| Estimation of causal peer influence effects P Toulis, E Kao International conference on machine learning, 1489-1497, 2013 | 160 | 2013 |
| Asymptotic and finite-sample properties of estimators based on stochastic gradients P Toulis, EM Airoldi Annals of Statistics 45 (4), 1694-1727, 2017 | 129* | 2017 |
| Randomization tests of causal effects under interference GW Basse, A Feller, P Toulis Biometrika 106 (2), 487-494, 2019 | 87* | 2019 |
| Statistical analysis of stochastic gradient methods for generalized linear models P Toulis, E Airoldi, J Rennie Journal of Machine Learning Research 32, 667–675, 2014 | 71 | 2014 |
| Towards stability and optimality in stochastic gradient descent P Toulis, D Tran, EM Airoldi Proceedings of the 19th Intl Conference on AI and Statistics (AISTATS) 51, 2016 | 64* | 2016 |
| Convergence diagnostics for stochastic gradient descent with constant learning rate J Chee, P Toulis International Conference on Artificial Intelligence and Statistics, 1476-1485, 2018 | 59* | 2018 |
| Scalable estimation strategies based on stochastic approximations: classical results and new insights P Toulis, EM Airoldi Statistics and computing 25, 781-795, 2015 | 50 | 2015 |
| Friends with faces: How social networks can enhance face recognition and vice versa N Mavridis, W Kazmi, P Toulis Computational Social Network Analysis: Trends, Tools and Research Advances …, 2010 | 48 | 2010 |
| Design and analysis of multi-hospital kidney exchange mechanisms using random graphs P Toulis, DC Parkes Games and Economic Behavior 91, 360 - 382, 2015 | 47 | 2015 |
| A random graph model of kidney exchanges: efficiency, individual-rationality and incentives P Toulis, DC Parkes Proceedings of the 12th ACM conference on Electronic commerce, 323-332, 2011 | 40 | 2011 |
| The proximal Robbins-Monro method P Toulis, T Horel, EM Airoldi Journal of the Royal Statistical Society Series B 83 (1), 188-212, 2021 | 34* | 2021 |
| Stochastic Gradient Methods for Principled Estimation with Large Datasets P Toulis, EM Airoldi Handbook of Big Data, 241, 2016 | 33* | 2016 |
| Randomization tests in observational studies with staggered adoption of treatment AM Shaikh, P Toulis Journal of the American Statistical Association 116 (536), 1835-1848, 2021 | 31 | 2021 |
| Mertacor: a successful autonomous trading agent P Toulis, D Kehagias, PA Mitkas Proceedings of the fifth international joint conference on Autonomous agents …, 2006 | 31 | 2006 |
| FaceBots: Steps towards enhanced long-term human-robot interaction by utilizing and publishing online social information N Mavridis, M Petychakis, A Tsamakos, P Toulis, S Emami, W Kazmi, ... Paladyn, Journal of Behavioral Robotics 1 (3), 169-178, 2010 | 29 | 2010 |
| A graph-theoretic approach to randomization tests of causal effects under general interference D Puelz, G Basse, A Feller, P Toulis Journal of the Royal Statistical Society Series B 84 (1), 174-204, 2022 | 22 | 2022 |
| Estimation of COVID-19 Prevalence from Serology Tests: A Partial Identification Approach P Toulis Journal of Econometrics 220 (1), 193-213, 2020 | 20 | 2020 |
| Causal estimation of peer influence effects E Kao, P Toulis, E Airoldi, DB Rubin Proceedings of the NIPS Workshop on Social Network and Social Media Analysis, 2012 | 18 | 2012 |
| A long-term profit seeking strategy for continuous double auctions in a trading agent competition D Kehagias, P Toulis, P Mitkas Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006 …, 2006 | 16 | 2006 |
| Minimax designs for causal effects in temporal experiments with treatment habituation GW Basse, Y Ding, P Toulis Biometrika 110 (1), 155-168, 2023 | 14* | 2023 |
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
