KDD 2019: all accepted papers
- Fairness-Aware Machine Learning ↗Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi et al.7 citations
- HATS ↗Changping Meng, Jiasen Yang, Bruno Ribeiro et al.7 citations
- Nostalgin ↗Amol Kapoor, Hunter Larco, Raimondas Kiveris7 citations
- Optimizing the Wisdom of the Crowd ↗Yao Zhou, Fenglong Ma, Jing Gao et al.7 citations
- Raise to Speak ↗Shiwen Zhao, Brandt Westing, Shawn Ryan Scully et al.7 citations
- Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units ↗Prathamesh Deshpande, Sunita Sarawagi7 citations
- A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry ↗Lei Chen, Xialiang Tong, Mingxuan Yuan et al.6 citations
- Attribute-Driven Backbone Discovery ↗Sheng Uei Guan, Hanchao Ma, Yinghui Wu6 citations
- Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments ↗Xiaolin Shi, Pavel Dmitriev, Somit Gupta et al.6 citations
- Contrastive Antichains in Hierarchies ↗Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit et al.6 citations
- Friends Don't Let Friends Deploy Black-Box Models ↗Richard A. Caruana6 citations
- Integrating Domain-Knowledge into Deep Learning ↗Ruslan Salakhutdinov6 citations
- Off-policy Learning for Multiple Loggers ↗He Li, Long Xia, Wei Zeng et al.6 citations
- Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising ↗Achir Kalra, Chong Wang, Cristian Borcea et al.6 citations
- Seeker ↗Ari Biswas, Thai T Pham, Michael Vogelsong et al.6 citations
- Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning ↗Shuyang Yu, Bin Gu, Kun-Peng Ning et al.6 citations
- Constructing and Mining Heterogeneous Information Networks from Massive Text ↗Jingbo Shang, Jiaming Shen, Liyuan Liu et al.5 citations
- Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition ↗Anil R. Yelundur, Vineet S. Chaoji, Bamdev Mishra5 citations
- Figuring out the User in a Few Steps ↗Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika et al.5 citations
- PerDREP ↗Sanjoy Dey, Ping Zhang, Daby Sow et al.5 citations
- Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks ↗Charles H. Martin, Michael W. Mahoney5 citations
- Task-Adversarial Co-Generative Nets ↗Pei Yang, Qi Tan, Hanghang Tong et al.5 citations
- A Free Energy Based Approach for Distance Metric Learning ↗Sho Inaba, Carl Tony Fakhry, Rahul Kulkarni et al.4 citations
- A Multiscale Scan Statistic for Adaptive Submatrix Localization ↗Yuchao Liu, Ery Arias-castro A4 citations
- Carousel Ads Optimization in Yahoo Gemini Native ↗Michal Aharon, Oren Somekh, Avi Shahar et al.4 citations
- Data Integration and Machine Learning ↗Dong Xin, Theodoros Rekatsinas4 citations
- Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models ↗Michael Doron, Idan Segev, Dafna Shahaf4 citations
- Enhancing Domain Word Embedding via Latent Semantic Imputation ↗Shibo Yao, Dantong Yu, Keli Xiao4 citations
- Feedback Shaping ↗Ye Tu, Chun Lo, Yiping Yuan et al.4 citations
- Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings ↗Ahmed Nabih Zaki Rashed, Josif Grabocka, Lars Schmidt-Thieme4 citations
- Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning ↗Pin‐Yu Chen, Sijia Liu4 citations
- Separated Trust Regions Policy Optimization Method ↗Luobao Zou, Zhiwei Zhuang, Yin Cheng et al.4 citations
- TV Advertisement Scheduling by Learning Expert Intentions ↗Yasuhisa Suzuki, Wemer M. Wee, Itaru Nishioka4 citations
- Towards Identifying Impacted Users in Cellular Services ↗Shobha Venkataraman, Jia Wang4 citations
- Context by Proxy ↗Jan-Philipp Schulze, Artur Mrowca, Elizabeth Ren et al.3 citations
- Foundations of Large-Scale Sequential Experimentation ↗Aaditya Ramdas3 citations
- From Code to Data ↗Neel Sundaresan3 citations
- Large-Scale Training Framework for Video Annotation ↗Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan et al.3 citations
- Mining and Model Understanding on Medical Data ↗Myra Spiliopoulou, Panagiotis Papapetrou3 citations
- Modern MDL meets Data Mining Insights, Theory, and Practice ↗Jilles Vreeken, Kenji Yamanishi3 citations
- SMOILE ↗Abhilash Reddy Chenreddy, Parshan Pakiman, Selvaprabu Nadarajah et al.3 citations
- The Unreasonable Effectiveness, and Difficulty, of Data in Healthcare ↗Peter N. Lee3 citations
- Transportation ↗Jieping Ye3 citations
- Tutorial ↗Cao Xiao, Jimeng Sun3 citations
- Uncovering Pattern Formation of Information Flow ↗Chengxi Zang, Peng Cui, Chaoming Song et al.3 citations
- Advances in Cost-sensitive Multiclass and Multilabel Classification ↗Hsuan-Tien Lin2 citations
- Efficient Global String Kernel with Random Features ↗Lingfei Wu, Ian En-Hsu Yen, Siyu Huo et al.2 citations
- Estimating Cellular Goals from High-Dimensional Biological Data ↗Laurence Yang, Michael A. Saunders, Jean‐Christophe Lachance et al.2 citations
- Gold Panning from the Mess ↗Dawei Zhou, Jingrui He2 citations
- Incompleteness in Networks ↗Tina Eliassi‐Rad, Rajmonda S. Caceres, Timothy LaRock2 citations
- Internal Promotion Optimization ↗Rupesh Gupta, Guangde Chen, Shipeng Yu2 citations
- Interpretable Knowledge Discovery Reinforced by Visual Methods ↗Boris Kovalerchuk2 citations
- Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data — An Application to Climate Prediction ↗Yumin Liu, Junxiang Chen, Auroop Ratan Ganguly et al.2 citations
- Personalized Attraction Enhanced Sponsored Search with Multi-task Learning ↗Wei Zhong Zhao, Boxuan Zhang, Beidou Wang et al.2 citations
- Ranking in Genealogy ↗Peng Jiang, Yingrui Yang, Gann Bierner et al.2 citations
- Structured Noise Detection ↗Farhan Asif Chowdhury, Satomi Suzuki, Abdullah Mueen2 citations
- Tutorial: Are You My Neighbor? ↗David C. Anastasiu, Huzefa Rangwala, Andrea Tagarelli2 citations
- AI for Small Businesses and Consumers ↗Ashok N. Srivastava1 citation
- Addressing Challenges in Data Science ↗Joseph K. Bradley1 citation
- Building a Better Self-Driving Car ↗Kumar Chellapilla A1 citation
- Learning From Networks ↗Xiao Xia Huang, Peng Cui, Yuxiao Dong et al.1 citation
- On Dynamic Network Models and Application to Causal Impact ↗Yu‐Chia Chen, Avleen S. Bijral, Juan Lavista Ferres1 citation
- 4 Perspectives in Human-Centered Machine Learning ↗Carlos Guestrin
- Analytics Journey Map ↗Ganesh Thondikulam
- Data Science Challenges @ LinkedIn ↗YA NAN XU
- Earth Observations from a New Generation of Geostationary Satellites ↗Ramakrishna Nemani
- Exploiting High Dimensionality in Big Data ↗David E. Heckerman
- Preventing Rhino Poaching through Machine Learning ↗Olga Liakhovich, Gabriel Domínguez Conde
- Roll of Unified Graph Analysis Platforms ↗Yinglong Xia
- Seven Years of Data Science at Airbnb ↗Elena Grewal
- Spinning the AI Pinwheel ↗Jairam Ranganathan
- Welfare Maximization in Online Two-sided Marketplaces ↗Sreenivas Gollapudi
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