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• TransConv: Relationship Embedding in Social Networks

  Yi-Yu Lai, Jennifer Neville, Dan Goldwasser

  4130-4138

  2019-07-17

• Accurate and Interpretable Factorization Machines

  Liang Lan, Yu Geng

  4139-4146

  2019-07-17

• Gradient-Based Inference for Networks with Output Constraints

  Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell

  4147-4154

  2019-07-17

• Understanding Learned Models by Identifying Important Features at the Right Resolution

  Kyubin Lee, Akshay Sood, Mark Craven

  4155-4163

  2019-07-17

• Structural Causal Bandits with Non-Manipulable Variables

  Sanghack Lee, Elias Bareinboim

  4164-4172

  2019-07-17

• Lifted Proximal Operator Machines

  Jia Li, Cong Fang, Zhouchen Lin

  4181-4188

  2019-07-17

• From Zero-Shot Learning to Cold-Start Recommendation

  Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

  4189-4196

  2019-07-17

• X-DMM: Fast and Scalable Model Based Text Clustering

  Linwei Li, Liangchen Guo, Zhenying He, Yinan Jing, X. Sean Wang

  4197-4204

  2019-07-17

• Sign-Full Random Projections

  Ping Li

  4205-4212

  2019-07-17

• Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient

  Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

  4213-4220

  2019-07-17

• Spectral Clustering in Heterogeneous Information Networks

  Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin

  4221-4228

  2019-07-17

• Learning Adaptive Random Features

  Yanjun Li, Kai Zhang, Jun Wang, Sanjiv Kumar

  4229-4236

  2019-07-17

• Towards Automated Semi-Supervised Learning

  Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu

  4237-4244

  2019-07-17

• Learning Disentangled Representation with Pairwise Independence

  Zejian Li, Yongchuan Tang, Wei Li, Yongxing He

  4245-4252

  2019-07-17

• Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification

  Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

  4253-4260

  2019-07-17

• SepNE: Bringing Separability to Network Embedding

  Ziyao Li, Liang Zhang, Guojie Song

  4261-4268

  2019-07-17

• Collaborative, Dynamic and Diversified User Profiling

  Shangsong Liang

  4269-4276

  2019-07-17

• Learning Logistic Circuits

  Yitao Liang, Guy Van den Broeck

  4277-4286

  2019-07-17

• CircConv: A Structured Convolution with Low Complexity

  Siyu Liao, Bo Yuan

  4287-4294

  2019-07-17

• Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis

  Rung-Tzuo Liaw, Chuan-Kang Ting

  4295-4303

  2019-07-17

• Non-Compensatory Psychological Models for Recommender Systems

  Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao

  4304-4311

  2019-07-17

• Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee

  Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin

  4312-4319

  2019-07-17

• MFPCA: Multiscale Functional Principal Component Analysis

  Zhenhua Lin, Hongtu Zhu

  4320-4327

  2019-07-17

• Learning Plackett-Luce Mixtures from Partial Preferences

  Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia

  4328-4335

  2019-07-17

• Near-Neighbor Methods in Random Preference Completion

  Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

  4336-4343

  2019-07-17