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• Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees

  Pooya Tavallali, Peyman Tavallali, Mukesh Singhal

  5133-5142

  2019-07-17

• Holographic Factorization Machines for Recommendation

  Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh

  5143-5150

  2019-07-17

• Clipped Matrix Completion: A Remedy for Ceiling Effects

  Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama

  5151-5158

  2019-07-17

• A Non–Convex Optimization Approach to Correlation Clustering

  Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi

  5159-5166

  2019-07-17

• Learning Competitive and Discriminative Reconstructions for Anomaly Detection

  Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan

  5167-5174

  2019-07-17

• Natural Option Critic

  Saket Tiwari, Philip S. Thomas

  5175-5182

  2019-07-17

• Learning Triggers for Heterogeneous Treatment Effects

  Christopher Tran, Elena Zheleva

  5183-5190

  2019-07-17

• Improving GAN with Neighbors Embedding and Gradient Matching

  Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung

  5191-5198

  2019-07-17

• Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data

  Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li

  5199-5206

  2019-07-17

• Robust Anomaly Detection in Videos Using Multilevel Representations

  Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung

  5216-5223

  2019-07-17

• CAMO: A Collaborative Ranking Method for Content Based Recommendation

  Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen

  5224-5231

  2019-07-17

• Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

  Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang

  5232-5239

  2019-07-17

• Bounding Uncertainty for Active Batch Selection

  Hanmo Wang, Runwu Zhou, Yi-Dong Shen

  5240-5247

  2019-07-17

• Adversarial Binary Collaborative Filtering for Implicit Feedback

  Haoyu Wang, Nan Shao, Defu Lian

  5248-5255

  2019-07-17

• Theoretical Analysis of Label Distribution Learning

  Jing Wang, Xin Geng

  5256-5263

  2019-07-17

• Orderly Subspace Clustering

  Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi

  5264-5272

  2019-07-17

• SVM-Based Deep Stacking Networks

  Jingyuan Wang, Kai Feng, Junjie Wu

  5273-5280

  2019-07-17

• An Efficient Approach to Informative Feature Extraction from Multimodal Data

  Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

  5281-5288

  2019-07-17

• Scalable Distributed DL Training: Batching Communication and Computation

  Shaoqi Wang, Aidi Pi, Xiaobo Zhou

  5289-5296

  2019-07-17

• HyperAdam: A Learnable Task-Adaptive Adam for Network Training

  Shipeng Wang, Jian Sun, Zongben Xu

  5297-5304

  2019-07-17

• Learning Compact Model for Large-Scale Multi-Label Data

  Tong Wei, Yu-Feng Li

  5385-5392

  2019-07-17

• Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering

  Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

  5393-5400

  2019-07-17

• Exploiting Local Feature Patterns for Unsupervised Domain Adaptation

  Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan

  5401-5408

  2019-07-17

• RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

  Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu

  5409-5416

  2019-07-17

• Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation

  Florian Wenzel, Théo Galy-Fajou, Christan Donner, Marius Kloft, Manfred Opper

  5417-5424

  2019-07-17