Panel
How We Can/Should Handle the Offline vs. Online Data Gap?
Panelists:
Rakesh Agrawal (Data Insights Laboratories, USA),
Ricardo Baeza-Yates (NTENT, USA & UPF, Spain),
Tina Eliassi-Rad (Northeastern Univ., USA),
Katherina Morik (TU Dortmund, Germany), and
Nuria Oliver (DataPop Alliance, Spain)
Moderator: Arno Siebes (Utrecht University, The Netherlands)
Panelists:
Rakesh Agrawal (Data Insights Laboratories, USA),
Ricardo Baeza-Yates (NTENT, USA & UPF, Spain),
Tina Eliassi-Rad (Northeastern Univ., USA),
Katherina Morik (TU Dortmund, Germany), and
Nuria Oliver (DataPop Alliance, Spain)
Moderator: Arno Siebes (Utrecht University, The Netherlands)
Session C8: Semi-supervised and Active Learning
Session Chair: Min-Ling Zhang (Southeast University, China)
REGULAR PAPERS:
DM500 "Adaptive Neighborhood Propagation by Joint L2,1-norm Regularized Sparse Coding for Representation and Classification"
Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, and Mingbo Zhao
DM856 "An Augmented LSTM Framework to Construct Medical Self-diagnosis Android"
Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, and Chenwei Zhang
SHORT PAPERS:
DM446 "Semi-Supervised Multi-Label Dimensionality Reduction"
Baolin Guo, Chenping Hou, Feiping Nie, and Dongyun Yi
DM471 "Reliable Semi-supervised Learning"
Junming Shao, Chen Huang, Qinli Yang, and Guangchun Luo
DM601 "A Semi-supervised AUC Optimization Method with Generative Models"
Akinori Fujino and Naonori Ueda
DM725 "A Novel Uncertainty Sampling Algorithm for Cost-sensitive Multiclass Active Learning"
Kuan-Hao Huang and Hsuan-Tien Lin
DM748 "Can Active Learning Experience Be Transferred?"
Hong-Min Chu and Hsuan-Tien Lin
DM893 "Incorporating Expert Feedback into Active Anomaly Discovery"
Shubhomoy Das, Weng-Keen Wong, Thomas Dietterich, Alan Fern, and Andrew Emmott
DM500 "Adaptive Neighborhood Propagation by Joint L2,1-norm Regularized Sparse Coding for Representation and Classification"
Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, and Mingbo Zhao
DM856 "An Augmented LSTM Framework to Construct Medical Self-diagnosis Android"
Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, and Chenwei Zhang
SHORT PAPERS:
DM446 "Semi-Supervised Multi-Label Dimensionality Reduction"
Baolin Guo, Chenping Hou, Feiping Nie, and Dongyun Yi
DM471 "Reliable Semi-supervised Learning"
Junming Shao, Chen Huang, Qinli Yang, and Guangchun Luo
DM601 "A Semi-supervised AUC Optimization Method with Generative Models"
Akinori Fujino and Naonori Ueda
DM725 "A Novel Uncertainty Sampling Algorithm for Cost-sensitive Multiclass Active Learning"
Kuan-Hao Huang and Hsuan-Tien Lin
DM748 "Can Active Learning Experience Be Transferred?"
Hong-Min Chu and Hsuan-Tien Lin
DM893 "Incorporating Expert Feedback into Active Anomaly Discovery"
Shubhomoy Das, Weng-Keen Wong, Thomas Dietterich, Alan Fern, and Andrew Emmott
Session B8: Streaming
Session Chair: Albert Bifet (Télécom ParisTech, France)
REGULAR PAPERS:
DM418 "KNN classifier with self adjusting memory for heterogeneous concept drift"
Viktor Losing, Barbara Hammer, and Heiko Wersing
DM706 "Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference"
Liu Chunchen, Feng Lu, and Ryohei Fujimaki
DM727 "ConTrack: A Scalable Method For Tracking Multiple Concepts In Large Scale Multidimensional Data"
Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, and Gao Cong
SHORT PAPERS:
DM602 "ROM: A Robust Online Multi-Task Learning Approach"
CHI ZHANG, PEILIN ZHAO, Shuji Hao, YENG CHAI SOH, and BU SUNG LEE
DM676 "Multi-Label Learning with Emerging New Labels"
Yue Zhu, Kai-Ming Ting, and Zhi-Hua Zhou
DM243 "EXTRACT: Strong Examples from Weakly-Labeled Sensor Data"
Davis Blalock and John Guttag
DM456 "Spell: Streaming Parsing of System Event Logs"
Min Du and Feifei Li
REGULAR PAPERS:
DM418 "KNN classifier with self adjusting memory for heterogeneous concept drift"
Viktor Losing, Barbara Hammer, and Heiko Wersing
DM706 "Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference"
Liu Chunchen, Feng Lu, and Ryohei Fujimaki
DM727 "ConTrack: A Scalable Method For Tracking Multiple Concepts In Large Scale Multidimensional Data"
Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, and Gao Cong
SHORT PAPERS:
DM602 "ROM: A Robust Online Multi-Task Learning Approach"
CHI ZHANG, PEILIN ZHAO, Shuji Hao, YENG CHAI SOH, and BU SUNG LEE
DM676 "Multi-Label Learning with Emerging New Labels"
Yue Zhu, Kai-Ming Ting, and Zhi-Hua Zhou
DM243 "EXTRACT: Strong Examples from Weakly-Labeled Sensor Data"
Davis Blalock and John Guttag
DM456 "Spell: Streaming Parsing of System Event Logs"
Min Du and Feifei Li
Session A8: Social
Session Chair: Neil Shah (CMU, USA)
REGULAR PAPERS:
DM505 "Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites"
Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., and Christos Faloutsos
DM661 "Homophily, Structure, and Content Augmented Network Representation Learning"
Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang
DM805 "TO BE OR NOT TO BE FRIENDS: Exploiting Social Ties for Venture Investments"
Hao Zhong, Chuanren Liu, Xinjiang Lu, and Hui Xiong
SHORT PAPERS:
DM287 "Steering Social Media Promotions with Effective Strategies"
Kun Kuang, Meng Jiang, Peng Cui, and Shiqiang Yang
DM464 "HLGPS: A Home Location Global Positioning System in Location-Based Social Networks"
Yulong Gu, Jiaxing Song, Weidong Liu, and Lixin Zou
DM666 "A combinatorial approach to role discovery"
Albert Arockiasamy, Aristides Gionis, and Nikolaj Tatti
DM995 "HNP3: A Hierarchical Nonparametric Point Process for modeling Content Diffusion Over Social Media"
SeyedAbbas Hosseini, Ali Khodadadi, Ali Arabzadeh, and Hamid R. Rabiee
REGULAR PAPERS:
DM505 "Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites"
Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., and Christos Faloutsos
DM661 "Homophily, Structure, and Content Augmented Network Representation Learning"
Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang
DM805 "TO BE OR NOT TO BE FRIENDS: Exploiting Social Ties for Venture Investments"
Hao Zhong, Chuanren Liu, Xinjiang Lu, and Hui Xiong
SHORT PAPERS:
DM287 "Steering Social Media Promotions with Effective Strategies"
Kun Kuang, Meng Jiang, Peng Cui, and Shiqiang Yang
DM464 "HLGPS: A Home Location Global Positioning System in Location-Based Social Networks"
Yulong Gu, Jiaxing Song, Weidong Liu, and Lixin Zou
DM666 "A combinatorial approach to role discovery"
Albert Arockiasamy, Aristides Gionis, and Nikolaj Tatti
DM995 "HNP3: A Hierarchical Nonparametric Point Process for modeling Content Diffusion Over Social Media"
SeyedAbbas Hosseini, Ali Khodadadi, Ali Arabzadeh, and Hamid R. Rabiee
Session C7: Supervised Learning 2
Session Chair: Ricard Gavalda (UPC, Spain)
REGULAR PAPERS:
DM966 "Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models"
Mahdi Pakdaman Naeini and Gregory Cooper
DM1024 "Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent"
Huan Zhang and Cho-Jui Hsieh
SHORT PAPERS:
DM347 "Learning Task Relational Structure for Multi-Task Feature Learning"
De Wang, Feiping Nie, and Heng Huang
DM562 "Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization"
Shifeng Zhang, Jianmin Li, Jinma Guo, and Bo Zhang
DM691 "Budgeted Batch Bayesian Optimization"
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh
DM694 "Faster Kernels for Graphs with Continuous Attributes via Hashing"
Christopher Morris, Nils M. Kriege, Kristian Kersting, and Petra Mutzel
DM922 "Efficient Sampling-Based Kernel Mean Matching"
Swarup Chandra, Ahsanul Haque, Latifur Khan, and Charu Aggarwal
DM1117 "Sublinear Dual Coordinate Ascent for Regularized Loss Minimization"
liu liu and Dacheng Tao
REGULAR PAPERS:
DM966 "Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models"
Mahdi Pakdaman Naeini and Gregory Cooper
DM1024 "Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent"
Huan Zhang and Cho-Jui Hsieh
SHORT PAPERS:
DM347 "Learning Task Relational Structure for Multi-Task Feature Learning"
De Wang, Feiping Nie, and Heng Huang
DM562 "Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization"
Shifeng Zhang, Jianmin Li, Jinma Guo, and Bo Zhang
DM691 "Budgeted Batch Bayesian Optimization"
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh
DM694 "Faster Kernels for Graphs with Continuous Attributes via Hashing"
Christopher Morris, Nils M. Kriege, Kristian Kersting, and Petra Mutzel
DM922 "Efficient Sampling-Based Kernel Mean Matching"
Swarup Chandra, Ahsanul Haque, Latifur Khan, and Charu Aggarwal
DM1117 "Sublinear Dual Coordinate Ascent for Regularized Loss Minimization"
liu liu and Dacheng Tao
Session B7: Distributed and High Performance Computing
Session Chair: Alexandre Termier (University of Rennes, France)
REGULAR PAPERS:
DM453 "Partition Aware Connected Component Computation in Distributed Systems"
Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang
DM886 "Efficient Distributed SGD with Variance Reduction"
Soham De and Thomas Goldstein
DM931 "HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent"
Huan Zhang, Cho-Jui Hsieh, and Venkatesh Akella
SHORT PAPERS:
DM1066 "Spectrum-Revealing Cholesky Factorization for Kernel Methods"
Jianwei Xiao and Ming Gu
DM421 "Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis"
Xiao Fu, Kejun Huang, Evangelos Papalexakis, Hyun Ah Song, Partha Talukdar, Nicholas Sidiropoulos, Christos Faloutsos, and Tom Mitchell
DM703 "One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems"
Vu Nguyen, Tu Dinh Nguyen, Trung Le, Dinh Phung, and Svetha Venkatesh
DM708 "A Fast Distributed Classification Algorithm for Large-scale Imbalanced Data"
Huihui Wang, Yang Gao, Yinghuan Shi, and Hao Wang
REGULAR PAPERS:
DM453 "Partition Aware Connected Component Computation in Distributed Systems"
Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang
DM886 "Efficient Distributed SGD with Variance Reduction"
Soham De and Thomas Goldstein
DM931 "HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent"
Huan Zhang, Cho-Jui Hsieh, and Venkatesh Akella
SHORT PAPERS:
DM1066 "Spectrum-Revealing Cholesky Factorization for Kernel Methods"
Jianwei Xiao and Ming Gu
DM421 "Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis"
Xiao Fu, Kejun Huang, Evangelos Papalexakis, Hyun Ah Song, Partha Talukdar, Nicholas Sidiropoulos, Christos Faloutsos, and Tom Mitchell
DM703 "One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems"
Vu Nguyen, Tu Dinh Nguyen, Trung Le, Dinh Phung, and Svetha Venkatesh
DM708 "A Fast Distributed Classification Algorithm for Large-scale Imbalanced Data"
Huihui Wang, Yang Gao, Yinghuan Shi, and Hao Wang
Session A7: Graphs 2
Session Chair: Esther Galbrun (INRIA, France)
REGULAR PAPERS:
DM422 "On Dense Subgraphs in Signed Network Streams"
Jose Cadena, Anil Vullikanti, and Charu Aggarwal
DM1059 "Graph-Structured Sparse Optimization for Connected Subgraph Detection"
Baojian Zhou and Feng Chen
DM762 "Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques"
Saskia Metzler, Stephan Günnemann, and Pauli Miettinen
SHORT PAPERS:
DM223 "Efficient and scalable detection of overlapping communities in big networks"
Tianshu Lyu, Lidong Bing, Zhao Zhang, and Yan Zhang
DM593 "Mining Summaries for Knowledge Graph Search"
Qi Song, Yinghui Wu and Xin Luna Dong
DM490 "MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length"
Sebastian Goebl, Annika Tonch, Christian Böhm, and Claudia Plant
DM1028 "Learning from your network of friends: a trajectory representation learning model based on online social ties"
Basma Alharbi and Xiangliang Zhang
REGULAR PAPERS:
DM422 "On Dense Subgraphs in Signed Network Streams"
Jose Cadena, Anil Vullikanti, and Charu Aggarwal
DM1059 "Graph-Structured Sparse Optimization for Connected Subgraph Detection"
Baojian Zhou and Feng Chen
DM762 "Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques"
Saskia Metzler, Stephan Günnemann, and Pauli Miettinen
SHORT PAPERS:
DM223 "Efficient and scalable detection of overlapping communities in big networks"
Tianshu Lyu, Lidong Bing, Zhao Zhang, and Yan Zhang
DM593 "Mining Summaries for Knowledge Graph Search"
Qi Song, Yinghui Wu and Xin Luna Dong
DM490 "MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length"
Sebastian Goebl, Annika Tonch, Christian Böhm, and Claudia Plant
DM1028 "Learning from your network of friends: a trajectory representation learning model based on online social ties"
Basma Alharbi and Xiangliang Zhang