreuther, University of Munich

Online Learning in Adversarial Lipschitz Environments

Odalric-Ambrym Maillard, INRIA; Remi Munos, INRIA Lille Nord-Europe

Unsupervised Trajectory Sampling

Nikos Pelekis, University of Piraeus; Ioannis Kopanakis, Tech. Educational Inst. of Crete; Costas Panagiotakis, Univ. of Crete; Ioannis Theodoridis, University of Piraeus

Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
Christopher Kuhlman, Virginia Tech; Anil Kumar, Virginia Tech; Madhav Marathe, Virginia Tech; Daniel Rosenkrantz, University at Albany - State University of New York; S. Ravi, University at Albany - SUNY

Variational Bayesian mixture of robust CCA models
Jaakko Viinikanoja, Aalto University; Arto Klami, Aalto University; Samuel Kaski, Aalto University

Fast Extraction of Locally Optimal Patterns based on Consistent Pattern Function Variations

Frédéric Pennerath, Supélec

Large Margin Learning of Bayesian Classifiers based on Gaussian Mixture Models
Franz Pernkopf, Graz University of Technology; Michael Wohlmayr, Graz University of Technology

First-Order Bayes-Ball

Wannes Meert, KU Leuven; Nima Taghipour, KU Leuven; Hendrik Blockeel, KU Leuven

Sparse Unsupervised Dimensionality Reduction Algorithms
Wenjuan Dou, Zhejiang University; Guang Dai, ; congfu Xu, ; Zhihua Zhang,

Topic Models Conditioned on Relations
Mirwaes Wahabzada, Fraunhofer IAIS; Zhao Xu, Fraunhofer IAIS; Kristian Kersting,

Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations

Joni Pajarinen, Aalto University; Jaakko Peltonen, Aalto University; Ari Hottinen, Nokia; Mikko Uusitalo, Nokia

Relational Retrieval Using a Combination of Path-Constrained Random Walks

Ni Lao, Carnegie Mellon University; William Cohen, Carnegie Mellon University

Fast Active Exploration for Link-Based Preference Learning using Gaussian Processes

Zhao Xu, Fraunhofer IAIS; Kristian Kersting, Fraunhofer IAIS; Thorsten Joachims, Cornell University

Expectation Propagation for Bayesian Multi-task Feature Selection

Daniel Hernández-Lobato, Université Catholique de Louva; José Miguel Hernández Lobato, Universidad Autónoma de Madrid; Thibault Helleputte, Université Catholique de Louvain; Pierre Dupont, University of Louvain

Learning with Randomized Majority Votes

Alexandre Lacasse, Laval University; François Laviolette, francois.laviolette@ift.ulaval.ca; Mario Marchand, Laval University; Francis Turgeon-Boutin, Laval University

Classification with Sums of Separable Functions
Jochen Garcke, TU Berlin

k-Version-Space Multi-Class Classification based on k-Consistency Tests
Evgueni Smirnov, Maastricht University; Georgi Nalbantov, Maastricht University; Nikolay Nikolaev, London University

Classification and Novel Class Detection of Data Streams in A Dynamic Feature Space

Mohammad Masud, University of Texas at Dallas; Qing Chen, University of Texas at Dallas; Jing Gao, University of Illinois at Urbana Champaign; Latifur Khan, University of Texas at Dallas; Jiawei Han, UIUC; Bhavani Thuraisingham, University of Texas at Dallas

Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition
Somayeh Danafar, Istituto Dalle Molle di Studi ; Arthur Gretton, Carnegie Mellon University; Jürgen Schmidhuber, Istituto Dalle Molle di Studi sull'Intelligenza Arti

Learning from Demonstration Using MDP Induced Metrics
Francisco Melo, GAIPS - INESC-ID; Manuel Lopes, University of Plymouth

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval
Zakria Hussain, University College London; Alex Leung, ; Kitsuchart Pasupa, ; David Roi Hardoon, Institute for Infocomm Research, AStar; Peter Auer, ; John Shawe-Taylor, University College London

Hub Gene Selection Methods for the Reconstruction of Transcription Networks

José Miguel Hernández Lobato, Universidad Autónoma de Madrid; Tjeerd Dijkstra,

Using Background Knowledge to Rank Itemsets
Nikolaj Tatti, University of Antwerp; Michael Mampaey, University of Antwerp

Recognition of instrument timbres in real polytimbral audio recordings
Elzbieta Kubera, ; Alicja Wieczorkowska, Polish-Japanese Instit. of IT; Zbigniew Ras, ; Magdalena Skrzypiec, Maria Curie-Sk_odowska University in Lublin

Graphical Multi-Way Models

Ilkka Huopaniemi, Aalto University; Tommi Suvitaival, Aalto University School of Science and Technology, Finland; Matej Oresic, VTT Technical Research Centre of Finland; Samuel Kaski,

Integrating Constraint Programming and Itemset Mining
Siegfried Nijssen, Katholieke Universiteit Leuven; Tias Guns, Katholieke Universiteit Leuven

Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks

Eva Besada-Portas, Universidad Complutense Madrid; Sergey Plis, Mind Research Network; Jesus de la Cruz, Universidad Complutense Madrid (Spain); Terran Lane, University of New Mexico

Learning with Ensemble of Randomized Trees : New Insights
Vincent Pisetta, RITHME; Pierre-Emmanuel Jouve, FENICS; Djamel Zighed, ERIC Laboratory

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
B. Aditya Prakash, Carnegie Mellon University; Hanghang Tong, CMU; Nicholas Valler, University of California - Riverside; Michalis Faloutsos, University of California - Riverside; Christos Faloutsos, Carnegie Mellon University

Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression
Gerben De Vries, University of Amsterdam; Maarten van Someren,

Adverse Drug Reaction Mining in Pharmacovigilance data using Formal Concept Analysis
Jean Villerd, Loria - INRIA Nancy Grand Est; Yanncik Toussaint, Loria - INRIA Nancy Grand Est; Agnès Lillo-Lelouët, Hôpital européen Georges Pompidou

Relation Extraction under Distant Supervision with External Sources

Sebastian Riedel, University of Massatusetts; Limin Yao, University of Massatusetts

NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
Hyungsul Kim, UIUC; Sangkyum Kim, UIUC; Tim Weninger, UIUC; Jiawei Han, UIUC; Tarek Abdelzaher, UIUC

Learning Vector Fields with Spectral Filtering

Lorenzo Rosasco, Mit; luca Baldassarre, DISI; annalisa Barla, DISI; alessando verri, DISI

Proximal Methods for Structured Sparsity Regularization

Lorenzo Rosasco, Mit; sofia mosci, disi; matteo santoro, disi; silvia villa, dima; alessando verri, DISI

Hidden Conditional Ordinal Random Fields for Sequence Classification
Minyoung Kim, Rutgers University; Vladimir Pavlovic, Rutgers University

Conditional Ranking on Relational Data
Tapio Pahikkala, University of Turku; Willem Waegeman, Ghent University; antti Airola, University of Turku; tapio Salakoski, University of Turku; bernard De Baets, Ghent University

Automatic Model Adaptation for Complex Structured Domains
Geoffrey Levine, University of Illinois; Gerald DeJong, University of Illinois; Li-Lun Wang, University of Illinois; Dan Roth, ; Rajhans Samdani, ; Shankar Vembu,

Coniunge et Impera: Multiple-graph mining for Query-log analysis
Ilaria Bordino, Sapienza University of Rome; Debora Donato, ; Ricardo Baeza-Yates, Yahoo! Research

Dimension Reduction and Its Application to Model-based Exploration in Continuous Spaces
Ali Nouri, Rutgers University; Michael Littman, Rutgers University

Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss

Krzysztof Dembczynski, insitution; Willem Waegeman, Ghent University; Weiwei Cheng, University of Marburg; Eyke Hallermeier,

Induction of Concepts in Web Ontologies through Terminological Decision Trees
Nicola Fanizzi, University of Bari; Claudia d' Amato, Institution; Floriana Esposito,

Predicting Partial Orders: Ranking with Abstention
Weiwei Cheng, University of Marburg; Eyke Hallermeier, University of Marburg

A Unifying View of Multiple Kernel Learning
Marius Kloft, UC Berkeley; Ulrich Rückert, UC Berkeley; Peter Bartlett, UC Berkeley

Online Knowledge-Based Support Vector Machines
Gautam Kunapuli, University of Wisconsin-Madison; Amina Shabbeer, Rensselaer Polytechnic Institute; Kristin Bennett, Rensselaer Polytechnic Institute; Richard Maclin, University of Minnesota, Duluth; Jude Shavlik, University of Wisconsin-Madison

Mining Top-k Frequent Itemsets Through Progressive Sampling
Andrea Pietracaprina, Università di Padova; Matteo Riondato, Brown University; Eli Upfal, Brown University; Fabio Vandin, Brown University

Learning an Affine Transformation for Non-linear Dimensionality Reduction
Pooyan Khajehpour Tadavani, University of Waterloo; Ali Ghodsi, Department of Statistics and Actuarial Science, University of Waterloo

Large Scale Support Vector Learning with Structural Kernels
Aliaksei Severyn, University of Trento; Alessandro Moschitti, University of Trento

Fast, Effective Molecular Feature Mining by Local Optimization

Albrecht Zimmermann, ; Bjoern Bringmann, ; Ulrich Rückert, UC Berkeley

Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration

Tobias Jung, University of Texas at Austin; Peter Stone, University of Texas at Austin

A Geometric View of Conjugate Priors
Arvind Agarwal, University of Utah; Hal Daume, University of Utah

Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency

Hirotaka Hachiya, Tokyo Institute of Technology; Masashi Sugiyama,

Incorporating Domain Models into Bayesian Optimization for Reinforcement Learning

Aaron Wilson, Oregon State University ; Alan Fern, ; Prasad Tadepalli,

Predicting labels for dyadic data
Aditya Menon, UCSD; Charles Elkan, UCSD

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation
Feiping Nie, ; Chris Ding, University of Texas at Arlington; Dijun Luo, University of Texas at Arlington; Heng Huang, University of Texas at Arlington

Asking Generalized Queries to Ambiguous Oracle
Jun Du, University of Western Ontario; Charles Ling, University of Western Ontario

Learning Sparse Gaussian Markov Network Structure using a Greedy Coordinate Ascent Approach

Katya Scheinberg, IBM Watson Research Center; Irina Rish, IBM Watson Research Center

Topic Modeling for Personalized Recommendation of Volatile Items

Maksims Ovsjanikovs, Stanford Univeristy; Ye Chen, Microsoft

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