| The case for learned index structures T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis Proceedings of the 2018 International Conference on Management of Data, 489-504, 2018 | 458 | 2018 |
| Recurrent recommender networks CY Wu, A Ahmed, A Beutel, AJ Smola, H Jing Proceedings of the tenth ACM international conference on web search and data …, 2017 | 457 | 2017 |
| Copycatch: stopping group attacks by spotting lockstep behavior in social networks A Beutel, W Xu, V Guruswami, C Palow, C Faloutsos Proceedings of the 22nd international conference on World Wide Web, 119-130, 2013 | 324 | 2013 |
| Data decisions and theoretical implications when adversarially learning fair representations A Beutel, J Chen, Z Zhao, EH Chi arXiv preprint arXiv:1707.00075, 2017 | 214 | 2017 |
| Latent Cross: Making Use of Context in Recurrent Recommender Systems A Beutel, P Covington, S Jain, C Xu, J Li, V Gatto, EH Chi Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 189 | 2018 |
| Fraudar: Bounding graph fraud in the face of camouflage B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 187 | 2016 |
| Catchsync: catching synchronized behavior in large directed graphs M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 171 | 2014 |
| Winner takes all: competing viruses or ideas on fair-play networks BA Prakash, A Beutel, R Rosenfeld, C Faloutsos Proceedings of the 21st international conference on World Wide Web, 1037-1046, 2012 | 140 | 2012 |
| Interacting viruses in networks: can both survive? A Beutel, BA Prakash, R Rosenfeld, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 139 | 2012 |
| Top-k off-policy correction for a REINFORCE recommender system M Chen, A Beutel, P Covington, S Jain, F Belletti, EH Chi Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 135 | 2019 |
| FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop A Beutel, A Kumar, EE Papalexakis, PP Talukdar, C Faloutsos, EP Xing SDM 2, 521-536, 2014 | 123 | 2014 |
| Fairness in Recommendation Ranking through Pairwise Comparisons A Beutel, J Chen, T Doshi, H Qian, L Wei, Y Wu, L Heldt, Z Zhao, L Hong, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 115 | 2019 |
| Sagedb: A learned database system T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ... CIDR, 2019 | 105* | 2019 |
| Birdnest: Bayesian inference for ratings-fraud detection B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ... Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016 | 100 | 2016 |
| Spotting suspicious link behavior with fbox: An adversarial perspective N Shah, A Beutel, B Gallagher, C Faloutsos 2014 IEEE International Conference on Data Mining, 959-964, 2014 | 99 | 2014 |
| Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... arXiv preprint arXiv:2011.03395, 2020 | 90 | 2020 |
| Inferring strange behavior from connectivity pattern in social networks M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Pacific-Asia conference on knowledge discovery and data mining, 126-138, 2014 | 90 | 2014 |
| Counterfactual fairness in text classification through robustness S Garg, V Perot, N Limtiaco, A Taly, EH Chi, A Beutel Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 219-226, 2019 | 89 | 2019 |
| A General Suspiciousness Metric for Dense Blocks in Multimodal Data M Jiang, A Beutel, P Cui, B Hooi, S Yang, C Faloutsos Proceedings of IEEE International Conference on Data Mining (ICDM), 2015 | 85 | 2015 |
| Catching synchronized behaviors in large networks: A graph mining approach M Jiang, P Cui, A Beutel, C Faloutsos, S Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 1-27, 2016 | 71 | 2016 |
Ed H. ChiGoogle Research / Google BrainEmail verificata su acm.org
