KDD2019

会议论文列表

本会议共有 374 篇论文

序号	标题	链接	推荐理由	推荐度	摘要	作者	组织
1		Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction		0		Guorui Zhou, Kun Gai, Qi Pi, Weijie Bian, Xiaoqiang Zhu
2		Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation		0		Fanzhang Peng, Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Xin Lin
3		Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search		0		Donald Metzler, Pan Li, Xuanhui Wang, Zhen Qin
4		Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search		0		Krishnaram Kenthapadi, Sahin Cem Geyik, Stuart Ambler
5		MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search		0		Jiacheng Guo, Miao Fan, Mingming Sun, Ping Li, Shuai Zhu, Shuo Miao
6		Personalized Attraction Enhanced Sponsored Search with Multi-task Learning		0		Beidou Wang, Boxuan Zhang, Guang Qiu, Hongmin Liu, Jiming Chen, Wanxian Guan, Wei Ning, Wei Zhao, Ziyu Guan
7		A User-Centered Concept Mining System for Query and Document Understanding at Tencent		0		Bang Liu, Chaoyue Wang, Di Niu, Jinghong Lin, Kunfeng Lai, Shunnan Xu, Weidong Guo, Yu Xu
8		Fairness in Recommendation Ranking through Pairwise Comparisons		0		Alex Beutel, Cristos Goodrow, Ed H. Chi, Hai Qian, Jilin Chen, Li Wei, Lichan Hong, Lukasz Heldt, Tulsee Doshi, Yi Wu, Zhe Zhao
9		Learning a Unified Embedding for Visual Search at Pinterest		0		Andrew Zhai, Charles Rosenberg, Dong Huk Park, Eric Tzeng, HaoYu Wu
10		Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising		0		Aaron Flores, Alfonso Lobos Ruiz, Junwei Pan, Yizhi Mao, Yu Sun
11		Sequential Scenario-Specific Meta Learner for Online Recommendation		0		Hongxia Yang, Jie Tang, Jingren Zhou, Xiaowei Wang, Zhengxiao Du
12		Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation		0		Cecilia Mascolo, Xiao Zhou, Zhongxiang Zhao
13		Towards Knowledge-Based Personalized Product Description Generation in E-commerce		0		Hongxia Yang, Jie Tang, Jingren Zhou, Junyang Lin, Qibin Chen, Yichang Zhang
14		Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction		0		Haojie Pan, Huan Zhao, Qiang Yang, Vincent W. Zheng, Wenyi Xiao, Yangqiu Song
15		Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination		0		Guihai Chen, Paul Weng, Qitian Wu, Xiaofeng Gao, Yirui Gao
16		Hierarchical Gating Networks for Sequential Recommendation		0		Chen Ma, Peng Kang, Xue Liu
17		Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction		0		Hongliang Fei, Ping Li, Shulong Tan
18		Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings		0		Ahmed Rashed, Josif Grabocka, Lars SchmidtThieme
19		A Deep Generative Approach to Search Extrapolation and Recommendation		0		Di Niu, Fred X. Han, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu
20		AiAds: Automated and Intelligent Advertising System for Sponsored Search		0		Daren Sun, Ruiwei Zhu, Shouke Qin, Tao Deng, Xiao Yang, Yanfeng Zhu, Zhi Guo, Zongyao Ding
21		Applying Deep Learning to Airbnb Search		0		Bradley C. Turnbull, Brendan M. Collins, Huizhong Duan, Malay Haldar, Mustafa Abdool, Nick BarrowWilliams, Prashant Ramanathan, Qing Zhang, Shulin Yang, Tao Xu, Thomas Legrand
22		Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives		0		Hitoshi Iyatomi, Shunsuke Kitada, Yoshifumi Seki
23		Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction		0		Heng Zou, Li Li, Wentao Ouyang, Xin Xing, Xiuwu Zhang, Yanlong Du, Zhaojie Liu
24		DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview		0		Chao Ma, Chen Zhu, Chuan Qin, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong, Jingshuai Zhang, Tong Xu
25		Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System		0		Hao Liu, Hui Xiong, Jianguo Duan, Panpan Zhang, Xinjiang Lu, Yongxin Tong
26		MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data		0		Fedor Borisyuk, Sergey Kirshner, Siddarth Malreddy, Yina Tang, Yiqun Liu, Yixuan Li
27		NPA: Neural News Recommendation with Personalized Attention		0		Chuhan Wu, Fangzhao Wu, Jianqiang Huang, Mingxiao An, Xing Xie, Yongfeng Huang
28		Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching		0		Mathias Kraus, Stefan Feuerriegel
29		POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion		0		Andreas Pfadler, Binqiang Zhao, Chao Li, Cheng Guo, Fei Sun, Huan Zhao, Jiaming Xu, Pipei Huang, Wen Chen, Xin Guo
30		Ranking in Genealogy: Search Results Fusion at Ancestry		0		Azadeh Moghtaderi, Fengjie Alex Li, Gann Bierner, Peng Jiang, Ruhan Wang, Yingrui Yang
31		Deep Natural Language Processing for Search and Recommender Systems		0		BeeChung Chen, Bo Long, Deepak Agarwal, Huiji Gao, Jun Shi, Liang Zhang, Weiwei Guo
32		MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation		0		Hoyeop Lee, Hyunsouk Cho, Jinbae Im, Sehee Chung, Seongwon Jang
33		Enhancing Domain Word Embedding via Latent Semantic Imputation		0		Dantong Yu, Keli Xiao, Shibo Yao
34		Investigating Cognitive Effects in Session-level Search User Satisfaction		0		Jiaxin Mao, Mengyang Liu, Min Zhang, Shaoping Ma, Yiqun Liu
35		Streaming Session-based Recommendation		0		Alexander Zhou, Hongzhi Yin, Lei Guo, Nguyen Quoc Viet Hung, Qinyong Wang, Tong Chen
36		Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners		0		Aleksander Fabijan, Jayant Gupchup, Jeff Omhover, Lukas Vermeer, Pavel A. Dmitriev, Somit Gupta, Wen Qin
37		Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems		0		Dawei Yin, Jiaxing Song, Lixin Zou, Long Xia, Weidong Liu, Zhuoye Ding
38		Semantic Product Search		0		Ankit Shingavi, Bing Yin, Choon Hui Teo, Hao Gu, Priyanka Nigam, Vihan Lakshman, Vijai Mohan, Weitian Allen Ding, Yiwei Song
39		Adversarial Variational Embedding for Robust Semi-supervised Learning		0		Feng Yuan, Lina Yao, Xiang Zhang
40		DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation		0		Bo Du, Donghua Liu, Jing Li, Jun Chang, Rong Gao
41		Coupled Variational Recurrent Collaborative Filtering		0		Qingquan Song, Shiyu Chang, Xia Hu
42		Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation		0		Bin Yao, Christian S. Jensen, Ling Shao, Lisi Chen, Shuo Shang, Zhiwei Zhang
43		Fast Approximation of Empirical Entropy via Subsampling		0		Bailu Ding, Chi Wang
44		Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging		0		Davide Mottin, Emmanuel Müller, Georgia Koutrika, Nikita Klyuchnikov, Panagiotis Karras
45		Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding		0		Hongxia Yang, Jingren Zhou, Ninghao Liu, Qiaoyu Tan, Xia Hu, Yuening Li
46		Tensorized Determinantal Point Processes for Recommendation		0		Jérémie Mary, Mike Gartrell, Romain Warlop
47		TUBE: Embedding Behavior Outcomes for Predicting Success		0		Daheng Wang, Meng Jiang, Nitesh V. Chawla, Tianwen Jiang
48		A Collaborative Learning Framework to Tag Refinement for Points of Interest		0		Airong Jiang, Dongxiang Zhang, Hui Xiong, Jin Xu, Jingbo Zhou, Renjun Hu, Shan Gou, Ying Li
49		AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation		0		Haizhi Yang, Hengjie Song, Tengyun Wang, Xiaoli Tang
50		FDML: A Collaborative Machine Learning Framework for Distributed Features		0		Di Niu, Jianming Yang, Shengping Zhou, Yaochen Hu
51		Infer Implicit Contexts in Real-time Online-to-Offline Recommendation		0		Cheng Xu, Dan Shen, Feng Shi, Jie Tang, Qixia Jiang, Tracy Xiao Liu, Xichen Ding, Yaping Zhang
52		IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation		0		Guang Qiu, Jun Zhao, Wei Ning, Wei Zhao, Xiaofei He, Zhou Zhou, Ziyu Guan
53		MediaRank: Computational Ranking of Online News Sources		0		Junting Ye, Steven Skiena
54		Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation		0		Biyu Ma, Chuan Shi, Junxiong Zhu, Linmei Hu, Shaohua Fan, Xiaotian Han, Yongliang Li
55		PinText: A Multitask Text Embedding System in Pinterest		0		Jinfeng Zhuang, Yu Liu
56		Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior		0		Kota Tsubouchi, Satish V. Ukkusuri, Takahiro Yabe, Toru Shimizu, Yoshihide Sekimoto
57		Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs		0		Jun Sakuma, Thien Q. Tran
58		Foundations of Large-Scale Sequential Experimentation		0		Aaditya Ramdas
59		ADMM for Efficient Deep Learning with Global Convergence		0		Fuxun Yu, Junxiang Wang, Liang Zhao, Xiang Chen
60		A Visual Dialog Augmented Interactive Recommender System		0		Hongxia Jin, Tong Yu, Yilin Shen
61		AutoNE: Hyperparameter Optimization for Massive Network Embedding		0		Jian Pei, Jianxin Ma, Ke Tu, Peng Cui, Wenwu Zhu
62		Contextual Fact Ranking and Its Applications in Table Synthesis and Compression		0		Cong Yu, Dale Markowitz, Flip Korn, Jialu Liu, Silu Huang, Xuezhi Wang, You Wu
63		Effective and Efficient Sports Play Retrieval with Deep Representation Learning		0		Ce Ju, Cheng Long, Gao Cong, Zheng Wang
64		Enhancing Collaborative Filtering with Generative Augmentation		0		Hao Wang, Hongzhi Yin, Lizhen Cui, Qinyong Wang, Quoc Viet Hung Nguyen, Zi Huang
65		Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation		0		Jieping Ye, Qingyang Li, Wenjie Shang, Yang Yu, Yiping Meng, Zhiwei (Tony) Qin
66		EpiDeep: Exploiting Embeddings for Epidemic Forecasting		0		B. Aditya Prakash, Bijaya Adhikari, Naren Ramakrishnan, Xinfeng Xu
67		Exact-K Recommendation via Maximal Clique Optimization		0		Fei Sun, Kenny Q. Zhu, Lu Duan, Qingwen Liu, Wenwu Ou, Yu Gong, Yu Zhu, Ziyu Guan
68		Fighting Opinion Control in Social Networks via Link Recommendation		0		Ambuj K. Singh, Victor Amelkin
69		Hidden POI Ranking with Spatial Crowdsourcing		0		Bin Yao, Kai Zheng, Liwei Deng, Vincent W. Zheng, Yan Zhao, Yue Cui
70		HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings		0		Bruno Ribeiro, Changping Meng, Jennifer Neville, Jiasen Yang
71		Improving the Quality of Explanations with Local Embedding Perturbations		0		Christopher Leckie, James Bailey, Kotagiri Ramamohanarao, Michael E. Houle, Yunzhe Jia
72		Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding		0		Derek Yang, Jiang Bian, Li Zhao, Tao Qin, TieYan Liu, Zhige Li
73		Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories		0		Dongyan Zhao, Ran Le, Rui Yan, Tao Zhang, Xiangliang Zhang, Yang Song
74		KGAT: Knowledge Graph Attention Network for Recommendation		0		Meng Liu, TatSeng Chua, Xiang Wang, Xiangnan He, Yixin Cao
75		Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems		0		Fuzheng Zhang, Hongwei Wang, Jure Leskovec, Mengdi Zhang, Miao Zhao, Wenjie Li, Zhongyuan Wang
76		λOpt: Learn to Regularize Recommender Models in Finer Levels		0		Bei Chen, Chen Gao, JianGuang Lou, Xiangnan He, Yihong Chen, Yong Li, Yue Wang
77		Latent Network Summarization: Bridging Network Embedding and Summarization		0		Anup Rao, Danai Koutra, Di Jin, Eunyee Koh, Ryan A. Rossi, Sungchul Kim
78		Learning Network-to-Network Model for Content-rich Network Embedding		0		Jie Liu, Na Li, Yalou Huang, Zhicheng He
79		Multiple Relational Attention Network for Multi-task Learning		0		Bowen Du, Fuzhen Zhuang, Hui Xiong, Jiejie Zhao, Leilei Sun, Weifeng Lv
80		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		0		Chang Li, Dacheng Tao, Dongjin Song
81		NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching		0		Bin Li, Dingqi Yang, Paolo Rosso, Philippe CudréMauroux
82		OBOE: Collaborative Filtering for AutoML Model Selection		0		Chengrun Yang, Dae Won Kim, Madeleine Udell, Yuji Akimoto
83		PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data		0		Daby Sow, Kenney Ng, Ping Zhang, Sanjoy Dey
84		Paper Matching with Local Fairness Constraints		0		Andrew McCallum, Ari Kobren, Barna Saha
85		Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks		0		Jure Leskovec, Srijan Kumar, Xikun Zhang
86		ProGAN: Network Embedding via Proximity Generative Adversarial Network		0		Heng Huang, Hongchang Gao, Jian Pei
87		Retaining Privileged Information for Multi-Task Learning		0		Cao Xiao, Fei Wang, Fengyi Tang, Jiayu Zhou, LiWei H. Lehman
88		Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning		0		Huanhuan Chen, Jie Cao, Yaqiang Yao
89		Revisiting kd-tree for Nearest Neighbor Search		0		Kaushik Sinha, Parikshit Ram
90		Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding		0		Charu C. Aggarwal, Ian EnHsu Yen, Kun Xu, Liang Zhao, Lingfei Wu, Xi Peng, Yinglong Xia, Zhen Zhang
91		Scalable Graph Embeddings via Sparse Transpose Proximities		0		Yuan Yin, Zhewei Wei
92		Sets2Sets: Learning from Sequential Sets with Neural Networks		0		Haoji Hu, Xiangnan He
93		Sequential Anomaly Detection using Inverse Reinforcement Learning		0		Garud Iyengar, Minhwan Oh
94		Social Recommendation with Optimal Limited Attention		0		Chenghao Liu, Wenwu Zhu, Xin Wang
95		State-Sharing Sparse Hidden Markov Models for Personalized Sequences		0		Chao Zhang, Depeng Jin, Funing Sun, Hongzhi Shi, Quanming Yao, Yong Li
96		Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms		0		Boyang Li, Guoren Wang, Lei Chen, Ye Yuan, Yurong Cheng
97		Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?		0		Handong Zhao, Sheng Li, Sungchul Kim, Vipin Kumar, Xiaowei Jia
98		Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning		0		Pengyang Wang, Xiaolin Li, Yanjie Fu, Yu Zheng, Yunchao Zhang
99		Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts		0		Junheng Hao, Muhao Chen, Wei Wang, Wenchao Yu, Yizhou Sun
100		Adversarial Matching of Dark Net Market Vendor Accounts		0		Kyle Soska, Nicolas Christin, Xiao Hui Tai
101		Anomaly Detection for an E-commerce Pricing System		0		Chao Li, Elham Shaabani, Jagdish Ramakrishnan, Mátyás A. Sustik
102		Auto-Keras: An Efficient Neural Architecture Search System		0		Haifeng Jin, Qingquan Song, Xia Hu
103		Chainer: A Deep Learning Framework for Accelerating the Research Cycle		0		Brian Vogel, Hiroyuki Yamazaki Vincent, Kota Uenishi, Ryosuke Okuta, Seiya Tokui, Shuji Suzuki, Shunta Saito, Takuya Akiba, Toru Ogawa, Yusuke Niitani
104		Carousel Ads Optimization in Yahoo Gemini Native		0		Assaf Singer, Avi Shahar, Baruch Trayvas, Dobri Dobrev, Hadas Vogel, Michal Aharon, Oren Somekh
105		Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning		0		J. Weston Hughes, Kenghao Chang, Ruofei Zhang
106		MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records		0		Fei Wang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Xi Sheryl Zhang
107		Naranjo Question Answering using End-to-End Multi-task Learning Model		0		Bhanu Pratap Singh Rawat, Fei Li, Hong Yu
108		Real-time Attention Based Look-alike Model for Recommender System		0		Kaikai Ge, Leyu Lin, Xu Zhang, Yudan Liu
109		Real-time On-Device Troubleshooting Recommendation for Smartphones		0		Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yusuke Fukazawa, Yuya Tanaka
110		Seeker: Real-Time Interactive Search		0		Ari Biswas, Benjamin Snyder, Houssam Nassif, Michael Vogelsong, Thai T. Pham
111		Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data		0		Cecilia Mascolo, Dimitris Spathis, Jason Rentfrow, Katayoun Farrahi, Sandra Servia Rodríguez
112		TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank		0		Cheng Li, Jan Pfeifer, Marc Najork, Michael Bendersky, Nadav Golbandi, Rama Kumar Pasumarthi, Rohan Anil, Sebastian Bruch, Stephan Wolf, Xuanhui Wang
113		The Secret Lives of Names?: Name Embeddings from Social Media		0		Junting Ye, Steven Skiena
114		Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform		0		Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Meike Zehlike, Tom Sühr
115		Understanding the Role of Style in E-commerce Shopping		0		Aakash Sabharwal, Adam Henderson, Diane Hu, Hao Jiang, Liangjie Hong
116		Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery		0		Paige Maas
117		Seven Years of Data Science at Airbnb		0		Elena Grewal
118		Fake News Research: Theories, Detection Strategies, and Open Problems		0		Huan Liu, Kai Shu, Reza Zafarani, Xinyi Zhou
119		A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets		0		Chenxu Wang, John C. S. Lui, Pinghui Wang, Qiaozhu Zhai, Xiaohong Guan, Yiyan Qi, Yuanming Zhang
120		Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit		0		Chen Fang, Handong Zhao, Longqi Yang, Sheng Li, Yun Fu, Zhaowen Wang, Zhiqiang Tao
121		DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks		0		Guolin Ke, Jia Zhang, Jiang Bian, TieYan Liu, Zhenhui Xu
122		Factorization Bandits for Online Influence Maximization		0		Hongning Wang, Huazheng Wang, Qingyun Wu, Wei Chen, Zhige Li
123		Quantifying Long Range Dependence in Language and User Behavior to improve RNNs		0		Ed H. Chi, Francois Belletti, Minmin Chen
124		Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior		0		Bin Cui, Binqiang Zhao, Lifeng Hua, Long Guo, Rongfei Jia, Xiaobo Wang
125		Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction		0		Chi Chen, Chunxiao Xing, Jiang Bian, Li Zhao, TieYan Liu
126		Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework		0		Ge Chen, Lan Xu, Lan Zhang, Xiaoyang Ma, Yang Wang, Zhengtao Wu, Zhicheng Liu, Zhili Xiao
127		Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics		0		Chao Huang, Chuxu Zhang, Dawei Yin, Jiashu Zhao, Nitesh V. Chawla, Xian Wu, Xuchao Zhang
128		Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data		0		Arnab Nandi, Mohammad Hossein Samavatian, Rajiv Ramnath, Sobhan Moosavi, Srinivasan Parthasarathy
129		Shrinkage Estimators in Online Experiments		0		Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon
130		The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis		0		Liangjie Hong, Xuan Yin
131		Social User Interest Mining: Methods and Applications		0		Ebrahim Bagheri, Fattane Zarrinkalam, Hossein Fani
132		A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health		0		Abhishek Pratap, Brian M. Bot, Elias Chaibub Neto, Lara M. Mangravite, Larsson Omberg, Meghasyam Tummalacherla, Thanneer M. Perumal
133		Adversarial Substructured Representation Learning for Mobile User Profiling		0		Hui Xiong, Pengyang Wang, Xiaolin Li, Yanjie Fu
134		Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning		0		Kunpeng Liu, Le Wu, Pengfei Wang, Rui Bo, Xiaolin Li, Yanjie Fu
135		Deep Landscape Forecasting for Real-time Bidding Advertising		0		Jiarui Qin, Kan Ren, Lei Zheng, Weinan Zhang, Yong Yu, Zhengyu Yang
136		Dual Averaging Method for Online Graph-structured Sparsity		0		Baojian Zhou, Feng Chen, Yiming Ying
137		Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models		0		Dafna Shahaf, Idan Segev, Michael Doron
138		Dynamic Modeling and Forecasting of Time-evolving Data Streams		0		Yasuko Matsubara, Yasushi Sakurai
139		Estimating Graphlet Statistics via Lifting		0		Dmitry Shemetov, James Sharpnack, Kirill Paramonov
140		Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks		0		Andrey Kan, Christos Faloutsos, Namyong Park, Tong Zhao, Xin Luna Dong
141		Learning Class-Conditional GANs with Active Sampling		0		MingKun Xie, ShengJun Huang
142		MinJoin: Efficient Edit Similarity Joins via Local Hash Minima		0		Haoyu Zhang, Qin Zhang
143		Optimizing Peer Learning in Online Groups with Affinities		0		Dong Wei, Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem AmerYahia
144		Pairwise Comparisons with Flexible Time-Dynamics		0		Lucas Maystre, Matthias Grossglauser, Victor Kristof
145		Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions		0		Bonsoo Koo, Souhaib Ben Taieb
146		Relation Extraction via Domain-aware Transfer Learning		0		Lei Chen, Shimin Di, Yanyan Shen
147		Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering		0		Huan Sun, Jie Zhao, Ziyu Guan
148		Scaling Multi-Armed Bandit Algorithms		0		Edouard Fouché, Junpei Komiyama, Klemens Böhm
149		Sherlock: A Deep Learning Approach to Semantic Data Type Detection		0		Arvind Satyanarayan, César A. Hidalgo, Emanuel Zgraggen, Kevin Zeng Hu, Madelon Hulsebos, Michiel A. Bakker, Tim Kraska, Çagatay Demiralp
150		Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units		0		Prathamesh Deshpande, Sunita Sarawagi
151		150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com		0		Lucas Bernardi, Pablo Estevez, Themistoklis Mavridis
152		Bid Optimization by Multivariable Control in Display Advertising		0		Di Wu, Hao Wang, Jian Xu, Kun Gai, Qing Tan, Xun Yang, Yasong Li
153		Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat		0		Lucas Pierce, Xiang Ren, Xiaolin Shi, Yozen Liu
154		Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting		0		Bin Wang, Guangquan Zhang, Huaishao Luo, Jie Lu, Tianrui Li, Yu Zheng, Zheng Yan
155		DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Imagery		0		Menghong Feng, Prashant J. Shenoy, Srinivasan Iyengar, Stephen Lee, Subhransu Maji
156		Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams		0		Alessio Signorini, Andrew Trister, Belle L. Tseng, Filip Jankovic, Han Hee Song, Hyun Joon Jung, Jie Shen, Lampros Kourtis, Luca Foschini, Marc Sunga, Melissa Pugh, Nikki Marinsek, Richard Chen, Roy Yaari, Vera Maljkovic
157		Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft		0		Ashley Davies, Cynthia A. Phillips, Gary Doran, Ingrid Daubar, Kiri L. Wagstaff, Marissa Cameron, Saadat Anwar, Srija Chakraborty
158		Estimating Cellular Goals from High-Dimensional Biological Data		0		Bernhard O. Palsson, JeanChristophe Lachance, José Bento, Laurence Yang, Michael A. Saunders
159		Feedback Shaping: A Modeling Approach to Nurture Content Creation		0		Chun Lo, Shaunak Chatterjee, Ye Tu, Yiping Yuan
160		Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences		0		Jiafan Ou, Stephanie deWet
161		Hard to Park?: Estimating Parking Difficulty at Scale		0		Andrew Miller, Andrew Tomkins, HuaiJen Liang, Ivan Kuznetsov, Iveel Tsogsuren, James Cook, Neha Arora, Ravi Kumar, Yechen Li, Yi Wang
162		Improving Subseasonal Forecasting in the Western U.S. with Machine Learning		0		Jessica Hwang, Judah Cohen, Karl Pfeiffer, Lester Mackey, Paulo Orenstein
163		Large-Scale Training Framework for Video Annotation		0		Apostol Natsev, Ariel Gordon, Balakrishnan Varadarajan, Joonseok Lee, Seong Jae Hwang, Zheng Xu
164		Machine Learning at Microsoft with ML.NET		0		Abhishek Goswami, Artidoro Pagnoni, Gal Oshri, Gani Nazirov, Gleb Krivosheev, Ivan Matantsev, Jignesh Parmar, Justin Ormont, Markus Weimer, Matteo Interlandi, Mikhail Bilenko, Mohammad Zeeshan Siddiqui, Monte Hoover, Najeeb Kazmi, Pete Luferenko, Prabhat Roy, Rogan Carr, Saeed Amizadeh, Scott Inglis, Senja Filipi, Sergiy Matusevych, Shahab Moradi, Shauheen Zahirazami, Tom Finley, Vadim Eksarevskiy, WeiSheng Chin, Xavier Dupré, Yael Dekel, Yiwen Zhu, Zeeshan Ahmed
165		Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning		0		Andreas Krause, Hoda Heidari, Megha Srivastava
166		MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games		0		Changjie Fan, Jianrong Tao, Jianshi Lin, Peng Cui, Runze Wu, Sha Zhao, Shize Zhang
167		OAG: Toward Linking Large-scale Heterogeneous Entity Graphs		0		Bin Shao, Fanjin Zhang, Jie Tang, Jie Zhang, Kuansan Wang, Peiran Yao, Rui Li, Xiao Liu, Xiaotao Gu, Yan Wang, Yuxiao Dong
168		Online Amnestic DTW to allow Real-Time Golden Batch Monitoring		0		Amirali Darvishzadeh, ChinChia Michael Yeh, Eamonn J. Keogh, Hoang Anh Dau, Mikhail Noskov, Yan Zhu
169		Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being		0		Ehimwenma Nosakhare, Rosalind W. Picard
170		Real-time Event Detection on Social Data Streams		0		Brent Frederick, Changtao Zhong, Mateusz Fedoryszak, Vijay Rajaram
171		Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones		0		Hideyuki Tokuda, Kota Tsubouchi, Tadashi Okoshi
172		Recurrent Neural Networks for Stochastic Control in Real-Time Bidding		0		Antoine Thabault, Nicolas Grislain, Nicolas Perrin
173		Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising		0		Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen
174		Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points		0		Christina Kirsch, Jian Zhang, Jinfeng Yi, Qiang Wu, Yongshun Gong, Zhibin Li
175		Towards Identifying Impacted Users in Cellular Services		0		Jia Wang, Shobha Venkataraman
176		Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection		0		Alexandre Termier, Kevin Fauvel, Philippe Faverdin, Véronique Masson, Élisa Fromont
177		TV Advertisement Scheduling by Learning Expert Intentions		0		Itaru Nishioka, Wemer M. Wee, Yasuhisa Suzuki
178		Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena		0		Chengxi Zang, Lei Li, Linyun Yu, Peng Cui, Renzhe Xu, Wenwu Zhu, Yihao Liu, Yunfei Lu
179		Using Twitter to Predict When Vulnerabilities will be Exploited		0		Haipeng Chen, Noseong Park, Rui Liu, V. S. Subrahmanian
180		4 Perspectives in Human-Centered Machine Learning		0		Carlos Guestrin
181		Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning		0		Richard Caruana
182		Preventing Rhino Poaching through Machine Learning		0		Gabriel DomínguezConde, Olga Liakhovich
183		Integrating Domain-Knowledge into Deep Learning		0		Ruslan Salakhutdinov
184		Product Ecosystem Optimization at LinkedIn		0		Rómer Rosales
185		From Code to Data: AI at Scale for Developer Productivity		0		Neel Sundaresan
186		Welfare Maximization in Online Two-sided Marketplaces		0		Sreenivas Gollapudi
187		Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments		0		Pavel A. Dmitriev, Somit Gupta, Xiaolin Shi, Xin Fu
188		Data Integration and Machine Learning: A Natural Synergy		0		Theodoros Rekatsinas, Xin Luna Dong
189		Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned		0		Ben Hutchinson, Emre Kiciman, Krishnaram Kenthapadi, Margaret Mitchell, Sarah Bird
190		Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation		0		Dawei Zhou, Jingrui He
191		Incompleteness in Networks: Biases, Skewed Results, and Some Solutions		0		Rajmonda Sulo Caceres, Timothy LaRock, Tina EliassiRad
192		Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning		0		PinYu Chen, Sijia Liu
193		Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks		0		Charles H. Martin, Michael W. Mahoney
194		A Free Energy Based Approach for Distance Metric Learning		0		Carl Tony Fakhry, Kourosh Zarringhalam, Rahul V. Kulkarni, Sho Inaba
195		A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction		0		Hengshu Zhu, Hui Xiong, Keli Xiao, Le Zhang, Qingxin Meng
196		The Unreasonable Effectiveness, and Difficulty, of Data in Healthcare		0		Peter Lee
197		Do Simpler Models Exist and How Can We Find Them?		0		Cynthia Rudin
198		A Representation Learning Framework for Property Graphs		0		Changji Li, Hongzhi Chen, James Cheng, MingChang Yang, Yifan Hou
199		A Multiscale Scan Statistic for Adaptive Submatrix Localization		0		Ery AriasCastro, Yuchao Liu
200		Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability		0		DaWei Zhou, DeChuan Zhan, Hui Xiong, Yang Yang, Yuan Jiang
201		A Minimax Game for Instance based Selective Transfer Learning		0		Bo Wang, Bo Zheng, Deng Cai, Jingren Zhou, Jun Huang, Minghui Qiu, Xiaoyi Zeng, Xisen Wang, Yaliang Li, Yu Gong
202		Adaptive Graph Guided Disambiguation for Partial Label Learning		0		DengBao Wang, Li Li, MinLing Zhang
203		Adversarial Learning on Heterogeneous Information Networks		0		Binbin Hu, Chuan Shi, Yuan Fang
204		Adaptive Unsupervised Feature Selection on Attributed Networks		0		Chenghao Liu, Huan Liu, Jundong Li, Ruocheng Guo
205		Adaptive-Halting Policy Network for Early Classification		0		Cansu Sen, Elke A. Rundensteiner, Thomas Hartvigsen, Xiangnan Kong
206		Adversarially Robust Submodular Maximization under Knapsack Constraints		0		Dmitrii Avdiukhin, Grigory Yaroslavtsev, Samson Zhou, Slobodan Mitrovic
207		Assessing The Factual Accuracy of Generated Text		0		Ben Goodrich, Mohammad Saleh, Peter J. Liu, Vinay Rao
208		Auditing Data Provenance in Text-Generation Models		0		Congzheng Song, Vitaly Shmatikov
209		AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization		0		Cong Fu, Deng Cai, Xiang Ren, Yonghui Zhang
210		Attribute-Driven Backbone Discovery		0		Hanchao Ma, Sheng Guan, Yinghui Wu
211		Certifiable Robustness and Robust Training for Graph Convolutional Networks		0		Daniel Zügner, Stephan Günnemann
212		Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks		0		ChoJui Hsieh, Samy Bengio, Si Si, WeiLin Chiang, Xuanqing Liu, Yang Li
213		Axiomatic Interpretability for Multiclass Additive Models		0		Paul Koch, Rich Caruana, Sarah Tan, Urszula Chajewska, Xuezhou Zhang, Yin Lou
214		Clustering without Over-Representation		0		Alessandro Epasto, Mohammad Mahdian, Ravi Kumar, Sara Ahmadian
215		Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network		0		Bowen Du, Hui Xiong, Junchen Ye, Leilei Sun, Xinran Tong, Yanjie Fu
216		Conditional Random Field Enhanced Graph Convolutional Neural Networks		0		Heng Huang, Hongchang Gao, Jian Pei
217		Coresets for Minimum Enclosing Balls over Sliding Windows		0		KianLee Tan, Yanhao Wang, Yuchen Li
218		Contrastive Antichains in Hierarchies		0		Anes Bendimerad, Céline Robardet, Jefrey Lijffijt, Marc Plantevit, Tijl De Bie
219		Deep Anomaly Detection with Deviation Networks		0		Anton van den Hengel, Chunhua Shen, Guansong Pang
220		CoSTCo: A Neural Tensor Completion Model for Sparse Tensors		0		Hanpeng Liu, Michael Tsang, Yaguang Li, Yan Liu
221		DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification		0		Jiejun Xu, Jingrui He, Jun Wu
222		Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information		0		Hiroyuki Toda, Maya Okawa, Naonori Ueda, Takeshi Kurashima, Tomoharu Iwata, Yusuke Tanaka
223		dEFEND: Explainable Fake News Detection		0		Dongwon Lee, Huan Liu, Kai Shu, Limeng Cui, Suhang Wang
224		Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction		0		JingHan Wu, MinLing Zhang
225		Dynamical Origins of Distribution Functions		0		Chengxi Zang, Fei Wang, Peng Cui, Wenwu Zhu
226		EdMot: An Edge Enhancement Approach for Motif-aware Community Detection		0		ChangDong Wang, JianHuang Lai, Ling Huang, PeiZhen Li
227		Efficient Global String Kernel with Random Features: Beyond Counting Substructures		0		Charu C. Aggarwal, Ian EnHsu Yen, Kun Xu, Liang Ma, Liang Zhao, Lingfei Wu, Shouling Ji, Siyu Huo
228		Efficient and Effective Express via Contextual Cooperative Reinforcement Learning		0		Qiang Yang, Yexin Li, Yu Zheng
229		Efficient Maximum Clique Computation over Large Sparse Graphs		0		Lijun Chang
230		ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data		0		Daniel Kifer, Jiawei Wen, Songshan Yang, Xiang Zhan
231		Exploiting Cognitive Structure for Adaptive Learning		0		Chuanren Liu, Enhong Chen, Haiping Ma, Hongke Zhao, Qi Liu, Shijin Wang, Shiwei Tong
232		Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach		0		Bryan Hooi, Christos Faloutsos, Kijung Shin, Minji Yoon
233		Fates of Microscopic Social Ecosystems: Keep Alive or Dead?		0		Chengxi Zang, Haoyang Li, Peng Cui, Tianyang Zhang, Wenwu Zhu, Yishi Lin
234		GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization		0		Jiayu Zhou, Panos Kalnis, Peilin Zhao, Peng Han, Peng Yang, Shuo Shang, Xin Gao, Yong Liu
235		Focused Context Balancing for Robust Offline Policy Evaluation		0		Boqi Chen, Hao Zou, Kun Kuang, Peixuan Chen, Peng Cui
236		Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space		0		Amr Ahmed, Andrew McCallum, Daniel Silva, Manzil Zaheer, Nicholas Monath
237		Graph Convolutional Networks with EigenPooling		0		Charu C. Aggarwal, Jiliang Tang, Suhang Wang, Yao Ma
238		Graph Recurrent Networks With Attributed Random Walks		0		Qingquan Song, Xia Hu, Xiao Huang, Yuening Li
239		Graph Transformation Policy Network for Chemical Reaction Prediction		0		Kien Do, Svetha Venkatesh, Truyen Tran
240		Graph Representation Learning via Hard and Channel-Wise Attention Networks		0		Hongyang Gao, Shuiwang Ji
241		Graph-based Semi-Supervised & Active Learning for Edge Flows		0		Austin R. Benson, Junteng Jia, Michael T. Schaub, Santiago Segarra
242		Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications		0		Arpan Man Sainju, Zhe Jiang
243		GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data		0		Chandra Sekhar Sripada, Danai Koutra, Eric Solarz, Jiong Zhu, Marlena Duda, Yujun Yan
244		Heterogeneous Graph Neural Network		0		Ananthram Swami, Chao Huang, Chuxu Zhang, Dongjin Song, Nitesh V. Chawla
245		Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts		0		Aidong Zhang, Guangxu Xun, Kishlay Jha, Yaqing Wang
246		Identifiability of Cause and Effect using Regularized Regression		0		Alexander Marx, Jilles Vreeken
247		Interpretable and Steerable Sequence Learning via Prototypes		0		Huamin Qu, Liu Ren, Panpan Xu, Yao Ming
248		Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis		0		Linpeng Huang, Weiyu Cheng, Yanmin Zhu, Yanyan Shen
249		Isolation Set-Kernel and Its Application to Multi-Instance Learning		0		BiCun Xu, Kai Ming Ting, ZhiHua Zhou
250		K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters		0		ChengLong Wang, Feiping Nie, Xuelong Li
251		Learning from Incomplete and Inaccurate Supervision		0		Peng Zhao, Yuan Jiang, Zhenyu Zhang, ZhiHua Zhou
252		Learning Dynamic Context Graphs for Predicting Social Events		0		Huzefa Rangwala, Songgaojun Deng, Yue Ning
253		Link Prediction with Signed Latent Factors in Signed Social Networks		0		Bo Du, Jia Wu, Pinghua Xu, Wenbin Hu
254		Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining		0		Ichiro Takeuchi, Masayuki Karasuyama, Tomoki Yoshida
255		MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network		0		Defu Lian, Dongfang Du, Enhong Chen, Han Wu, Hao Wang, Qi Liu, Tong Xu, Wen Su
256		Modeling Dwell Time Engagement on Visual Multimedia		0		Hemank Lamba, Neil Shah
257		Modeling Extreme Events in Time Series Prediction		0		Daizong Ding, Mi Zhang, Min Yang, Xiangnan He, Xudong Pan
258		Mining Algorithm Roadmap in Scientific Publications		0		Hanwen Zha, Keqian Li, Wenhu Chen, Xifeng Yan
259		Network Density of States		0		Austin R. Benson, David Bindel, Kun Dong
260		On Dynamic Network Models and Application to Causal Impact		0		Avleen S. Bijral, Juan Lavista Ferres, YuChia Chen
261		Optimizing Impression Counts for Outdoor Advertising		0		Ping Zhang, Songsong Mo, Yipeng Zhang, Yuchen Li, Zhifeng Bao
262		Off-policy Learning for Multiple Loggers		0		Dawei Yin, Li He, Long Xia, Wei Zeng, Yihong Zhao, ZhiMing Ma
263		Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling		0		Hongxu Chen, Hongzhi Yin, Jie Xu, Kai Zheng, Tianyu Wo, Yuandong Wang
264		PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network		0		Chacha Chen, Guanjie Zheng, Hua Wei, Kai Xu, Kan Wu, Vikash V. Gayah, Zhenhui Li
265		Predicting Path Failure In Time-Evolving Graphs		0		Hong Cheng, Jia Li, Jianfeng Zhang, Jiao Su, Lujia Pan, Pengyun Wang, Zhichao Han
266		PrivPy: General and Scalable Privacy-Preserving Data Mining		0		Wei Xu, Yi Li
267		QuesNet: A Unified Representation for Heterogeneous Test Questions		0		Enhong Chen, Qi Liu, Shijin Wang, Wei Tong, Yu Su, Yu Yin, Zhenya Huang
268		Representation Learning for Attributed Multiplex Heterogeneous Network		0		Hongxia Yang, Jianwei Zhang, Jie Tang, Jingren Zhou, Xu Zou, Yukuo Cen
269		Robust Graph Convolutional Networks Against Adversarial Attacks		0		Dingyuan Zhu, Peng Cui, Wenwu Zhu, Ziwei Zhang
270		Scaling Multinomial Logistic Regression via Hybrid Parallelism		0		Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan, Shin Matsushima, Sriram Srinivasan, Xinhua Zhang
271		Scalable Hierarchical Clustering with Tree Grafting		0		Akshay Krishnamurthy, Andrew McCallum, Ari Kobren, Michael R. Glass, Nicholas Monath
272		Separated Trust Regions Policy Optimization Method		0		Luobao Zou, Weidong Zhang, Xuechun Wang, Yin Cheng, Zhiwei Zhuang
273		Significance of Patterns in Data Visualisations		0		Andreas Henelius, Emilia Oikarinen, Kai Puolamäki, Rafael Savvides
274		Stability and Generalization of Graph Convolutional Neural Networks		0		Saurabh Verma, ZhiLi Zhang
275		SPuManTE: Significant Pattern Mining with Unconditional Testing		0		Fabio Vandin, Leonardo Pellegrina, Matteo Riondato
276		SurfCon: Synonym Discovery on Privacy-Aware Clinical Data		0		Huan Sun, Simon M. Lin, Soheil Moosavinasab, Xiang Yue, Yungui Huang, Zhen Wang
277		Task-Adversarial Co-Generative Nets		0		Hanghang Tong, Jingrui He, Pei Yang, Qi Tan
278		Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning		0		Bin Gu, Haiyan Chen, Heng Huang, Jian Pei, Kunpeng Ning, Shuyang Yu
279		Testing Dynamic Incentive Compatibility in Display Ad Auctions		0		Sébastien Lahaie, Yuan Deng
280		The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach		0		Fuzhen Zhuang, Hengshu Zhu, Hui Xiong, Qing He, Xin Song, Ying Sun
281		The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model		0		Bing Qin, Meng Jiang, Nitesh V. Chawla, Tianwen Jiang, Ting Liu, Tong Zhao
282		Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios		0		Giovanna Vantini, Sanjay Chawla, Stefano Giovanni Rizzo
283		Uncovering Pattern Formation of Information Flow		0		Chaoming Song, Chengxi Zang, Fei Wang, Peng Cui, Wenwu Zhu
284		Training and Meta-Training Binary Neural Networks with Quantum Computing		0		Abdulah Fawaz, Paul Klein, Peter Mountney, Sebastien Piat, Simone Severini
285		Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning		0		Junbo Zhang, Weifeng Wang, Yong Yu, Yu Zheng, Yuxuan Liang, Zheyi Pan
286		A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry		0		Jia Zeng, Lei Chen, Lei Chen, Mingxuan Yuan, Xialiang Tong
287		A Generalized Framework for Population Based Training		0		Ang Li, Chenjie Gu, David Budden, Max Jaderberg, Ola Spyra, Pramod Gupta, Sagi Perel, Tim Harley, Valentin Dalibard
288		A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR		0		Faisal Farooq, Prithwish Chakraborty
289		A Deep Value-network Based Approach for Multi-Driver Order Dispatching		0		Fan Zhang, Hongtu Zhu, Jieping Ye, Xiaocheng Tang, Yintai Ma, Zhaodong Wang, Zhe Xu, Zhiwei (Tony) Qin
290		A Severity Score for Retinopathy of Prematurity		0		Deniz Erdogmus, Jayashree KalpathyCramer, Jennifer G. Dy, John Peter Campbell, Michael F. Chiang, Peng Tian, Stratis Ioannidis, Susan Ostmo, Yuan Guo
291		A Unified Framework for Marketing Budget Allocation		0		Cheng Yang, Huan Xu, Junhao Hua, Kui Zhao, Ling Yan, Qi Zhang
292		Active Deep Learning for Activity Recognition with Context Aware Annotator Selection		0		H. M. Sajjad Hossain, Nirmalya Roy
293		Actions Speak Louder than Goals: Valuing Player Actions in Soccer		0		Jan Van Haaren, Jesse Davis, Lotte Bransen, Tom Decroos
294		AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018		0		Jianqiang Huang, Ke Hu, Peng Zhang, Xue Li, Zhipeng Luo
295		Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning		0		Alireza Aliamiri, Anand Avati, Andrew Y. Ng, Awni Y. Hannun, Maxime Voisin, Yichen Shen
296		AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks		0		Jingyuan Wang, Junjie Wu, Ke Tang, Yang Zhang, Zhang Xiong
297		Automatic Dialogue Summary Generation for Customer Service		0		Chunyi Liu, Jiang Xu, Jieping Ye, Peng Wang, Zang Li
298		AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications		0		Hao Zhou, Mengshuo Wang, Qiang Yang, Quanming Yao, WeiWei Tu, Wenyuan Dai, Yuanfei Luo, Yuqiang Chen
299		Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study		0		Chang Liu, Dawn Song, Neil Zhenqiang Gong, Qi Li, Yong Cui, Zenghua Xia
300		Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration		0		Christo Kirov, Katharine Donato, Kornraphop Kawintiranon, Laila Wahedi, Lisa Singh, Susan Martin, Yaguang Liu, Yanchen Wang, Yifang Wei
301		Constructing High Precision Knowledge Bases with Subjective and Factual Attributes		0		Ari Kobren, Ian Langmore, Johann Hibschman, Oksana Yakhnenko, Pablo Barrio
302		Community Detection on Large Complex Attribute Network		0		Aixin Sun, Chen Zhe, Xiaokui Xiao
303		Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy		0		Artur Mrowca, Elizabeth Ren, HansAndrea Loeliger, JanPhilipp Schulze, Konstantin Böttinger
304		DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data		0		Anthony Sicilia, Kirk Goldsberry, Konstantinos Pelechrinis
305		DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events		0		Dou Huang, KyoungSook Kim, Renhe Jiang, Ryosuke Shibasaki, Tianqi Xia, Xiaoya Song, Xuan Song, Zekun Cai, Zhaonan Wang
306		Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA		0		Daewon Chung, Myeong Shin Lee, Okchul Jung, Sangyup Lee, Shahroz Tariq, Simon S. Woo, Youjin Shin
307		Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition		0		Anil R. Yelundur, Bamdev Mishra, Vineet Chaoji
308		E.T.-RNN: Applying Deep Learning to Credit Loan Applications		0		Alexander Tuzhilin, Dmitrii Babaev, Dmitrii Umerenkov, Maxim Savchenko
309		Dynamic Pricing for Airline Ancillaries with Customer Context		0		Arinbjörn Kolbeinsson, Kartik Yellepeddi, Ken Otwell, Lavanya Marla, Naman Shukla
310		FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging		0		Doyen Sahoo, EePeng Lim, Hung Le, Palakorn Achananuparp, Shu Ke, Steven C. H. Hoi, Wang Hao, Xiongwei Wu
311		Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression		0		Hiroshi Murata, Jing Wang, Kenji Yamanishi, Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Yuhui Zheng
312		Gmail Smart Compose: Real-Time Assisted Writing		0		Andrew M. Dai, Benjamin N. Lee, Gagan Bansal, Jackie Tsay, Justin Lu, Mia Xu Chen, Shuyuan Zhang, Timothy Sohn, Yinan Wang, Yonghui Wu, Yuan Cao, Zhifeng Chen
313		How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction		0		Eduard C. Dragut, Lihong He, Shanshan Zhang, Slobodan Vucetic
314		Internal Promotion Optimization		0		Guangde Chen, Rupesh Gupta, Shipeng Yu
315		Investigate Transitions into Drug Addiction through Text Mining of Reddit Data		0		George O. Mohler, John Lu, Mohammad Al Hasan, Ritika Pandey, Sumati Sridhar
316		IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery		0		Alok N. Choudhary, Ankit Agrawal, Christopher Wolverton, Dipendra Jha, Ian T. Foster, Logan T. Ward, Weikeng Liao, Zijiang Yang
317		Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data		0		Amit Sharma, Bistra Dilkina, Bryan Wilder, Jackson A. Killian, Milind Tambe, Vinod Choudhary
318		Learning Sleep Quality from Daily Logs		0		Cheng Hsu, ChengTe Li, Meeyoung Cha, Sang Won Lee, Sungkyu Park, Sungwon Han
319		LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction		0		Dong Zheng, Lei Jiang, Liangtao Xu, Qingyong Li, Tianyang Lin, Weitao Lyu, Wen Yao, Yangliao Geng, Yijun Zhang
320		Multi-Horizon Time Series Forecasting with Temporal Attention Learning		0		Chenyou Fan, Chi Zhang, Di Wu, Heng Huang, Jian Pei, Rong Yuan, Wensheng Wang, Xiaoyue Li, Yi Pan, Yuze Zhang
321		Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction		0		Auroop R. Ganguly, Jennifer G. Dy, Junxiang Chen, Yumin Liu
322		Nostalgin: Extracting 3D City Models from Historical Image Data		0		Amol Kapoor, Hunter Larco, Raimondas Kiveris
323		OCC: A Smart Reply System for Efficient In-App Communications		0		Franziska Bell, Gökhan Tür, Huaixiu Zheng, Yue Weng
324		Optuna: A Next-generation Hyperparameter Optimization Framework		0		Masanori Koyama, Shotaro Sano, Takeru Ohta, Takuya Akiba, Toshihiko Yanase
325		Precipitation Nowcasting with Satellite Imagery		0		Alexander Ganshin, Alexander Molchanov, Dmitry Solomentsev, Irina Rudenko, Ivan Bushmarinov, Ruslan Grokhovetskiy, Sergey Ovcharenko, Vadim Lebedev, Vladimir Ivashkin
326		Predicting Economic Development using Geolocated Wikipedia Articles		0		Burak Uzkent, Chenlin Meng, David B. Lobell, Evan Sheehan, Marshall Burke, Matthew Tan, Neal Jean, Stefano Ermon
327		Pythia: AI-assisted Code Completion System		0		Alexey Svyatkovskiy, Neel Sundaresan, Shengyu Fu, Ying Zhao
328		Randomized Experimental Design via Geographic Clustering		0		Amir Najmi, David Rolnick, Jean PougetAbadie, Kevin Aydin, Shahab Kamali, Vahab S. Mirrokni
329		Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches		0		Brandon Newendorp, Brandt Westing, Carlos Guestrin, Heri Nieto, Kevin Lynch, Krishna Sridhar, Mike Bastian, Minwoo Jeong, Roman Holenstein, Sethu Raman, Shawn Scully, Shiwen Zhao, Tim Paek
330		Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement		0		Hao Li, Liang Sun, Ming Lin, Qi Qian, Rong Jin, Shenghuo Zhu, Xiaomin Song
331		Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network		0		Chenhao Niu, Dan Pei, Rong Liu, Wei Sun, Ya Su, Youjian Zhao
332		Smart Roles: Inferring Professional Roles in Email Networks		0		Danai Koutra, Di Jin, Lindsay Snider, Mark Heimann, Mengdi Wang, Tara Safavi, Wei Lee
333		SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine		0		Abhilash Reddy Chenreddy, Parshan Pakiman, Ranganathan Chandrasekaran, Rick Abens, Selvaprabu Nadarajah
334		Structured Noise Detection: Application on Well Test Pressure Derivative Data		0		Abdullah Mueen, Farhan Asif Chowdhury, Satomi Suzuki
335		Social Skill Validation at LinkedIn		0		Jaewon Yang, Joey Bai, Lin Zhu, Mikhail Obukhov, Qi He, Shiqi Wu, Xiao Yan
336		Temporal Probabilistic Profiles for Sepsis Prediction in the ICU		0		Denis Klimov, Eitam Sheetrit, Nir Nissim, Yuval Shahar
337		The Error is the Feature: How to Forecast Lightning using a Model Prediction Error		0		Christian Schön, Jens Dittrich, Richard Müller
338		Time-Series Anomaly Detection Service at Microsoft		0		Bixiong Xu, Chao Yi, Congrui Huang, Hansheng Ren, Jie Tong, Mao Yang, Qi Zhang, Tony Xing, Xiaoyu Kou, Yujing Wang
339		TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme		0		Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng, Zheyi Pan
340		Understanding Consumer Journey using Attention based Recurrent Neural Networks		0		Jelena Gligorijevic, Narayan Bhamidipati, Shaunak Mishra, Tarun Bhatia, Yichao Zhou
341		UrbanFM: Inferring Fine-Grained Urban Flows		0		David S. Rosenblum, Junbo Zhang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Yu Zheng, Yuxuan Liang
342		Unsupervised Clinical Language Translation		0		Peter Szolovits, WeiHung Weng, YuAn Chung
343		Whole Page Optimization with Global Constraints		0		Dinesh Govindaraj, S. V. N. Vishwanathan, Weicong Ding
344		Addressing Challenges in Data Science: Scale, Skill Sets and Complexity		0		Joseph Bradley
345		AI for Small Businesses and Consumers: Applications and Innovations		0		Ashok Srivastava
346		Applications of AI/ML in Established and New Industries		0		Hassan Sawaf
347		Analytics Journey Map: An Approach Enable to ML at Scale		0		Ganesh Thondikulam
348		AliGraph: A Comprehensive Graph Neural Network Platform		0		Hongxia Yang
349		Data Science Challenges @ LinkedIn		0		Ya Xu
350		Building a Better Self-Driving Car: Hardware, Software, and Knowledge		0		Kumar Chellapilla
351		Exploiting High Dimensionality in Big Data		0		David Heckerman
352		Earth Observations from a New Generation of Geostationary Satellites		0		Ramakrishna R. Nemani
353		Roll of Unified Graph Analysis Platforms		0		Yinglong Xia
354		Spinning the AI Pinwheel		0		Jairam Ranganathan
355		Towards ML Engineering with TensorFlow Extended (TFX)		0		Kevin Haas, Konstantinos Katsiapis
356		Transportation: A Data Driven Approach		0		Jieping Ye
357		Adaptive Influence Maximization		0		Bogdan Cautis, Nikolaos Tziortziotis, Silviu Maniu
358		Advances in Cost-sensitive Multiclass and Multilabel Classification		0		HsuanTien Lin
359		Constructing and Mining Heterogeneous Information Networks from Massive Text		0		Jiaming Shen, Jiawei Han, Jingbo Shang, Liyuan Liu
360		Tutorial: Data Mining Methods for Drug Discovery and Development		0		Cao Xiao, Jimeng Sun
361		Deep Reinforcement Learning with Applications in Transportation		0		Jian Tang, Jieping Ye, Zhiwei (Tony) Qin
362		Deep Bayesian Mining, Learning and Understanding		0		JenTzung Chien
363		Explainable AI in Industry		0		Ankur Taly, Krishna Gade, Krishnaram Kenthapadi, Sahin Cem Geyik, Varun Mithal
364		Hypothesis Testing and Statistically-sound Pattern Mining		0		Fabio Vandin, Leonardo Pellegrina, Matteo Riondato
365		Forecasting Big Time Series: Theory and Practice		0		Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Valentin Flunkert, Yuyang Wang
366		Interpretable Knowledge Discovery Reinforced by Visual Methods		0		Boris Kovalerchuk
367		Learning From Networks: Algorithms, Theory, and Applications		0		Fei Wang, Hongxia Yang, Huan Liu, Jian Pei, Jie Tang, Jundong Li, Le Song, Peng Cui, Wenwu Zhu, Xiao Huang, Yuxiao Dong
368		Mining and Model Understanding on Medical Data		0		Myra Spiliopoulou, Panagiotis Papapetrou
369		Modern MDL meets Data Mining Insights, Theory, and Practice		0		Jilles Vreeken, Kenji Yamanishi
370		Mining Temporal Networks		0		Aristides Gionis, Polina Rozenshtein
371		Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching		0		Fenglong Ma, Jing Gao, Jingrui He, Yao Zhou
372		Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems		0		Andrea Tagarelli, David C. Anastasiu, Huzefa Rangwala
373		Spatio-temporal Event Forecasting and Precursor Identification		0		ChangTien Lu, Feng Chen, Huzefa Rangwala, Liang Zhao, Yue Ning
374		Modeling and Applications for Temporal Point Processes		0		Hongteng Xu, Junchi Yan, Liangda Li