Abstract is missing.
- Algorithms for Optimizing the Ratio of Monotone k-Submodular FunctionsHau Chan, Grigorios Loukides, Zhenghui Su. 3-19 [doi]
- Mining Dense Subgraphs with Similar EdgesPolina Rozenshtein, Giulia Preti, Aristides Gionis, Yannis Velegrakis. 20-36 [doi]
- Towards Description of Block Model on GraphZilong Bai, S. S. Ravi, Ian Davidson. 37-53 [doi]
- 1-Regularized OptimizationTianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu. 57-73 [doi]
- Efficiency of Coordinate Descent Methods for Structured Nonconvex OptimizationQi Deng, Chenghao Lan. 74-89 [doi]
- Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region MethodDi Wang, Jinhui Xu. 90-106 [doi]
- To Ensemble or Not Ensemble: When Does End-to-End Training Fail?Andrew M. Webb, Charles Reynolds, Wenlin Chen, Henry W. J. Reeve, Dan-Andrei Iliescu, Mikel Luján, Gavin Brown 0001. 109-123 [doi]
- Learning Gradient Boosted Multi-label Classification RulesMichael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier. 124-140 [doi]
- Landmark-Based Ensemble Learning with Random Fourier Features and Gradient BoostingLéo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban, Valentina Zantedeschi. 141-157 [doi]
- A General Machine Learning Framework for Survival AnalysisAndreas Bender, David Rügamer, Fabian Scheipl, Bernd Bischl. 158-173 [doi]
- Fairness by Explicability and Adversarial SHAP LearningJames M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou. 174-190 [doi]
- End-to-End Learning for Prediction and Optimization with Gradient BoostingTakuya Konishi, Takuro Fukunaga. 191-207 [doi]
- Probabilistic Reconciliation of Hierarchical Forecast via Bayes' RuleGiorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon. 211-226 [doi]
- Quantifying the Confidence of Anomaly Detectors in Their Example-Wise PredictionsLorenzo Perini, Vincent Vercruyssen, Jesse Davis. 227-243 [doi]
- XferNAS: Transfer Neural Architecture SearchMartin Wistuba. 247-262 [doi]
- Finding the Optimal Network Depth in Classification TasksBartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor. 263-278 [doi]
- Topological Insights into Sparse Neural NetworksShiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu. 279-294 [doi]
- GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular OptimizationM. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty. 297-313 [doi]
- Temporal Heterogeneous Interaction Graph Embedding for Next-Item RecommendationYugang Ji, Mingyang Yin, Yuan Fang 0001, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi. 314-329 [doi]
- Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural ConvolutionCheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang. 330-346 [doi]
- DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion PredictionChunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu. 347-363 [doi]
- A Self-attention Network Based Node Embedding ModelDai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung. 364-377 [doi]
- Graph-Revised Convolutional NetworkDonghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang. 378-393 [doi]
- Robust Training of Graph Convolutional Networks via Latent PerturbationHongwei Jin, Xinhua Zhang. 394-411 [doi]
- Enhancing Robustness of Graph Convolutional Networks via Dropping Graph ConnectionsLingwei Chen, Xiaoting Li, Dinghao Wu. 412-428 [doi]
- Automatic Tuning of Stochastic Gradient Descent with Bayesian OptimisationVictor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande. 431-446 [doi]
- MUMBO: MUlti-task Max-Value Bayesian OptimizationHenry B. Moss, David S. Leslie, Paul Rayson. 447-462 [doi]
- Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility ModelsDiederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé. 463-478 [doi]
- Deep Gaussian Processes Using Expectation Propagation and Monte Carlo MethodsGonzalo Hernández-Muñoz, Carlos Villacampa-Calvo, Daniel Hernández-Lobato. 479-494 [doi]
- Companion Guided Soft Margin for Face RecognitionYingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu. 497-514 [doi]
- Soft Labels Transfer with Discriminative Representations Learning for Unsupervised Domain AdaptationManliang Cao, Xiangdong Zhou, Lan Lin. 515-530 [doi]
- Information-Bottleneck Approach to Salient Region DiscoveryAndrey Zhmoginov, Ian Fischer, Mark Sandler 0002. 531-546 [doi]
- FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) SystemsLu Chen, Jiao Sun, Wei Xu. 547-563 [doi]
- Less Is More: Rejecting Unreliable Reviews for Product Question AnsweringShiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris. 567-583 [doi]
- AMQAN: Adaptive Multi-Attention Question-Answer Networks for Answer SelectionHaitian Yang, Weiqing Huang, Xuan Zhao, Yan Wang, Yuyan Chen, Bin Lv, Rui Mao, Ning Li. 584-599 [doi]
- Inductive Document Representation Learning for Short Text ClusteringJunyang Chen, Zhiguo Gong, Wei Wang 0077, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen. 600-616 [doi]
- FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-GramsWanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang 0014, Jingbo Shang, Suma Bhat, Jiawei Han 0001. 617-632 [doi]
- Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment AnalysisLingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu. 633-649 [doi]
- Early Detection of Fake News with Multi-source Weak Social SupervisionKai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, Huan Liu 0001. 650-666 [doi]
- Generating Financial Reports from Macro News via Multiple Edits Neural NetworksWenxin Hu, Xiaofeng Zhang, Yunpeng Ren. 667-682 [doi]
- Continual Learning with Knowledge Transfer for Sentiment ClassificationZixuan Ke, Bing Liu, Hao Wang, Lei Shu. 683-698 [doi]
- Predictive Bi-clustering Trees for Hierarchical Multi-label ClassificationBruna Zamith Santos, Felipe Kenji Nakano, Ricardo Cerri, Celine Vens. 701-718 [doi]
- Self-attention Enhanced Patient Journey Understanding in Healthcare SystemXueping Peng, Guodong Long, Tao Shen, Sen Wang 0001, Jing Jiang 0002. 719-735 [doi]
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery ClassificationZiyu Jia, Youfang Lin, Jing Wang, Kaixin Yang, Tianhang Liu, Xinwang Zhang. 736-751 [doi]