ACML 2016

29 papers

A Bayesian Nonparametric Approach for Multi-Label Classification Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

An Efficient Approach for Multi-Sentence Compression Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen

Bank of Weight Filters for Deep CNNs Suresh Kirthi Kumaraswamy, Ps Sastry, Kalpathi Ramakrishnan

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems Young-Jun Ko, Lucas Maystre, Matthias Grossglauser

Cost Sensitive Online Multiple Kernel Classification Doyen Sahoo, Steven Hoi, Peilin Zhao

Deep Gate Recurrent Neural Network Yuan Gao, Dorota Glowacka

Echo State Hoeffding Tree Learning Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguade, José Herrero

EcoICA: Skewness-Based ICA via Eigenvectors of Cumulant Operator Liyan Song, Haiping Lu

Enhancing Topic Modeling on Short Texts with Crowdsourcing Xiaoyan Yang, Shanshan Ying, Wenzhe Yu, Rong Zhang, Zhenjie Zhang

Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees Sayantan Dasgupta

Geometry-Aware Stationary Subspace Analysis Inbal Horev, Florian Yger, Masashi Sugiyama

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-Relational Social Network Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li

Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model Xianghua Fu, Ting Wang, Jing Li, Chong Yu, Wangwang Liu

Learnability of Non-I.I.D. Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou

Learning Distance Metrics for Multi-Label Classification Henry Gouk, Bernhard Pfahringer, Michael Cree

Learning Feature Aware Metric Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers Stephan Clemencon, Patrice Bertail, Guillaume Papa

Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization Linbo Qiao, Bofeng Zhang, Jinshu Su, Xicheng Lu

Localized Multiple Kernel Learning—A Convex Approach Yunwen Lei, Alexander Binder, Urun Dogan, Marius Kloft

Long Short-Term Memory Network over Rhetorical Structure Theory for Sentence-Level Sentiment Analysis Xianghua Fu, Wangwang Liu, Yingying Xu, Chong Yu, Ting Wang

Modelling Symbolic Music: Beyond the Piano Roll Christian Walder

Multiple Kernel Learning with Data Augmentation Khanh Nguyen, Trung Le, Vu Nguyen, Tu Nguyen, Dinh Phung

Multitask Principal Component Analysis Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama

Non-Linear Smoothed Transductive Network Embedding with Text Information Weizheng Chen, Xia Zhang, Jinpeng Wang, Yan Zhang, Hongfei Yan, Xiaoming Li

Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA Liyan Song, Haiping Lu

Random Fourier Features for Operator-Valued Kernels Romain Brault, Markus Heinonen, Florence Buc

Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi

Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao

Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews Zheng Chen, Yong Zhang, Yue Shang, Xiaohua Hu