Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges D Simester, A Timoshenko, SI Zoumpoulis Management Science, 2018 | 125 | 2018 |
Efficiently evaluating targeting policies: Improving on champion vs. challenger experiments D Simester, A Timoshenko, SI Zoumpoulis Management Science 66 (8), 3412-3424, 2020 | 51 | 2020 |
The value of field experiments JQ Li, P Rusmevichientong, D Simester, JN Tsitsiklis, SI Zoumpoulis Management science 61 (7), 1722-1740, 2015 | 37 | 2015 |
On decentralized detection with partial information sharing among sensors OP Kreidl, JN Tsitsiklis, SI Zoumpoulis IEEE Transactions on Signal Processing 59 (4), 1759-1765, 2010 | 23 | 2010 |
Coordination with local information MA Dahleh, A Tahbaz-Salehi, JN Tsitsiklis, SI Zoumpoulis Operations Research 64 (3), 622-637, 2016 | 17 | 2016 |
Right-protected data publishing with provable distance-based mining SI Zoumpoulis, M Vlachos, NM Freris, C Lucchese IEEE Transactions on knowledge and data engineering 26 (8), 2014-2028, 2013 | 13 | 2013 |
Quantifying the benefits of targeting for pandemic response S Camelo, DF Ciocan, DA Iancu, XS Warnes, SI Zoumpoulis medRxiv, 2021.03. 23.21254155, 2021 | 8 | 2021 |
On global games in social networks of information exchange M Dahleh, A Tahbaz-Salehi, JN Tsitsiklis, SI Zoumpoulis Working paper, 2012 | 8 | 2012 |
Optimal pricing and introduction timing of technology upgrades in subscription-based services IA Kash, PB Key, SI Zoumpoulis Operations Research 71 (2), 665-687, 2023 | 7 | 2023 |
The effect of drone strikes on civilian communication: evidence from Yemen F Christia, SI Zoumpoulis, M Freedman, L Yao, A Jadbabaie Political Science Research and Methods 10 (2), 419-427, 2022 | 7 | 2022 |
Run field experiments to make sense of your big data S Zoumpoulis, D Simester, T Evgeniou Harvard Business Review, 2015 | 7 | 2015 |
Coordination with local information M Dahleh, A TahbazSalehi, JN Tsitsiklis, SI Zoumpoulis ACM SIGMETRICS Performance Evaluation Review 41 (4), 29-29, 2014 | 5 | 2014 |
Decentralized Detection in Sensor Network Architectures with Feedback SI Zoumpoulis MIT, 2009 | 5 | 2009 |
Expected value of information methods for contextual ranking and selection: clinical trials and simulation optimization A Alban, SE Chick, SI Zoumpoulis 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 4 | 2021 |
A sample size calculation for training and certifying targeting policies D Simester, A Timoshenko, SI Zoumpoulis MIT Sloan Research Paper, 2022 | 3 | 2022 |
Learning personalized treatment strategies with predictive and prognostic covariates in adaptive clinical trials A Alban, SE Chick, SI Zoumpoulis INSEAD Working Paper, 2022 | 3 | 2022 |
Networks, Decisions, and Outcomes: Coordination with Local Information and the Value of Temporal Data for Learning Influence Networks SI Zoumpoulis MIT, 2014 | 3 | 2014 |
The value of temporal data for learning of influence networks MA Dahleh, JN Tsitsiklis, SI Zoumpoulis Working paper, 2014 | 3 | 2014 |
The value of temporal data for learning of influence networks: A characterization via Kullback-Leibler divergence MA Dahleh, JN Tsitsiklis, SI Zoumpoulis 2015 54th IEEE Conference on Decision and Control (CDC), 2907-2912, 2015 | 2 | 2015 |
The Value of Temporally Richer Data for Learning of Influence Networks. MA Dahleh, JN Tsitsiklis, SI Zoumpoulis WINE, 322-323, 2014 | 2 | 2014 |