Table of Contents

• adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNsNitish Shirish Keskar, Albert S. Berahas. 1-16 [doi]
• Semi-supervised Tensor Factorization for Brain Network AnalysisBokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow. 17-32 [doi]
• Scalable Hyperparameter Optimization with Products of Gaussian Process ExpertsNicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme. 33-48 [doi]
• Incremental Commute Time Using Random Walks and Online Anomaly DetectionNguyen Lu Dang Khoa, Sanjay Chawla. 49-64 [doi]
• Online Density Estimation of Heterogeneous Data Streams in Higher DimensionsMichael Geilke, Andreas Karwath, Stefan Kramer 0001. 65-80 [doi]
• Graphical Model SketchBranislav Kveton, Hung Hai Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun. 81-97 [doi]
• Laplacian Hamiltonian Monte CarloYizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin. 98-114 [doi]
• Functional Bid Landscape Forecasting for Display AdvertisingYuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu. 115-131 [doi]
• Maximizing Time-Decaying Influence in Social NetworksNaoto Ohsaka, Yutaro Yamaguchi, Naonori Kakimura, Ken-ichi Kawarabayashi. 132-147 [doi]
• Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic ModellingChangying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long. 148-164 [doi]
• Efficient Bayesian Maximum Margin Multiple Kernel LearningChangying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li. 165-181 [doi]
• Transactional Tree MiningMostafa Haghir Chehreghani, Morteza Haghir Chehreghani. 182-198 [doi]
• Two-Stage Transfer Surrogate Model for Automatic Hyperparameter OptimizationMartin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme. 199-214 [doi]
• Gaussian Process Pseudo-Likelihood Models for Sequence LabelingP. K. Srijith, Balamurugan P., Shirish Krishnaj Shevade. 215-231 [doi]
• \mathtt OSLα : Online Structure Learning Using Background Knowledge AxiomatizationEvangelos Michelioudakis, Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis. 232-247 [doi]
• Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically OversamplingColin Bellinger, Christopher Drummond, Nathalie Japkowicz. 248-263 [doi]
• M-Zoom: Fast Dense-Block Detection in Tensors with Quality GuaranteesKijung Shin, Bryan Hooi, Christos Faloutsos. 264-280 [doi]
• Uncovering Locally Discriminative Structure for Feature AnalysisSen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao. 281-295 [doi]
• Multi-Objective Group Discovery on the Social WebBehrooz Omidvar Tehrani, Sihem Amer-Yahia, Pierre-François Dutot, Denis Trystram. 296-312 [doi]
• Sequential Data Classification in the Space of Liquid State MachinesYang Li, Junyuan Hong, Huanhuan Chen. 313-328 [doi]
• Semigeometric Tiling of Event SequencesAndreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki. 329-344 [doi]
• Attribute Conjunction Learning with Recurrent Neural NetworkKongming Liang, Hong Chang, Shiguang Shan, Xilin Chen. 345-360 [doi]
• Efficient Discovery of Sets of Co-occurring Items in Event SequencesBoris Cule, Len Feremans, Bart Goethals. 361-377 [doi]
• Collaborative Expert Recommendation for Community-Based Question AnsweringCongfu Xu, Xin Wang, Yunhui Guo. 378-393 [doi]
• Link Prediction in Dynamic Networks Using GraphletMahmudur Rahman, Mohammad Al Hasan. 394-409 [doi]
• CHADE: Metalearning with Classifier Chains for Dynamic Combination of ClassifiersFábio Pinto, Carlos Soares, João Mendes-Moreira. 410-425 [doi]
• Aggregating Crowdsourced Ordinal Labels via Bayesian ClusteringXiawei Guo, James T. Kwok. 426-442 [doi]
• Joint Learning of Entity Semantics and Relation Pattern for Relation ExtractionSuncong Zheng, Jiaming Xu, Hongyun Bao, Zhenyu Qi, Jie Zhang, Hongwei Hao, Bo Xu. 443-458 [doi]
• BASS: A Bootstrapping Approach for Aligning Heterogenous Social NetworksXuezhi Cao, Yong Yu. 459-475 [doi]
• Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain NetworksGuixiang Ma, LiFang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin. 476-492 [doi]
• Interactive Learning from Multiple Noisy LabelsShankar Vembu, Sandra Zilles. 493-508 [doi]
• An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes PriorYongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung. 509-523 [doi]
• Structure Pattern Analysis and Cascade Prediction in Social NetworksBolei Zhang, Zhuzhong Qian, Sanglu Lu. 524-539 [doi]
• Graph-Margin Based Multi-label Feature SelectionPeng Yan, Yun Li. 540-555 [doi]
• Pure Exploration for Max-Quantile BanditsYahel David, Nahum Shimkin. 556-571 [doi]
• A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic DataDhouha Grissa, Blandine Comte, Estelle Pujos-Guillot, Amedeo Napoli. 572-587 [doi]
• Native Advertisement Selection and Allocation in Social Media Post FeedsIordanis Koutsopoulos, Panagiotis Spentzouris. 588-603 [doi]
• Asynchronous Feature Extraction for Large-Scale Linear PredictorsShin Matsushima. 604-618 [doi]
• F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label SubsetsMaxime Gasse, Alex Aussem. 619-631 [doi]
• Cost-Aware Early Classification of Time SeriesRomain Tavenard, Simon Malinowski. 632-647 [doi]
• The Matrix Generalized Inverse Gaussian Distribution: Properties and ApplicationsFarideh Fazayeli, Arindam Banerjee. 648-664 [doi]
• On the Convergence of a Family of Robust Losses for Stochastic Gradient DescentBo Han, Ivor W. Tsang, Ling Chen. 665-680 [doi]
• Composite Denoising AutoencodersKrzysztof J. Geras, Charles A. Sutton. 681-696 [doi]
• Trust Hole Identification in Signed NetworksJiawei Zhang, Qianyi Zhan, LiFang He, Charu C. Aggarwal, Philip S. Yu. 697-713 [doi]
• Huber-Norm Regularization for Linear Prediction ModelsOleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft. 714-730 [doi]
• Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature SpaceSuyash P. Awate, Nishanth N. Koushik. 731-748 [doi]
• Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang. 749-760 [doi]
• Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal RecoveryDipan K. Pal, Ole J. Mengshoel. 761-776 [doi]
• Deep Metric Learning with Data SummarizationWenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin. 777-794 [doi]
• Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz ConditionHamed Karimi, Julie Nutini, Mark W. Schmidt. 795-811 [doi]