| Everyone's an influencer: Quantifying influence on Twitter E Bakshy, JM Hofman, WA Mason, DJ Watts Proceedings of the 4th ACM international conference on Web search and data …, 2011 | 2315 | 2011 |
| Exposure to ideologically diverse news and opinion on Facebook E Bakshy, S Messing, L Adamic Science 348 (6239), 1130-1132, 2015 | 2055 | 2015 |
| The role of social networks in information diffusion E Bakshy, I Rosenn, C Marlow, L Adamic Proceedings of the 21st international conference on World Wide Web, 519-528, 2012 | 1625 | 2012 |
| Knowledge sharing and Yahoo answers: Everyone knows something LA Adamic, J Zhang, E Bakshy, MS Ackerman Proceeding of the 17th international conference on World Wide Web, 665-674, 2008 | 1004 | 2008 |
| Quantifying the invisible audience in social networks MS Bernstein, E Bakshy, M Burke, B Karrer Proceedings of the ACM SIGCHI Conference on Human Factors in Computing …, 2013 | 406 | 2013 |
| Social influence and the diffusion of user-created content E Bakshy, B Karrer, LA Adamic Proceedings of the 10th ACM conference on Electronic commerce, 325-334, 2009 | 405 | 2009 |
| Social influence in social advertising: Evidence from field experiments E Bakshy, D Eckles, R Yan, I Rosenn Proceedings of the 13th ACM Conference on Electronic Commerce, 146-161, 2012 | 301 | 2012 |
| Designing and deploying online field experiments E Bakshy, D Eckles, MS Bernstein Proceedings of the 23rd international conference on World wide web, 283-292, 2014 | 165 | 2014 |
| Center of attention: How facebook users allocate attention across friends L Backstrom, E Bakshy, J Kleinberg, TM Lento, I Rosenn Proc. 5th International Conference on Weblogs and Social Media, 2011 | 109 | 2011 |
| Constrained Bayesian optimization with noisy experiments B Letham, B Karrer, G Ottoni, E Bakshy Bayesian Analysis 14 (2), 495-519, 2019 | 102 | 2019 |
| Estimating peer effects in networks with peer encouragement designs D Eckles, RF Kizilcec, E Bakshy Proceedings of the National Academy of Sciences 113 (27), 7316-7322, 2016 | 81 | 2016 |
| Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 US presidential election JJ Jones, RM Bond, E Bakshy, D Eckles, JH Fowler PloS one 12 (4), e0173851, 2017 | 78 | 2017 |
| BoTorch: A framework for efficient Monte-Carlo Bayesian optimization M Balandat, B Karrer, D Jiang, S Daulton, B Letham, AG Wilson, E Bakshy Advances in Neural Information Processing Systems 33, 2020 | 57* | 2020 |
| Scalable meta-learning for bayesian optimization using ranking-weighted gaussian process ensembles M Feurer, B Letham, E Bakshy AutoML Workshop at ICML 7, 2018 | 48* | 2018 |
| Uncertainty in online experiments with dependent data: An evaluation of bootstrap methods E Bakshy, D Eckles Proceedings of the 19th ACM SIGKDD conference on knowledge discovery and …, 2013 | 47 | 2013 |
| Bias and high-dimensional adjustment in observational studies of peer effects D Eckles, E Bakshy Journal of the American Statistical Association, 1-30, 2020 | 43 | 2020 |
| Modeling the transition to public school choice S Maroulis, E Bakshy, L Gomez, U Wilensky Journal of Artificial Societies and Social Simulation 17 (2), 3, 2014 | 30 | 2014 |
| The social dynamics of economic activity in a virtual world E Bakshy, MP Simmons, DA Huffaker, CY Teng, LA Adamic Proc. of 4th International AAAI Conference on Weblogs and Social Media, 2010 | 28 | 2010 |
| Selection effects in online sharing: Consequences for peer adoption S Taylor, E Bakshy, S Aral Proceedings of the 14th ACM Conference on Electronic Commerce, 2013 | 26 | 2013 |
| Real-world video adaptation with reinforcement learning H Mao, S Chen, D Dimmery, S Singh, D Blaisdell, Y Tian, M Alizadeh, ... NeurIPS Workshop on Deep Reinforcement Learning, 2019 | 18 | 2019 |
Lada AdamicComputational Social Scientist at FacebookVerified email at umich.edu
