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25th KDD 2019: Anchorage, AK, USA
- Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. ACM 2019, ISBN 978-1-4503-6201-6
Keynote Talks
- Cynthia Rudin:
Do Simpler Models Exist and How Can We Find Them? 1-2 - Peter Lee:
The Unreasonable Effectiveness, and Difficulty, of Data in Healthcare. 3-4
Research Track Papers
- Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam:
A Free Energy Based Approach for Distance Metric Learning. 5-13 - Qingxin Meng, Hengshu Zhu
A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. 14-24 - Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan:
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets. 25-33 - Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. 34-43 - Yuchao Liu, Ery Arias-Castro:
A Multiscale Scan Statistic for Adaptive Submatrix Localization. 44-53 - Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. 54-64 - Yifan Hou
A Representation Learning Framework for Property Graphs. 65-73 - Yang Yang, Da-Wei Zhou
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. 74-82 - Deng-Bao Wang, Li Li, Min-Ling Zhang
Adaptive Graph Guided Disambiguation for Partial Label Learning. 83-91 - Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu:
Adaptive Unsupervised Feature Selection on Attributed Networks. 92-100 - Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Adaptive-Halting Policy Network for Early Classification. 101-110 - Junxiang Wang
ADMM for Efficient Deep Learning with Global Convergence. 111-119 - Binbin Hu, Yuan Fang
Adversarial Learning on Heterogeneous Information Networks. 120-129 - Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li:
Adversarial Substructured Representation Learning for Mobile User Profiling. 130-138 - Xiang Zhang
Adversarial Variational Embedding for Robust Semi-supervised Learning. 139-147 - Dmitrii Avdiukhin, Slobodan Mitrovic, Grigory Yaroslavtsev, Samson Zhou:
Adversarially Robust Submodular Maximization under Knapsack Constraints. 148-156 - Tong Yu, Yilin Shen, Hongxia Jin:
A Visual Dialog Augmented Interactive Recommender System. 157-165 - Ben Goodrich, Vinay Rao, Peter J. Liu, Mohammad Saleh:
Assessing The Factual Accuracy of Generated Text. 166-175 - Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren:
AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization. 176-186 - Sheng Guan, Hanchao Ma, Yinghui Wu:
Attribute-Driven Backbone Discovery. 187-195 - Congzheng Song, Vitaly Shmatikov:
Auditing Data Provenance in Text-Generation Models. 196-206 - Kunpeng Liu
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. 207-215 - Ke Tu, Jianxin Ma, Peng Cui, Jian Pei
AutoNE: Hyperparameter Optimization for Massive Network Embedding. 216-225 - Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana:
Axiomatic Interpretability for Multiclass Additive Models. 226-234 - Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. 235-245 - Daniel Zügner, Stephan Günnemann:
Certifiable Robustness and Robust Training for Graph Convolutional Networks. 246-256 - Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh:
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. 257-266 - Sara Ahmadian, Alessandro Epasto
Clustering without Over-Representation. 267-275 - Hongchang Gao, Jian Pei
Conditional Random Field Enhanced Graph Convolutional Neural Networks. 276-284 - Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu:
Contextual Fact Ranking and Its Applications in Table Synthesis and Compression. 285-293 - Anes Bendimerad
Contrastive Antichains in Hierarchies. 294-304 - Junchen Ye, Leilei Sun
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. 305-313 - Yanhao Wang
Coresets for Minimum Enclosing Balls over Sliding Windows. 314-323 - Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu:
CoSTCo: A Neural Tensor Completion Model for Sparse Tensors. 324-334 - Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. 335-343 - Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao:
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. 344-352 - Guansong Pang
Deep Anomaly Detection with Deviation Networks. 353-362 - Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. 363-372 - Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. 373-383 - Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu:
DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks. 384-394 - Kai Shu, Limeng Cui, Suhang Wang
dEFEND: Explainable Fake News Detection. 395-405 - Jun Wu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. 406-415 - Jing-Han Wu, Min-Ling Zhang
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction. 416-424 - Michael Doron, Idan Segev
Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models. 425-435 - Baojian Zhou, Feng Chen, Yiming Ying:
Dual Averaging Method for Online Graph-structured Sparsity. 436-446 - Qitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen
Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination. 447-457 - Yasuko Matsubara, Yasushi Sakurai:
Dynamic Modeling and Forecasting of Time-evolving Data Streams. 458-468 - Chengxi Zang
Dynamical Origins of Distribution Functions. 469-478 - Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. 479-487 - Lisi Chen, Shuo Shang, Christian S. Jensen
Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation. 488-498 - Zheng Wang, Cheng Long, Gao Cong, Ce Ju
Effective and Efficient Sports Play Retrieval with Deep Representation Learning. 499-509 - Yexin Li
Efficient and Effective Express via Contextual Cooperative Reinforcement Learning. 510-519 - Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal:
Efficient Global String Kernel with Random Features: Beyond Counting Substructures. 520-528 - Lijun Chang:
Efficient Maximum Clique Computation over Large Sparse Graphs. 529-538 - Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin:
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. 539-547 - Qinyong Wang, Hongzhi Yin
Enhancing Collaborative Filtering with Generative Augmentation. 548-556 - Shibo Yao, Dantong Yu, Keli Xiao:
Enhancing Domain Word Embedding via Latent Semantic Imputation. 557-565 - Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye:
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. 566-576 - Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan
EpiDeep: Exploiting Embeddings for Epidemic Forecasting. 577-586 - Kirill Paramonov, Dmitry Shemetov, James Sharpnack:
Estimating Graphlet Statistics via Lifting. 587-595 - Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. 596-606 - Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer
ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data. 607-616 - Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu:
Exact-K Recommendation via Maximal Clique Optimization. 617-626 - Qi Liu, Shiwei Tong, Chuanren Liu
Exploiting Cognitive Structure for Adaptive Learning. 627-635 - Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen
Factorization Bandits for Online Influence Maximization. 636-646 - Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. 647-657 - Chi Wang, Bailu Ding:
Fast Approximation of Empirical Entropy via Subsampling. 658-667 - Haoyang Li, Peng Cui, Chengxi Zang
Fates of Microscopic Social Ecosystems: Keep Alive or Dead? 668-676 - Victor Amelkin
Fighting Opinion Control in Social Networks via Link Recommendation. 677-685 - Nikita Klyuchnikov, Davide Mottin
Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. 686-695 - Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui:
Focused Context Balancing for Robust Offline Policy Evaluation. 696-704 - Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. 705-713 - Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed:
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. 714-722 - Yao Ma, Suhang Wang
Graph Convolutional Networks with EigenPooling. 723-731 - Xiao Huang
Graph Recurrent Networks With Attributed Random Walks. 732-740 - Hongyang Gao, Shuiwang Ji
Graph Representation Learning via Hard and Channel-Wise Attention Networks. 741-749 - Kien Do
Graph Transformation Policy Network for Chemical Reaction Prediction. 750-760 - Junteng Jia, Michael T. Schaub
Graph-based Semi-Supervised & Active Learning for Edge Flows. 761-771 - Yujun Yan
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. 772-782 - Changping Meng, Jiasen Yang, Bruno Ribeiro
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. 783-792 - Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
Heterogeneous Graph Neural Network. 793-803 - Zhe Jiang
Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications. 804-813 - Yue Cui
Hidden POI Ranking with Spatial Crowdsourcing. 814-824 - Chen Ma
Hierarchical Gating Networks for Sequential Recommendation. 825-833 - Hongliang Fei, Shulong Tan, Ping Li:
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. 834-842 - Kishlay Jha
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. 843-851 - Alexander Marx
Identifiability of Cause and Effect using Regularized Regression. 852-861 - Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie
Improving the Quality of Explanations with Local Embedding Perturbations. 875-884 - Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu:
Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis. 885-893 - Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin
Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. 894-902 - Yao Ming, Panpan Xu, Huamin Qu, Liu Ren:
Interpretable and Steerable Sequence Learning via Prototypes. 903-913 - Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang
Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories. 914-922 - Mengyang Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating Cognitive Effects in Session-level Search User Satisfaction. 923-931 - Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. 932-940 - Bi-Cun Xu, Kai Ming Ting, Zhi-Hua Zhou:
Isolation Set-Kernel and Its Application to Multi-Instance Learning. 941-949 - Xiang Wang
KGAT: Knowledge Graph Attention Network for Recommendation. 950-958 - Feiping Nie
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters. 959-967 - Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. 968-977 - Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang:
λOpt: Learn to Regularize Recommender Models in Finer Levels. 978-986 - Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra:
Latent Network Summarization: Bridging Network Embedding and Summarization. 987-997 - Ming-Kun Xie, Sheng-Jun Huang:
Learning Class-Conditional GANs with Active Sampling. 998-1006 - Songgaojun Deng, Huzefa Rangwala, Yue Ning
Learning Dynamic Context Graphs for Predicting Social Events. 1007-1016 - Zhenyu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Learning from Incomplete and Inaccurate Supervision. 1017-1025 - Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. 1026-1036 - Zhicheng He, Jie Liu, Na Li, Yalou Huang:
Learning Network-to-Network Model for Content-rich Network Embedding. 1037-1045 - Pinghua Xu, Wenbin Hu, Jia Wu
Link Prediction with Signed Latent Factors in Signed Social Networks. 1046-1054 - Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu:
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. 1055-1063 - Hao Wang
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. 1064-1072 - Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung:
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. 1073-1082 - Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan:
Mining Algorithm Roadmap in Scientific Publications. 1083-1092 - Haoyu Zhang, Qin Zhang
MinJoin: Efficient Edit Similarity Joins via Local Hash Minima. 1093-1103 - Hemank Lamba, Neil Shah:
Modeling Dwell Time Engagement on Visual Multimedia. 1104-1113 - Daizong Ding, Mi Zhang, Xudong Pan, Min Yang
Modeling Extreme Events in Time Series Prediction. 1114-1122 - Jiejie Zhao, Bowen Du, Leilei Sun
Multiple Relational Attention Network for Multi-task Learning. 1123-1131 - Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings. 1132-1140 - Chang Li, Dongjin Song, Dacheng Tao:
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 Classification. 1141-1151 - Kun Dong, Austin R. Benson, David Bindel:
Network Density of States. 1152-1161 - Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudré-Mauroux
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching. 1162-1172 - Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell
OBOE: Collaborative Filtering for AutoML Model Selection. 1173-1183 - Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. 1184-1193 - Yu-Chia Chen
On Dynamic Network Models and Application to Causal Impact. 1194-1204 - Yipeng Zhang, Yuchen Li
Optimizing Impression Counts for Outdoor Advertising. 1205-1215 - Mohammadreza Esfandiari, Dong Wei, Sihem Amer-Yahia, Senjuti Basu Roy:
Optimizing Peer Learning in Online Groups with Affinities. 1216-1226 - Yuandong Wang, Hongzhi Yin
Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling. 1227-1235 - Lucas Maystre, Victor Kristof, Matthias Grossglauser:
Pairwise Comparisons with Flexible Time-Dynamics. 1236-1246 - Ari Kobren, Barna Saha, Andrew McCallum:
Paper Matching with Local Fairness Constraints. 1247-1257 - Sanjoy Dey, Ping Zhang
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. 1258-1268 - Srijan Kumar
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. 1269-1278 - Jia Li, Zhichao Han
Predicting Path Failure In Time-Evolving Graphs. 1279-1289 - Hua Wei
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. 1290-1298 - Yi Li, Wei Xu:
PrivPy: General and Scalable Privacy-Preserving Data Mining. 1299-1307 - Hongchang Gao, Jian Pei
ProGAN: Network Embedding via Proximity Generative Adversarial Network. 1308-1316 - Francois Belletti, Minmin Chen, Ed H. Chi:
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. 1317-1327 - Yu Yin
QuesNet: A Unified Representation for Heterogeneous Test Questions. 1328-1336 - Souhaib Ben Taieb, Bonsoo Koo
Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. 1337-1347 - Shimin Di
Relation Extraction via Domain-aware Transfer Learning. 1348-1357 - Yukuo Cen
Representation Learning for Attributed Multiplex Heterogeneous Network. 1358-1368 - Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman:
Retaining Privileged Information for Multi-Task Learning. 1369-1377 - Parikshit Ram, Kaushik Sinha:
Revisiting kd-tree for Nearest Neighbor Search. 1378-1388 - Jie Zhao, Ziyu Guan, Huan Sun:
Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering. 1389-1398 - Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu:
Robust Graph Convolutional Networks Against Adversarial Attacks. 1399-1407 - Yaqiang Yao, Jie Cao
Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning. 1408-1417 - Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal:
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. 1418-1428 - Yuan Yin, Zhewei Wei:
Scalable Graph Embeddings via Sparse Transpose Proximities. 1429-1437 - Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum:
Scalable Hierarchical Clustering with Tree Grafting. 1438-1448 - Edouard Fouché, Junpei Komiyama, Klemens Böhm:
Scaling Multi-Armed Bandit Algorithms. 1449-1459 - Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan:
Scaling Multinomial Logistic Regression via Hybrid Parallelism. 1460-1470 - Luobao Zou, Zhiwei Zhuang, Yin Cheng, Xuechun Wang
Separated Trust Regions Policy Optimization Method. 1471-1479 - Min-hwan Oh, Garud Iyengar:
Sequential Anomaly Detection using Inverse Reinforcement Learning. 1480-1490 - Haoji Hu, Xiangnan He:
Sets2Sets: Learning from Sequential Sets with Neural Networks. 1491-1499 - Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. 1500-1508 - Rafael Savvides, Andreas Henelius, Emilia Oikarinen
Significance of Patterns in Data Visualisations. 1509-1517 - Xin Wang, Wenwu Zhu, Chenghao Liu:
Social Recommendation with Optimal Limited Attention. 1518-1527 - Leonardo Pellegrina
SPuManTE: Significant Pattern Mining with Unconditional Testing. 1528-1538 - Saurabh Verma, Zhi-Li Zhang:
Stability and Generalization of Graph Convolutional Neural Networks. 1539-1548 - Hongzhi Shi, Chao Zhang
State-Sharing Sparse Hidden Markov Models for Personalized Sequences. 1549-1559 - Prathamesh Deshpande, Sunita Sarawagi:
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. 1560-1568 - Lei Guo
Streaming Session-based Recommendation. 1569-1577 - Zhen Wang, Xiang Yue
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. 1578-1586 - Shuyang Yu
Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. 1587-1595 - Pei Yang, Qi Tan, Hanghang Tong
Task-Adversarial Co-Generative Nets. 1596-1604 - Romain Warlop, Jérémie Mary, Mike Gartrell:
Tensorized Determinantal Point Processes for Recommendation. 1605-1615 - Yuan Deng, Sébastien Lahaie:
Testing Dynamic Incentive Compatibility in Display Ad Auctions. 1616-1624 - Ying Sun, Fuzhen Zhuang, Hengshu Zhu
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. 1625-1633 - Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. 1634-1642 - Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen:
Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms. 1643-1653 - Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla:
Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios. 1654-1664 - Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar:
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? 1665-1673 - Abdulah Fawaz, Paul Klein, Sebastien Piat, Simone Severini, Peter Mountney
Training and Meta-Training Binary Neural Networks with Quantum Computing. 1674-1681 - Daheng Wang
TUBE: Embedding Behavior Outcomes for Predicting Success. 1682-1690 - Chengxi Zang, Peng Cui, Chaoming Song
Uncovering Pattern Formation of Information Flow. 1691-1699 - Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng:
Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. 1700-1708 - Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. 1709-1719 - Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang:
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. 1720-1730
Applied Data Science Track Papers
- Lucas Bernardi, Themistoklis Mavridis, Pablo Estevez:
150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com. 1743-1751 - Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Airong Jiang, Ying Li, Hui Xiong:
A Collaborative Learning Framework to Tag Refinement for Points of Interest. 1752-1761 - Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen:
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. 1762-1770 - Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu:
A Deep Generative Approach to Search Extrapolation and Recommendation. 1771-1779 - Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. 1780-1790 - Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta:
A Generalized Framework for Population Based Training. 1791-1799 - Prithwish Chakraborty, Faisal Farooq:
A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR. 1800-1808 - Peng Tian
A Severity Score for Retinopathy of Prematurity. 1809-1819 - Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang:
A Unified Framework for Marketing Budget Allocation. 1820-1830 - Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu:
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. 1831-1841 - Zhipeng Luo, Jianqiang Huang, Ke Hu, Xue Li, Peng Zhang:
AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018. 1842-1850 - Tom Decroos, Lotte Bransen
Actions Speak Louder than Goals: Valuing Player Actions in Soccer. 1851-1861 - H. M. Sajjad Hossain, Nirmalya Roy:
Active Deep Learning for Activity Recognition with Context Aware Annotator Selection. 1862-1870 - Xiao Hui Tai
Adversarial Matching of Dark Net Market Vendor Accounts. 1871-1880 - Xiao Yang, Daren Sun, Ruiwei Zhu, Tao Deng, Zhi Guo, Zongyao Ding, Shouke Qin, Yanfeng Zhu:
AiAds: Automated and Intelligent Advertising System for Sponsored Search. 1881-1890 - Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song:
AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation. 1891-1899 - Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong:
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. 1900-1908 - Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng:
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. 1909-1916 - Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik:
Anomaly Detection for an E-commerce Pricing System. 1917-1926 - Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick Barrow-Williams, Bradley C. Turnbull, Brendan M. Collins, Thomas Legrand:
Applying Deep Learning to Airbnb Search. 1927-1935 - Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. 1936-1945 - Haifeng Jin, Qingquan Song, Xia Hu:
Auto-Keras: An Efficient Neural Architecture Search System. 1946-1956 - Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, Jieping Ye:
Automatic Dialogue Summary Generation for Customer Service. 1957-1965 - Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai:
Bid Optimization by Multivariable Control in Display Advertising. 1966-1974 - Lisa Singh, Laila Wahedi, Yanchen Wang, Yifang Wei, Christo Kirov, Susan Martin, Katharine M. Donato, Yaguang Liu, Kornraphop Kawintiranon:
Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration. 1975-1983 - Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. 1984-1992 - Michal Aharon, Oren Somekh, Avi Shahar, Assaf Singer, Baruch Trayvas, Hadas Vogel, Dobri Dobrev:
Carousel Ads Optimization in Yahoo Gemini Native. 1993-2001 - Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. 2002-2011 - Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song:
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. 2012-2022 - Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren:
Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. 2023-2031 - Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler:
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. 2032-2040 - Zhe Chen, Aixin Sun
Community Detection on Large Complex Attribute Network. 2041-2049 - Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore:
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes. 2050-2058 - Jan-Philipp Schulze
Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy. 2059-2068 - Shunsuke Kitada
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. 2069-2077 - Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du:
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction. 2078-2086 - Bin Wang
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. 2087-2095 - Anthony Sicilia, Konstantinos Pelechrinis, Kirk Goldsberry:
DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data. 2096-2104 - Stephen Lee
DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery. 2105-2113 - Renhe Jiang
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. 2114-2122 - Shahroz Tariq
Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA. 2123-2133 - Anil R. Yelundur, Vineet Chaoji
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. 2134-2144 - Richard Chen
Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams. 2145-2155 - Aleksander Fabijan
Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners. 2156-2164 - Chuan Qin
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. 2165-2173 - Naman Shukla, Arinbjörn Kolbeinsson
Dynamic Pricing for Airline Ancillaries with Customer Context. 2174-2182 - Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
E.T.-RNN: Applying Deep Learning to Credit Loan Applications. 2183-2190 - Kiri L. Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar
Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft. 2191-2201 - Laurence Yang, Michael A. Saunders
Estimating Cellular Goals from High-Dimensional Biological Data. 2202-2211 - Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow:
Fairness in Recommendation Ranking through Pairwise Comparisons. 2212-2220 - Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi:
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. 2221-2231 - Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou:
FDML: A Collaborative Machine Learning Framework for Distributed Features. 2232-2240 - Ye Tu, Chun Lo, Yiping Yuan, Shaunak Chatterjee:
Feedback Shaping: A Modeling Approach to Nurture Content Creation. 2241-2250 - Stephanie deWet, Jiafan Ou:
Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences. 2251-2259 - Doyen Sahoo, Hao Wang
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. 2260-2268 - J. Weston Hughes, Keng-hao Chang, Ruofei Zhang
Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. 2269-2277 - Yuhui Zheng, Linchuan Xu
Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. 2278-2286 - Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. 2287-2295 - Neha Arora, James Cook, Ravi Kumar, Ivan Kuznetsov
Hard to Park?: Estimating Parking Difficulty at Scale. 2296-2304 - Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic:
How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction. 2305-2313 - Hao Liu, Yongxin Tong
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. 2314-2324 - Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning. 2325-2335 - Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen:
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. 2336-2346 - Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He:
IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation. 2347-2357 - Rupesh Gupta, Guangde Chen, Shipeng Yu:
Internal Promotion Optimization. 2358-2366 - John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler:
Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. 2367-2375 - Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing
Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction. 2376-2384 - Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. 2385-2393 - Seong Jae Hwang
Large-Scale Training Framework for Video Annotation. 2394-2402 - Xiaoyang Ma, Lan Zhang, Lan Xu
Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework. 2403-2411 - Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg:
Learning a Unified Embedding for Visual Search at Pinterest. 2412-2420 - Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha
Learning Sleep Quality from Daily Logs. 2421-2429 - Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. 2430-2438 - Yangli-ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang:
LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction. 2439-2447 - Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover
Machine Learning at Microsoft with ML.NET. 2448-2458 - Megha Srivastava, Hoda Heidari, Andreas Krause:
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. 2459-2468 - Junting Ye, Steven Skiena
MediaRank: Computational Ranking of Online News Sources. 2469-2477 - Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li:
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. 2478-2486 - Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang:
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. 2487-2495 - Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li:
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search. 2509-2517 - Yina Tang, Fedor Borisyuk, Siddarth Malreddy, Yixuan Li, Yiqun Liu, Sergey Kirshner:
MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data. 2518-2526 - Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei
Multi-Horizon Time Series Forecasting with Temporal Attention Learning. 2527-2535 - Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. 2536-2546 - Bhanu Pratap Singh Rawat, Fei Li, Hong Yu:
Naranjo Question Answering using End-to-End Multi-task Learning Model. 2547-2555 - Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy:
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. 2556-2564 - Amol Kapoor, Hunter Larco, Raimondas Kiveris:
Nostalgin: Extracting 3D City Models from Historical Image Data. 2565-2575 - Chuhan Wu
NPA: Neural News Recommendation with Personalized Attention. 2576-2584 - Fanjin Zhang, Xiao Liu
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. 2585-2595 - Yue Weng, Huaixiu Zheng, Franziska Bell, Gökhan Tür:
OCC: A Smart Reply System for Efficient In-App Communications. 2596-2603 - Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. 2604-2612 - Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. 2613-2622 - Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama:
Optuna: A Next-generation Hyperparameter Optimization Framework. 2623-2631 - Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. 2632-2642 - Mathias Kraus
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. 2643-2652 - Jinfeng Zhuang, Yu Liu:
PinText: A Multitask Text Embedding System in Pinterest. 2653-2661 - Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. 2662-2670 - Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. 2671-2679 - Vadim Lebedev, Vladimir Ivashkin
Precipitation Nowcasting with Satellite Imagery. 2680-2688 - Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores:
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. 2689-2697 - Evan Sheehan, Chenlin Meng, Matthew Tan, Burak Uzkent, Neal Jean, Marshall Burke
Predicting Economic Development using Geolocated Wikipedia Articles. 2698-2706 - Takahiro Yabe
Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. 2707-2717 - Ehimwenma Nosakhare, Rosalind W. Picard:
Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being. 2718-2726 - Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. 2727-2735 - Shiwen Zhao, Brandt Westing, Shawn Scully, Heri Nieto, Roman Holenstein, Minwoo Jeong, Krishna Sridhar, Brandon Newendorp, Mike Bastian, Sethu Raman, Tim Paek, Kevin Lynch, Carlos Guestrin:
Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches. 2736-2744 - David Rolnick
Randomized Experimental Design via Geographic Clustering. 2745-2753 - Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi:
Ranking in Genealogy: Search Results Fusion at Ancestry. 2754-2764 - Yudan Liu, Kaikai Ge
Real-time Attention Based Look-alike Model for Recommender System. 2765-2773 - Mateusz Fedoryszak, Brent Frederick, Vijay Rajaram, Changtao Zhong:
Real-time Event Detection on Social Data Streams. 2774-2782 - Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka, Yusuke Fukazawa:
Real-time On-Device Troubleshooting Recommendation for Smartphones. 2783-2791 - Tadashi Okoshi
Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones. 2792-2800 - Nicolas Grislain, Nicolas Perrin, Antoine Thabault:
Recurrent Neural Networks for Stochastic Control in Real-Time Bidding. 2801-2809 - Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. 2810-2818 - Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen:
Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising. 2819-2827 - Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network. 2828-2837 - Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. 2838-2847 - Zhibin Li
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. 2848-2856 - Thien Q. Tran, Jun Sakuma:
Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs. 2857-2866 - Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, Houssam Nassif:
Seeker: Real-Time Interactive Search. 2867-2875 - Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin:
Semantic Product Search. 2876-2885 - Dimitris Spathis
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. 2886-2894 - Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. 2895-2904 - Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. 2905-2913 - Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon:
Shrinkage Estimators in Online Experiments. 2914-2922 - Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider, Danai Koutra:
Smart Roles: Inferring Professional Roles in Email Networks. 2923-2933 - Abhilash Reddy Chenreddy, Parshan Pakiman
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine. 2934-2942 - Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu, Qi He
Social Skill Validation at LinkedIn. 2943-2951 - Farhan Asif Chowdhury, Satomi Suzuki, Abdullah Mueen:
Structured Noise Detection: Application on Well Test Pressure Derivative Data. 2952-2960 - Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar:
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU. 2961-2969 - Rama Kumar Pasumarthi, Sebastian Bruch
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. 2970-2978 - Christian Schön, Jens Dittrich, Richard Müller:
The Error is the Feature: How to Forecast Lightning using a Model Prediction Error. 2979-2988 - Xuan Yin
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis. 2989-2999 - Junting Ye, Steven Skiena:
The Secret Lives of Names?: Name Embeddings from Social Media. 3000-3008 - Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang:
Time-Series Anomaly Detection Service at Microsoft. 3009-3017 - Xiao Zhou, Cecilia Mascolo, Zhongxiang Zhao:
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation. 3018-3028 - Shobha Venkataraman, Jia Wang:
Towards Identifying Impacted Users in Cellular Services. 3029-3039 - Qibin Chen
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. 3040-3050 - Kevin Fauvel, Véronique Masson, Élisa Fromont
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection. 3051-3059 - Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng:
TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme. 3060-3070 - Yasuhisa Suzuki, Wemer M. Wee, Itaru Nishioka:
TV Advertisement Scheduling by Learning Expert Intentions. 3071-3081 - Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. 3082-3092 - Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu
Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. 3093-3101 - Yichao Zhou, Shaunak Mishra, Jelena Gligorijevic, Tarun Bhatia, Narayan Bhamidipati:
Understanding Consumer Journey using Attention based Recurrent Neural Networks. 3102-3111 - Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong:
Understanding the Role of Style in E-commerce Shopping. 3112-3120 - Wei-Hung Weng, Yu-An Chung, Peter Szolovits:
Unsupervised Clinical Language Translation. 3121-3131 - Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. 3132-3142 - Haipeng Chen
Using Twitter to Predict When Vulnerabilities will be Exploited. 3143-3152 - Weicong Ding, Dinesh Govindaraj, S. V. N. Vishwanathan:
Whole Page Optimization with Global Constraints. 3153-3161
Applied Data Science Invited Talks
- Carlos Guestrin:
4 Perspectives in Human-Centered Machine Learning. 3162 - Joseph Bradley:
Addressing Challenges in Data Science: Scale, Skill Sets and Complexity. 3163 - Ashok Srivastava:
AI for Small Businesses and Consumers: Applications and Innovations. 3164 - Hongxia Yang:
AliGraph: A Comprehensive Graph Neural Network Platform. 3165-3166 - Ganesh Thondikulam:
Analytics Journey Map: An Approach Enable to ML at Scale. 3167 - Hassan Sawaf:
Applications of AI/ML in Established and New Industries. 3168 - Kumar Chellapilla:
Building a Better Self-Driving Car: Hardware, Software, and Knowledge. 3169 - Ya Xu:
Data Science Challenges @ LinkedIn. 3170 - Ramakrishna R. Nemani:
Earth Observations from a New Generation of Geostationary Satellites. 3171 - David Heckerman:
Exploiting High Dimensionality in Big Data. 3172 - Paige Maas:
Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery. 3173 - Richard Caruana:
Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning. 3174 - Neel Sundaresan:
From Code to Data: AI at Scale for Developer Productivity. 3175 - Ruslan Salakhutdinov:
Integrating Domain-Knowledge into Deep Learning. 3176 - Olga Liakhovich, Gabriel Domínguez-Conde:
Preventing Rhino Poaching through Machine Learning. 3177 - Rómer Rosales:
Product Ecosystem Optimization at LinkedIn. 3178 - Yinglong Xia:
Roll of Unified Graph Analysis Platforms. 3179 - Elena Grewal:
Seven Years of Data Science at Airbnb. 3180 - Jairam Ranganathan:
Spinning the AI Pinwheel. 3181 - Konstantinos Katsiapis, Kevin Haas:
Towards ML Engineering with TensorFlow Extended (TFX). 3182 - Jieping Ye:
Transportation: A Data Driven Approach. 3183 - Sreenivas Gollapudi:
Welfare Maximization in Online Two-sided Marketplaces. 3184
Tutorials
- Bogdan Cautis, Silviu Maniu
Adaptive Influence Maximization. 3185-3186 - Hsuan-Tien Lin:
Advances in Cost-sensitive Multiclass and Multilabel Classification. 3187-3188 - Xiaolin Shi, Pavel A. Dmitriev, Somit Gupta, Xin Fu:
Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. 3189-3190 - Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han:
Constructing and Mining Heterogeneous Information Networks from Massive Text. 3191-3192 - Xin Luna Dong, Theodoros Rekatsinas
Data Integration and Machine Learning: A Natural Synergy. 3193-3194 - Cao Xiao, Jimeng Sun
Tutorial: Data Mining Methods for Drug Discovery and Development. 3195-3196 - Jen-Tzung Chien
Deep Bayesian Mining, Learning and Understanding. 3197-3198 - Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal:
Deep Natural Language Processing for Search and Recommender Systems. 3199-3200 - Zhiwei (Tony) Qin, Jian Tang, Jieping Ye:
Deep Reinforcement Learning with Applications in Transportation. 3201-3202 - Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in Industry. 3203-3204 - Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. 3205-3206 - Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu:
Fake News Research: Theories, Detection Strategies, and Open Problems. 3207-3208 - Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Theory and Practice. 3209-3210 - Aaditya Ramdas:
Foundations of Large-Scale Sequential Experimentation. 3211-3212 - Dawei Zhou, Jingrui He:
Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation. 3213-3214 - Leonardo Pellegrina
Hypothesis Testing and Statistically-sound Pattern Mining. 3215-3216 - Tina Eliassi-Rad, Rajmonda Sulo Caceres, Timothy LaRock:
Incompleteness in Networks: Biases, Skewed Results, and Some Solutions. 3217-3218 - Boris Kovalerchuk
Interpretable Knowledge Discovery Reinforced by Visual Methods. 3219-3220 - Xiao Huang
Learning From Networks: Algorithms, Theory, and Applications. 3221-3222 - Myra Spiliopoulou, Panagiotis Papapetrou:
Mining and Model Understanding on Medical Data. 3223-3224 - Polina Rozenshtein, Aristides Gionis:
Mining Temporal Networks. 3225-3226 - Junchi Yan, Hongteng Xu, Liangda Li:
Modeling and Applications for Temporal Point Processes. 3227-3228 - Jilles Vreeken
Modern MDL meets Data Mining Insights, Theory, and Practice. 3229-3230 - Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He:
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. 3231-3232 - Pin-Yu Chen, Sijia Liu:
Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning. 3233-3234 - Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri:
Social User Interest Mining: Methods and Applications. 3235-3236 - Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu
Spatio-temporal Event Forecasting and Precursor Identification. 3237-3238 - Charles H. Martin, Michael W. Mahoney:
Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks. 3239-3240 - David C. Anastasiu
Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems. 3241-3242
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