| Should we treat data as labor? Moving beyond “free” I Arrieta-Ibarra, L Goff, D Jiménez-Hernández, J Lanier, EG Weyl aea Papers and Proceedings 108, 38-42, 2018 | 222 | 2018 |
| Should we treat data as labor? Moving beyond'free' IA Ibarra SSRN, 2017 | 46 | 2017 |
| Crowd research: Open and scalable university laboratories R Vaish, SNS Gaikwad, G Kovacs, A Veit, R Krishna, I Arrieta Ibarra, ... Proceedings of the 30th Annual ACM Symposium on User Interface Software and …, 2017 | 39 | 2017 |
| Metrics of calibration for probabilistic predictions I Arrieta-Ibarra, P Gujral, J Tannen, M Tygert, C Xu Journal of Machine Learning Research 23 (351), 1-54, 2022 | 17 | 2022 |
| Should We Treat Data as Labor? Moving Beyond'Free' I Arrieta Ibarra, L Goff, D Jiménez Hernández, J Lanier, EG Weyl Moving Beyond'Free'(December 27, 2017). American Economic Association Papers …, 2017 | 12 | 2017 |
| Testing for predictability in financial returns using statistical learning procedures I Arrieta‐ibarra, IN Lobato Journal of Time Series Analysis 36 (5), 672-686, 2015 | 11 | 2015 |
| Investigating the" wisdom of crowds" at scale A Shankar Mysore, VS Yaligar, I Arrieta Ibarra, C Simoiu, S Goel, R Arvind, ... Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface …, 2015 | 4 | 2015 |
| An empirical study of the value of data I Arrieta-Ibarra, T Caruso, DJ Hernández, EG Weyl Mimeo, 2020 | 2 | 2020 |
| A Personalized BDM Mechanism for Efficient Market Intervention Experiments I Arrieta-Ibarra, J Ugander Proceedings of the 2018 ACM Conference on Economics and Computation, 463-480, 2018 | 2 | 2018 |
| Angrier birds: Bayesian reinforcement learning IA Ibarra, B Ramos, L Roemheld arXiv preprint arXiv:1601.01297, 2016 | 1 | 2016 |
| Essays on Artificial Intelligence in Personalized Markets I Arrieta-Ibarra Stanford University, 2020 | | 2020 |
