Abstract is missing.
- Do Simpler Models Exist and How Can We Find Them?Cynthia Rudin. 1-2 [doi]
- The Unreasonable Effectiveness, and Difficulty, of Data in HealthcarePeter Lee. 3-4 [doi]
- A Free Energy Based Approach for Distance Metric LearningSho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam. 5-13 [doi]
- A Hierarchical Career-Path-Aware Neural Network for Job Mobility PredictionQingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong. 14-24 [doi]
- A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming SetsPinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan. 25-33 [doi]
- A Minimax Game for Instance based Selective Transfer LearningBo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou. 34-43 [doi]
- A Multiscale Scan Statistic for Adaptive Submatrix LocalizationYuchao Liu, Ery Arias-Castro. 44-53 [doi]
- A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital HealthElias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara Mangravite, Larsson Omberg. 54-64 [doi]
- A Representation Learning Framework for Property GraphsYifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang. 65-73 [doi]
- Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and SustainabilityYang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang 0001. 74-82 [doi]
- Adaptive Graph Guided Disambiguation for Partial Label LearningDeng-Bao Wang, Li Li, Min-Ling Zhang. 83-91 [doi]
- Adaptive Unsupervised Feature Selection on Attributed NetworksJundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu 0001. 92-100 [doi]
- Adaptive-Halting Policy Network for Early ClassificationThomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner. 101-110 [doi]
- ADMM for Efficient Deep Learning with Global ConvergenceJunxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao. 111-119 [doi]
- Adversarial Learning on Heterogeneous Information NetworksBinbin Hu, Yuan Fang, Chuan Shi. 120-129 [doi]
- Adversarial Substructured Representation Learning for Mobile User ProfilingPengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li. 130-138 [doi]
- Adversarial Variational Embedding for Robust Semi-supervised LearningXiang Zhang, Lina Yao, Feng Yuan. 139-147 [doi]
- Adversarially Robust Submodular Maximization under Knapsack ConstraintsDmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou. 148-156 [doi]
- An Visual Dialog Augmented Interactive Recommender SystemTong Yu, Yilin Shen, Hongxia Jin. 157-165 [doi]
- Assessing The Factual Accuracy of Generated TextBen Goodrich, Vinay Rao, Peter J. Liu, Mohammad Saleh. 166-175 [doi]
- AtSNE: Efficient and Robust Visualization on GPU through Hierarchical OptimizationCong Fu, Yonghui Zhang, Deng Cai, Xiang Ren. 176-186 [doi]
- Attribute-Driven Backbone DiscoverySheng Guan, Hanchao Ma, Yinghui Wu. 187-195 [doi]
- Auditing Data Provenance in Text-Generation ModelsCongzheng Song, Vitaly Shmatikov. 196-206 [doi]
- Automating Feature Subspace Exploration via Multi-Agent Reinforcement LearningKunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li. 207-215 [doi]
- AutoNE: Hyperparameter Optimization for Massive Network EmbeddingKe Tu, Jianxin Ma, Peng Cui 0001, Jian Pei, Wenwu Zhu 0001. 216-225 [doi]
- Axiomatic Interpretability for Multiclass Additive ModelsXuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana. 226-234 [doi]
- Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer SatisfactionWenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang 0001. 235-245 [doi]
- Certifiable Robustness and Robust Training for Graph Convolutional NetworksDaniel Zügner, Stephan Günnemann. 246-256 [doi]
- Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksWei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh. 257-266 [doi]
- Clustering without Over-RepresentationSara Ahmadian, Alessandro Epasto, Ravi Kumar 0001, Mohammad Mahdian. 267-275 [doi]
- Conditional Random Field Enhanced Graph Convolutional Neural NetworksHongchang Gao, Jian Pei, Heng Huang. 276-284 [doi]
- Contextual Fact Ranking and Its Applications in Table Synthesis and CompressionSilu Huang, Jialu Liu, Flip Korn, Xuezhi Wang 0002, You Wu 0001, Dale Markowitz, Cong Yu 0001. 285-293 [doi]
- Contrastive Antichains in HierarchiesAnes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie. 294-304 [doi]
- Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural NetworkJunchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong. 305-313 [doi]
- Coresets for Minimum Enclosing Balls over Sliding WindowsYanhao Wang, Yuchen Li, Kian-Lee Tan. 314-323 [doi]
- CoSTCo: A Neural Tensor Completion Model for Sparse TensorsHanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu. 324-334 [doi]
- Coupled Variational Recurrent Collaborative FilteringQingquan Song, Shiyu Chang, Xia Hu. 335-343 [doi]
- DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item RecommendationDonghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao. 344-352 [doi]
- Deep Anomaly Detection with Deviation NetworksGuansong Pang, Chunhua Shen, Anton van den Hengel. 353-362 [doi]
- Deep Landscape Forecasting for Real-time Bidding AdvertisingKan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang 0001, Yong Yu 0001. 363-372 [doi]
- Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual InformationMaya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka 0002, Hiroyuki Toda, Naonori Ueda. 373-383 [doi]
- DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction TasksGuolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu. 384-394 [doi]
- dEFEND: Explainable Fake News DetectionKai Shu, Limeng Cui, Suhang Wang, Dongwon Lee 0001, Huan Liu. 395-405 [doi]
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationJun Wu, Jingrui He, JieJun Xu. 406-415 [doi]
- Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality ReductionJing-Han Wu, Min-Ling Zhang. 416-424 [doi]
- Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box ModelsMichael Doron, Idan Segev, Dafna Shahaf. 425-435 [doi]
- Dual Averaging Method for Online Graph-structured SparsityBaojian Zhou, Feng Chen 0001, Yiming Ying. 436-446 [doi]
- Dual Sequential Prediction Models Linking Sequential Recommendation and Information DisseminationQitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen. 447-457 [doi]
- Dynamic Modeling and Forecasting of Time-evolving Data StreamsYasuko Matsubara, Yasushi Sakurai. 458-468 [doi]
- Dynamical Origins of Distribution FunctionsChengxi Zang, Peng Cui, Wenwu Zhu 0001, Fei Wang. 469-478 [doi]
- EdMot: An Edge Enhancement Approach for Motif-aware Community DetectionPei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai. 479-487 [doi]
- Effective and Efficient Reuse of Past Travel Behavior for Route RecommendationLisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao 0002, Zhiwei Zhang, Ling Shao 0001. 488-498 [doi]
- Effective and Efficient Sports Play Retrieval with Deep Representation LearningZheng Wang, Cheng Long, Gao Cong, Ce Ju. 499-509 [doi]
- Efficient and Effective Express via Contextual Cooperative Reinforcement LearningYexin Li, Yu Zheng, Qiang Yang. 510-519 [doi]
- Efficient Global String Kernel with Random Features: Beyond Counting SubstructuresLingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma 0002, Shouling Ji, Charu C. Aggarwal. 520-528 [doi]
- Efficient Maximum Clique Computation over Large Sparse GraphsLijun Chang. 529-538 [doi]
- Empowering A* Search Algorithms with Neural Networks for Personalized Route RecommendationJingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin. 539-547 [doi]
- Enhancing Collaborative Filtering with Generative AugmentationQinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, LiZhen Cui. 548-556 [doi]
- Enhancing Domain Word Embedding via Latent Semantic ImputationShibo Yao, Dantong Yu, Keli Xiao. 557-565 [doi]
- Environment Reconstruction with Hidden Confounders for Reinforcement Learning based RecommendationWenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye. 566-576 [doi]
- EpiDeep: Exploiting Embeddings for Epidemic ForecastingBijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash. 577-586 [doi]
- Estimating Graphlet Statistics via LiftingKirill Paramonov, Dmitry Shemetov, James Sharpnack. 587-595 [doi]
- Estimating Node Importance in Knowledge Graphs Using Graph Neural NetworksNamyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos. 596-606 [doi]
- ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional DataSongshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer. 607-616 [doi]
- Exact-K Recommendation via Maximal Clique OptimizationYu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu. 617-626 [doi]
- Exploiting Cognitive Structure for Adaptive LearningQi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang. 627-635 [doi]
- Factorization Bandits for Online Influence MaximizationQingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang. 636-646 [doi]
- Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged ApproachMinji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos. 647-657 [doi]
- Fast Approximation of Empirical Entropy via SubsamplingChi Wang, Bailu Ding. 658-667 [doi]
- Fates of Microscopic Social Ecosystems: Keep Alive or Dead?Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu 0001, Yishi Lin. 668-676 [doi]
- Fighting Opinion Control in Social Networks via Link RecommendationVictor Amelkin, Ambuj K. Singh. 677-685 [doi]
- Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with CokrigingNikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras. 686-695 [doi]
- Focused Context Balancing for Robust Offline Policy EvaluationHao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui 0001. 696-704 [doi]
- GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix FactorizationPeng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao 0001, Panos Kalnis. 705-713 [doi]
- Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic SpaceNicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. 714-722 [doi]
- Graph Convolutional Networks with EigenPoolingYao Ma 0001, Suhang Wang, Charu C. Aggarwal, Jiliang Tang. 723-731 [doi]
- Graph Recurrent Networks With Attributed Random WalksXiao Huang, Qingquan Song, Yuening Li, Xia Hu. 732-740 [doi]
- Graph Representation Learning via Hard and Channel-Wise Attention NetworksHongyang Gao, Shuiwang Ji. 741-749 [doi]
- Graph Transformation Policy Network for Chemical Reaction PredictionKien Do, Truyen Tran 0001, Svetha Venkatesh. 750-760 [doi]
- Graph-based Semi-Supervised & Active Learning for Edge FlowsJunteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson. 761-771 [doi]
- GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain DataYujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sripada, Danai Koutra. 772-782 [doi]
- HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets EmbeddingsChangping Meng, Jiasen Yang, Bruno Ribeiro 0001, Jennifer Neville. 783-792 [doi]
- Heterogeneous Graph Neural NetworkChuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla. 793-803 [doi]
- Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological ApplicationsZhe Jiang 0001, Arpan Man Sainju. 804-813 [doi]
- Hidden POI Ranking with Spatial CrowdsourcingYue Cui, Liwei Deng, Yan Zhao 0008, Bin Yao 0002, Vincent W. Zheng, Kai Zheng 0001. 814-824 [doi]
- Hierarchical Gating Networks for Sequential RecommendationChen Ma, Peng Kang, Xue Liu. 825-833 [doi]
- Hierarchical Multi-Task Word Embedding Learning for Synonym PredictionHongliang Fei, Shulong Tan, Ping Li. 834-842 [doi]
- Hypothesis Generation From Text Based On Co-Evolution Of Biomedical ConceptsKishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang. 843-851 [doi]
- Identifiability of Cause and Effect using Regularized RegressionAlexander Marx, Jilles Vreeken. 852-861 [doi]
- Improving the Quality of Explanations with Local Embedding PerturbationsYunzhe Jia, James Bailey 0001, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle. 875-884 [doi]
- Incorporating Interpretability into Latent Factor Models via Fast Influence AnalysisWeiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu. 885-893 [doi]
- Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock EmbeddingZhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu. 894-902 [doi]
- Interpretable and Steerable Sequence Learning via PrototypesYao Ming, Panpan Xu, Huamin Qu, Liu Ren. 903-913 [doi]
- Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling MemoriesRui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao 0001. 914-922 [doi]
- Investigating Cognitive Effects in Session-level Search User SatisfactionMengyang Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma. 923-931 [doi]
- Is a Single Vector Enough?: Exploring Node Polysemy for Network EmbeddingNinghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu. 932-940 [doi]
- Isolation Set-Kernel and Its Application to Multi-Instance LearningBi-Cun Xu, Kai Ming Ting, Zhi-Hua Zhou. 941-949 [doi]
- KGAT: Knowledge Graph Attention Network for RecommendationXiang Wang, Xiangnan He 0001, Yixin Cao 0003, Meng Liu, Tat-Seng Chua. 950-958 [doi]
- K-Multiple-Means: A Multiple-Means Clustering Method with Specified K ClustersFeiping Nie, Cheng-Long Wang, Xuelong Li. 959-967 [doi]
- Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender SystemsHongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang. 968-977 [doi]
- λOpt: Learn to Regularize Recommender Models in Finer LevelsYihong Chen, Bei Chen, Xiangnan He 0001, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang. 978-986 [doi]
- Latent Network Summarization: Bridging Network Embedding and SummarizationDi Jin, Ryan A. Rossi, Eunyee Koh, SungChul Kim, Anup Rao, Danai Koutra. 987-997 [doi]
- Learning Class-Conditional GANs with Active SamplingMing-Kun Xie, Sheng-Jun Huang. 998-1006 [doi]
- Learning Dynamic Context Graphs for Predicting Social EventsSonggaojun Deng, Huzefa Rangwala, Yue Ning. 1007-1016 [doi]
- Learning from Incomplete and Inaccurate SupervisionZhen-yu Zhang, Peng Zhao, Yuan Jiang 0001, Zhi-Hua Zhou. 1017-1025 [doi]
- Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph MiningTomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama. 1026-1036 [doi]
- Learning Network-to-Network Model for Content-rich Network EmbeddingZhicheng He, Jie Liu, Na Li, Yalou Huang. 1037-1045 [doi]
- Link Prediction with Signed Latent Factors in Signed Social NetworksPinghua Xu, Wenbin Hu, Jia Wu 0001, Bo Du. 1046-1054 [doi]
- Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory UnitZhiqiang Tao, Sheng Li 0001, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu 0001. 1055-1063 [doi]
- MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social NetworkHao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su. 1064-1072 [doi]
- MeLU: Meta-Learned User Preference Estimator for Cold-Start RecommendationHoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung. 1073-1082 [doi]
- Mining Algorithm Roadmap in Scientific PublicationsHanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan. 1083-1092 [doi]
- MinJoin: Efficient Edit Similarity Joins via Local Hash MinimaHaoyu Zhang, Qin Zhang 0001. 1093-1103 [doi]
- Modeling Dwell Time Engagement on Visual MultimediaHemank Lamba, Neil Shah. 1104-1113 [doi]
- Modeling Extreme Events in Time Series PredictionDaizong Ding, Mi Zhang, Xudong Pan, Min Yang 0002, Xiangnan He. 1114-1122 [doi]
- Multiple Relational Attention Network for Multi-task LearningJiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong. 1123-1131 [doi]
- Multi-Relational Classification via Bayesian Ranked Non-Linear EmbeddingsAhmed Rashed, Josif Grabocka, Lars Schmidt-Thieme. 1132-1140 [doi]
- Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price ClassificationChang Li, Dongjin Song, Dacheng Tao. 1141-1151 [doi]
- Network Density of StatesKun Dong, Austin R. Benson, David Bindel. 1152-1161 [doi]
- NodeSketch: Highly-Efficient Graph Embeddings via Recursive SketchingDingqi Yang, Paolo Rosso, Bin Li, Philippe Cudré-Mauroux. 1162-1172 [doi]
- OBOE: Collaborative Filtering for AutoML Model SelectionChengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell. 1173-1183 [doi]
- Off-policy Learning for Multiple LoggersLi He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin. 1184-1193 [doi]
- On Dynamic Network Models and Application to Causal ImpactYu-Chia Chen, Avleen S. Bijral, Juan Lavista Ferres. 1194-1204 [doi]
- Optimizing Impression Counts for Outdoor AdvertisingYipeng Zhang, Yuchen Li, Zhifeng Bao, Songsong Mo, Ping Zhang. 1205-1215 [doi]
- Optimizing Peer Learning in Online Groups with AffinitiesMohammadreza Esfandiari, Dong Wei, Sihem Amer-Yahia, Senjuti Basu Roy. 1216-1226 [doi]
- Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand ModelingYuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu 0007, Kai Zheng 0001. 1227-1235 [doi]
- Pairwise Comparisons with Flexible Time-DynamicsLucas Maystre, Victor Kristof, Matthias Grossglauser. 1236-1246 [doi]
- Paper Matching with Local Fairness ConstraintsAri Kobren, Barna Saha, Andrew McCallum. 1247-1257 [doi]
- PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational DataSanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng. 1258-1268 [doi]
- Predicting Dynamic Embedding Trajectory in Temporal Interaction NetworksSrijan Kumar, Xikun Zhang, Jure Leskovec. 1269-1278 [doi]
- Predicting Path Failure In Time-Evolving GraphsJia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan. 1279-1289 [doi]
- PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial NetworkHua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li. 1290-1298 [doi]
- PrivPy: General and Scalable Privacy-Preserving Data MiningYi Li, Wei Xu. 1299-1307 [doi]
- ProGAN: Network Embedding via Proximity Generative Adversarial NetworkHongchang Gao, Jian Pei, Heng Huang. 1308-1316 [doi]
- Quantifying Long Range Dependence in Language and User Behavior to improve RNNsFrancois Belletti, Minmin Chen, Ed H. Chi. 1317-1327 [doi]
- QuesNet: A Unified Representation for Heterogeneous Test QuestionsYu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su 0002. 1328-1336 [doi]
- Regularized Regression for Hierarchical Forecasting Without Unbiasedness ConditionsSouhaib Ben Taieb, Bonsoo Koo. 1337-1347 [doi]
- Relation Extraction via Domain-aware Transfer LearningShimin Di, Yanyan Shen, Lei Chen. 1348-1357 [doi]
- Representation Learning for Attributed Multiplex Heterogeneous NetworkYukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang 0001. 1358-1368 [doi]
- Retaining Privileged Information for Multi-Task LearningFengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman. 1369-1377 [doi]
- Revisiting kd-tree for Nearest Neighbor SearchParikshit Ram, Kaushik Sinha. 1378-1388 [doi]
- Riker: Mining Rich Keyword Representations for Interpretable Product Question AnsweringJie Zhao, Ziyu Guan, Huan Sun. 1389-1398 [doi]
- Robust Graph Convolutional Networks Against Adversarial AttacksDingyuan Zhu, Ziwei Zhang, Peng Cui 0001, Wenwu Zhu 0001. 1399-1407 [doi]
- Robust Task Grouping with Representative Tasks for Clustered Multi-Task LearningYaqiang Yao, Jie Cao, Huanhuan Chen. 1408-1417 [doi]
- Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph EmbeddingLingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng 0005, Yinglong Xia, Charu C. Aggarwal. 1418-1428 [doi]
- Scalable Graph Embeddings via Sparse Transpose ProximitiesYuan Yin, Zhewei Wei. 1429-1437 [doi]
- Scalable Hierarchical Clustering with Tree GraftingNicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum. 1438-1448 [doi]
- Scaling Multi-Armed Bandit AlgorithmsEdouard Fouché, Junpei Komiyama, Klemens Böhm. 1449-1459 [doi]
- Scaling Multinomial Logistic Regression via Hybrid ParallelismParameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan. 1460-1470 [doi]
- Separated Trust Regions Policy Optimization MethodLuobao Zou, Zhiwei Zhuang, Yin Cheng, Xuechun Wang, Weidong Zhang 0004. 1471-1479 [doi]
- Sequential Anomaly Detection using Inverse Reinforcement LearningMin-hwan Oh, Garud Iyengar. 1480-1490 [doi]
- Sets2Sets: Learning from Sequential Sets with Neural NetworksHaoji Hu, Xiangnan He. 1491-1499 [doi]
- Sherlock: A Deep Learning Approach to Semantic Data Type DetectionMadelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo. 1500-1508 [doi]
- Significance of Patterns in Data VisualisationsRafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki. 1509-1517 [doi]
- Social Recommendation with Optimal Limited AttentionXin Wang, Wenwu Zhu 0001, Chenghao Liu. 1518-1527 [doi]
- SPuManTE: Significant Pattern Mining with Unconditional TestingLeonardo Pellegrina, Matteo Riondato, Fabio Vandin. 1528-1538 [doi]
- Stability and Generalization of Graph Convolutional Neural NetworksSaurabh Verma, Zhi-Li Zhang. 1539-1548 [doi]
- State-Sharing Sparse Hidden Markov Models for Personalized SequencesHongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin. 1549-1559 [doi]
- Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent UnitsPrathamesh Deshpande, Sunita Sarawagi. 1560-1568 [doi]
- Streaming Session-based RecommendationLei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung. 1569-1577 [doi]
- SurfCon: Synonym Discovery on Privacy-Aware Clinical DataZhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun. 1578-1586 [doi]
- Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector LearningShuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang. 1587-1595 [doi]
- Task-Adversarial Co-Generative NetsPei Yang, Qi Tan, Hanghang Tong, Jingrui He. 1596-1604 [doi]
- Tensorized Determinantal Point Processes for RecommendationRomain Warlop, Jérémie Mary, Mike Gartrell. 1605-1615 [doi]
- Testing Dynamic Incentive Compatibility in Display Ad AuctionsYuan Deng, Sébastien Lahaie. 1616-1624 [doi]
- The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network ApproachYing Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong. 1625-1633 [doi]
- The Role of: A Novel Scientific Knowledge Graph Representation and Construction ModelTianwen Jiang, Tong Zhao, Bing Qin 0001, Ting Liu 0001, Nitesh V. Chawla, Meng Jiang 0001. 1634-1642 [doi]
- Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing PlatformsBoyang Li, Yurong Cheng, Ye Yuan 0001, Guoren Wang, Lei Chen 0002. 1643-1653 [doi]
- Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested ScenariosStefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla. 1654-1664 [doi]
- Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?Xiaowei Jia, Sheng Li, Handong Zhao, SungChul Kim, Vipin Kumar. 1665-1673 [doi]
- Training and Meta-Training Binary Neural Networks with Quantum ComputingAbdulah Fawaz, Paul Klein, Sebastien Piat, Simone Severini, Peter Mountney. 1674-1681 [doi]
- TUBE: Embedding Behavior Outcomes for Predicting SuccessDaheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang. 1682-1690 [doi]
- Uncovering Pattern Formation of Information FlowChengxi Zang, Peng Cui 0001, Chaoming Song, Wenwu Zhu 0001, Fei Wang. 1691-1699 [doi]
- Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial LearningYunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng 0004. 1700-1708 [doi]
- Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological ConceptsJunheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. 1709-1719 [doi]
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- Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-BeingEhimwenma Nosakhare, Rosalind W. Picard. 2718-2726 [doi]
- Pythia: AI-assisted Code Completion SystemAlexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan. 2727-2735 [doi]
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- Ranking in Genealogy: Search Results Fusion at AncestryPeng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi. 2754-2764 [doi]
- Real-time Attention Based Look-alike Model for Recommender SystemYudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin. 2765-2773 [doi]
- Real-time Event Detection on Social Data StreamsMateusz Fedoryszak, Brent Frederick, Vijay Rajaram, Changtao Zhong. 2774-2782 [doi]
- Real-time On-Device Troubleshooting Recommendation for SmartphonesKeiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka, Yusuke Fukazawa. 2783-2791 [doi]
- Real-World Product Deployment of Adaptive Push Notification Scheduling on SmartphonesTadashi Okoshi, Kota Tsubouchi, Hideyuki Tokuda. 2792-2800 [doi]
- Recurrent Neural Networks for Stochastic Control in Real-Time BiddingNicolas Grislain, Nicolas Perrin 0002, Antoine Thabault. 2801-2809 [doi]
- Reinforcement Learning to Optimize Long-term User Engagement in Recommender SystemsLixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu 0001, Dawei Yin. 2810-2818 [doi]
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- Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural NetworkYa Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei. 2828-2837 [doi]
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- Sequential Scenario-Specific Meta Learner for Online RecommendationZhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang. 2895-2904 [doi]
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- Shrinkage Estimators in Online ExperimentsDrew Dimmery, Eytan Bakshy, Jasjeet Sekhon. 2914-2922 [doi]
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- The Error is the Feature: How to Forecast Lightning using a Model Prediction ErrorChristian Schön, Jens Dittrich, Richard Müller 0003. 2979-2988 [doi]
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation AnalysisXuan Yin, Liangjie Hong. 2989-2999 [doi]
- The Secret Lives of Names?: Name Embeddings from Social MediaJunting Ye, Steven Skiena. 3000-3008 [doi]
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- TrajGuard: A Comprehensive Trajectory Copyright Protection SchemeZheyi Pan, Jie Bao 0003, Weinan Zhang 0001, Yong Yu 0001, Yu Zheng 0004. 3060-3070 [doi]
- TV Advertisement Scheduling by Learning Expert IntentionsYasuhisa Suzuki, Wemer M. Wee, Itaru Nishioka. 3071-3081 [doi]
- Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing PlatformTom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty. 3082-3092 [doi]
- Uncovering the Co-driven Mechanism of Social and Content Links in User Churn PhenomenaYunfei Lu, Linyun Yu, Peng Cui 0001, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu 0001. 3093-3101 [doi]
- Understanding Consumer Journey using Attention based Recurrent Neural NetworksYichao Zhou, Shaunak Mishra, Jelena Gligorijevic, Tarun Bhatia, Narayan Bhamidipati. 3102-3111 [doi]
- Understanding the Role of Style in E-commerce ShoppingHao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong. 3112-3120 [doi]
- Unsupervised Clinical Language TranslationWei-Hung Weng, Yu-An Chung, Peter Szolovits. 3121-3131 [doi]
- UrbanFM: Inferring Fine-Grained Urban FlowsYuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng. 3132-3142 [doi]
- Using Twitter to Predict When Vulnerabilities will be ExploitedHaipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian. 3143-3152 [doi]
- Whole Page Optimization with Global ConstraintsWeicong Ding, Dinesh Govindaraj, S. V. N. Vishwanathan. 3153-3161 [doi]
- 4 Perspectives in Human-Centered Machine LearningCarlos Guestrin. 3162 [doi]
- Addressing Challenges in Data Science: Scale, Skill Sets and ComplexityJoseph Bradley. 3163 [doi]
- AI for Small Businesses and Consumers: Applications and InnovationsAshok Srivastava. 3164 [doi]
- AliGraph: A Comprehensive Graph Neural Network PlatformHongxia Yang. 3165-3166 [doi]
- Analytics Journey Map: An Approach Enable to ML at ScaleGanesh Thondikulam. 3167 [doi]
- Applications of AI/ML in Established and New IndustriesHassan Sawaf. 3168 [doi]
- Building a Better Self-Driving Car: Hardware, Software, and KnowledgeKumar Chellapilla. 3169 [doi]
- Data Science Challenges @ LinkedInYa Xu. 3170 [doi]
- Earth Observations from a New Generation of Geostationary SatellitesRamakrishna R. Nemani. 3171 [doi]
- Exploiting High Dimensionality in Big DataDavid Heckerman. 3172 [doi]
- Facebook Disaster Maps: Aggregate Insights for Crisis Response & RecoveryPaige Maas. 3173 [doi]
- Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine LearningRichard Caruana. 3174 [doi]
- From Code to Data: AI at Scale for Developer ProductivityNeel Sundaresan. 3175 [doi]
- Integrating Domain-Knowledge into Deep LearningRuslan Salakhutdinov. 3176 [doi]
- Preventing Rhino Poaching through Machine LearningOlga Liakhovich, Gabriel Domínguez-Conde. 3177 [doi]
- Product Ecosystem Optimization at LinkedInRómer Rosales. 3178 [doi]
- Roll of Unified Graph Analysis PlatformsYinglong Xia. 3179 [doi]
- Seven Years of Data Science at AirbnbElena Grewal. 3180 [doi]
- Spinning the AI PinwheelJairam Ranganathan. 3181 [doi]
- Towards ML Engineering with TensorFlow Extended (TFX)Konstantinos Katsiapis, Kevin Haas. 3182 [doi]
- Transportation: A Data Driven ApproachJieping Ye. 3183 [doi]
- Welfare Maximization in Online Two-sided MarketplacesSreenivas Gollapudi. 3184 [doi]
- Adaptive Influence MaximizationBogdan Cautis, Silviu Maniu, Nikolaos Tziortziotis. 3185-3186 [doi]
- Advances in Cost-sensitive Multiclass and Multilabel ClassificationHsuan-Tien Lin. 3187-3188 [doi]
- Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled ExperimentsXiaolin Shi, Pavel Dmitriev, Somit Gupta, Xin Fu. 3189-3190 [doi]
- Constructing and Mining Heterogeneous Information Networks from Massive TextJingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han 0001. 3191-3192 [doi]
- Data Integration and Machine Learning: A Natural SynergyXin Luna Dong, Theodoros Rekatsinas. 3193-3194 [doi]
- Tutorial: Data Mining Methods for Drug Discovery and DevelopmentCao Xiao, Jimeng Sun. 3195-3196 [doi]
- Deep Bayesian Mining, Learning and UnderstandingJen-Tzung Chien. 3197-3198 [doi]
- Deep Natural Language Processing for Search and Recommender SystemsWeiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal. 3199-3200 [doi]
- Deep Reinforcement Learning with Applications in TransportationZhiwei (Tony) Qin, Jian Tang 0008, Jieping Ye. 3201-3202 [doi]
- Explainable AI in IndustryKrishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly. 3203-3204 [doi]
- Fairness-Aware Machine Learning: Practical Challenges and Lessons LearnedSarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell. 3205-3206 [doi]
- Fake News Research: Theories, Detection Strategies, and Open ProblemsReza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu. 3207-3208 [doi]
- Forecasting Big Time Series: Theory and PracticeChristos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang. 3209-3210 [doi]
- Foundations of Large-Scale Sequential ExperimentationAaditya Ramdas. 3211-3212 [doi]
- Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and InterpretationDawei Zhou, Jingrui He. 3213-3214 [doi]
- Hypothesis Testing and Statistically-sound Pattern MiningLeonardo Pellegrina, Matteo Riondato, Fabio Vandin. 3215-3216 [doi]
- Incompleteness in Networks: Biases, Skewed Results, and Some SolutionsTina Eliassi-Rad, Rajmonda Caceres, Timothy LaRock. 3217-3218 [doi]
- Interpretable Knowledge Discovery Reinforced by Visual MethodsBoris Kovalerchuk. 3219-3220 [doi]
- Learning From Networks: Algorithms, Theory, and ApplicationsXiao Huang, Peng Cui 0001, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang 0001, Hongxia Yang, Wenwu Zhu 0001. 3221-3222 [doi]
- Mining and Model Understanding on Medical DataMyra Spiliopoulou, Panagiotis Papapetrou. 3223-3224 [doi]
- Mining Temporal NetworksPolina Rozenshtein, Aristides Gionis. 3225-3226 [doi]
- Modeling and Applications for Temporal Point ProcessesJunchi Yan, Hongteng Xu, Liangda Li. 3227-3228 [doi]
- Modern MDL meets Data Mining Insights, Theory, and PracticeJilles Vreeken, Kenji Yamanishi. 3229-3230 [doi]
- Optimizing the Wisdom of the Crowd: Inference, Learning, and TeachingYao Zhou, Fenglong Ma, Jing Gao 0004, Jingrui He. 3231-3232 [doi]
- Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine LearningPin-Yu Chen, Sijia Liu 0001. 3233-3234 [doi]
- Social User Interest Mining: Methods and ApplicationsFattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri. 3235-3236 [doi]
- Spatio-temporal Event Forecasting and Precursor IdentificationYue Ning, Liang Zhao 0002, Feng Chen 0001, Chang-Tien Lu, Huzefa Rangwala. 3237-3238 [doi]
- Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural NetworksCharles H. Martin, Michael W. Mahoney. 3239-3240 [doi]
- Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing ProblemsDavid C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli. 3241-3242 [doi]