| Anomaly detection in bitcoin network using unsupervised learning methods T Pham, S Lee arXiv preprint arXiv:1611.03941, 2016 | 172 | 2016 |
| Estimating average treatment effects: Supplementary analyses and remaining challenges S Athey, G Imbens, T Pham, S Wager American Economic Review 107 (5), 278-281, 2017 | 113 | 2017 |
| Anomaly detection in the bitcoin system-a network perspective T Pham, S Lee arXiv preprint arXiv:1611.03942, 2016 | 89 | 2016 |
| Determinants of smallholder farmers' marketing channel choice: evidence from the Vietnamese rice sector TT Pham, L Theuvsen, V Otter Asian Economic Journal 33 (3), 281-300, 2019 | 29 | 2019 |
| A deep causal inference approach to measuring the effects of forming group loans in online non-profit microfinance platform TT Pham, Y Shen arXiv preprint arXiv:1706.02795, 2017 | 19 | 2017 |
| Seeker: Real-Time Interactive Search A Biswas, TT Pham, M Vogelsong, B Snyder, H Nassif KDD, 2019 | 15 | 2019 |
| Low latency anomaly detection and bayesian network prediction of anomaly likelihood D Farren, T Pham, M Alban-Hidalgo arXiv preprint arXiv:1611.03898, 2016 | 11 | 2016 |
| Anomaly detection in bitcoin network using unsupervised learning methods. arXiv 2016 T Pham, S Lee arXiv preprint arXiv:1611.03941, 0 | 9 | |
| Anomaly detection in Bitcoin network using unsupervised learning methods. arXiv T Pham, S Lee Learning, 2016 | 8 | 2016 |
| Anomaly detection in bitcoin network using unsupervised learning methods (2016) T Pham, S Lee arXiv preprint arXiv:1611.03941, 2016 | 7 | 2016 |
| Anomaly detection in the bitcoin system-a network perspective. arXiv T Pham, S Lee arXiv preprint arXiv:1611.03942, 2017 | 5 | 2017 |
| Anomaly detection in the bitcoin system—a network perspective (2016) T Pham, S Lee arXiv preprint arXiv:1611.03942, 2016 | 5 | 2016 |
| Determinants of specialty rice adoption by smallholder farmers in the Red River Delta of Vietnam TT Pham, L Theuvsen GlobalFood Discussion Papers, 2017 | 4 | 2017 |
| The Supervised Learning Approach To Estimating Heterogeneous Causal Regime Effects T Pham Stanford Graduate School of Business, Technical Report, 2016 | 3 | 2016 |
| Balancing Method for High Dimensional Causal Inference T Pham arXiv preprint arXiv:1702.04473, 2017 | 2 | 2017 |
| Unsupervised Learning For Effective User Engagement on Social Media T Pham, C Simoiu arXiv preprint arXiv:1611.03894, 2016 | 2 | 2016 |
| Specialty rice adoption, collective action and marketing channel choice: insights from Vietnam TT Pham Georg-August-Universität Göttingen, 2016 | 2 | 2016 |
| The Instrumental Variable Method for Estimating Local Average Treatment Regime Effects T Pham, W Chen arXiv preprint arXiv:1611.03545, 2016 | 1 | 2016 |
| Dirichlet’s Theorem on Arithmetic Progressions T Pham | 1 | 2012 |
| Large Scale Causal Inference with Machine Learning T Pham Stanford Ph.D. Thesis, 2017 | | 2017 |
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