| 2019 | Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. | Souhaib Ben Taieb, Bonsoo Koo |
| 2019 | Pythia: AI-assisted Code Completion System. | Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan |
| 2019 | TV Advertisement Scheduling by Learning Expert Intentions. | Yasuhisa Suzuki, Wemer M. Wee, Itaru Nishioka |
| 2019 | Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network. | Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei |
| 2019 | The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. | Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong |
| 2019 | SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding. | Baohua Sun, Lin Yang, Michael Lin, Charles Young, Patrick Dong, Wenhan Zhang, Jason Dong |
| 2019 | System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. | Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng |
| 2019 | From Code to Data: AI at Scale for Developer Productivity. | Neel Sundaresan |
| 2019 | Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. | Tom Shr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty |
| 2019 | Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs. | Eric V. Strobl |
| 2019 | Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. | Megha Srivastava, Hoda Heidari, Andreas Krause |
| 2019 | AI for Small Businesses and Consumers: Applications and Innovations. | Ashok Srivastava |
| 2019 | Mining and Model Understanding on Medical Data. | Myra Spiliopoulou, Panagiotis Papapetrou |
| 2019 | Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. | Dimitris Spathis, Sandra Servia Rodrguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow |
| 2019 | Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers. | Sandeep Soni, Shawn Ling Ramirez, Jacob Eisenstein |
| 2019 | Auditing Data Provenance in Text-Generation Models. | Congzheng Song, Vitaly Shmatikov |
| 2019 | Coupled Variational Recurrent Collaborative Filtering. | Qingquan Song, Shiyu Chang, Xia Hu |
| 2019 | Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration. | Lisa Singh, Laila Wahedi, Yanchen Wang, Yifang Wei, Christo Kirov, Susan Martin, Katharine M. Donato, Yaguang Liu, Kornraphop Kawintiranon |
| 2019 | DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data. | Anthony Sicilia, Konstantinos Pelechrinis, Kirk Goldsberry |
| 2019 | Dynamic Pricing for Airline Ancillaries with Customer Context. | Naman Shukla, Arinbjrn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi |
| 2019 | dEFEND: Explainable Fake News Detection. | Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu |
| 2019 | State-Sharing Sparse Hidden Markov Models for Personalized Sequences. | Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin |
| 2019 | Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. | Xiaolin Shi, Pavel A. Dmitriev, Somit Gupta, Xin Fu |
| 2019 | Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. | Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng |
| 2019 | Temporal Probabilistic Profiles for Sepsis Prediction in the ICU. | Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar |