ACML 2016

29 papers

EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator

Liyan Song, Haiping Lu

Geometry-aware stationary subspace analysis

Inbal Horev, Florian Yger, Masashi Sugiyama

An Efficient Approach for Multi-Sentence Compression

Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen

Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA

Liyan Song, Haiping Lu

Echo State Hoeffding Tree Learning

Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguade

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Young-Jun Ko, Lucas Maystre, Matthias Grossglauser

Deep Gate Recurrent Neural Network

Yuan Gao, Dorota Glowacka

Bank of Weight Filters for Deep CNNs

Suresh Kirthi Kumaraswamy, PS Sastry, Kalpathi Ramakrishnan

Learning Distance Metrics for Multi-Label Classification

Henry Gouk, Bernhard Pfahringer, Michael Cree

Multitask Principal Component Analysis

Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama

Learning Feature Aware Metric

Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network

Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li

A Bayesian Nonparametric Approach for Multi-label Classification

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

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

Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees

Sayantan Dasgupta

Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model

Xianghua Fu, Ting Wang, Jing Li, Chong Yu, Wangwang Liu

Modelling Symbolic Music: Beyond the Piano Roll

Christian Walder

Learnability of Non-I.I.D.

Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou

Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers

Stéphan Clémençon, Patrice Bertail, Guillaume Papa

Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization

Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi

Random Fourier Features For Operator-Valued Kernels

Romain Brault, Markus Heinonen, Florence Buc

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

Cost Sensitive Online Multiple Kernel Classification

Doyen Sahoo, Steven Hoi, Peilin Zhao

Multiple Kernel Learning with Data Augmentation

Khanh Nguyen, Trung Le, Vu Nguyen, Tu Nguyen, Dinh Phung

Enhancing Topic Modeling on Short Texts with Crowdsourcing

Xiaoyan Yang, Shanshan Ying, Wenzhe Yu, Rong Zhang, Zhenjie Zhang

Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis

Xianghua Fu, Wangwang Liu, Yingying Xu, Chong Yu, Ting Wang

Non-Linear Smoothed Transductive Network Embedding with Text Information

Weizheng Chen, Xia Zhang, Jinpeng Wang, Yan Zhang, Hongfei Yan