| TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning A Agrawal, A Modi, A Passos, A Lavoie, A Agarwal, A Shankar, I Ganichev, ... Proceedings of Machine Learning and Systems 1, 178-189, 2019 | 61 | 2019 |
| Manipulation among the arbiters of collective intelligence: How Wikipedia administrators mold public opinion S Das, A Lavoie, M Magdon-Ismail ACM Transactions on the Web (TWEB) 10 (4), 1-25, 2016 | 43 | 2016 |
| A Bayesian market maker A Brahma, M Chakraborty, S Das, A Lavoie, M Magdon-Ismail Proceedings of the 13th ACM Conference on Electronic Commerce, 215-232, 2012 | 42 | 2012 |
| The effects of feedback on human behavior in social media: An inverse reinforcement learning model S Das, A Lavoie Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 34 | 2014 |
| Actions are louder than words in social media R Korolov, J Peabody, A Lavoie, S Das, M Magdon-Ismail, W Wallace Proceedings of the 2015 ieee/acm international conference on advances in …, 2015 | 32 | 2015 |
| Instructor rating markets M Chakraborty, S Das, A Lavoie, M Magdon-Ismail, Y Naamad Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 27 | 2013 |
| Predicting charitable donations using social media R Korolov, J Peabody, A Lavoie, S Das, M Magdon-Ismail, W Wallace Social Network Analysis and Mining 6 (1), 1-10, 2016 | 19 | 2016 |
| Automated inference of point of view from user interactions in collective intelligence venues S Das, A Lavoie International Conference on Machine Learning, 82-90, 2014 | 10 | 2014 |
| The perils of classifying political orientation from text H Yan, A Lavoie, S Das LINKDEM@ IJCAI, 2017 | 8 | 2017 |
| The congressional classification challenge: Domain specificity and partisan intensity H Yan, S Das, A Lavoie, S Li, B Sinclair Proceedings of the 2019 ACM Conference on Economics and Computation, 71-89, 2019 | 5 | 2019 |
| TensorFlow Eager: A multi-stage A Agrawal, AN Modi, A Passos, A Lavoie, A Agarwal, A Shankar, ... Python-Embedded DSL for Machine Learning. arXiv eprints, page, 2019 | 5 | 2019 |
| Pushing your point of view: Behavioral measures of manipulation in Wikipedia S Das, A Lavoie, M Magdon-Ismail arXiv preprint arXiv:1111.2092, 2011 | 3 | 2011 |
| History dependent domain adaptation A Lavoie, ME Otey, N Ratliff | 3 | 2011 |
| Social motivation and point of view A Lavoie Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 2 | 2014 |
| How to show a probabilistic model is better M Chakraborty, S Das, A Lavoie arXiv preprint arXiv:1502.03491, 2015 | 1 | 2015 |
| Home Is Where the Up-Votes Are: Behavior Changes in Response to Feedback in Social Media S Das, A Lavoie arXiv preprint arXiv:1406.7738, 2014 | 1 | 2014 |
| ACM EC 2019-PROCEEDINGS OF THE 2019 ACM CONFERENCE ON ECONOMICS AND COMPUTATION D Ivanov, A Nesterov, H Yan, S Das, A Lavoie, S Li, B Sinclair, ... | | 2019 |
| Number of unique Edge-magic total labelings on Path MS Krishnamoorthy, A Lavoie, A Dasdan, B Santosh arXiv preprint arXiv:1402.2878, 2014 | | 2014 |
