| The Blessings of Multiple Causes Y Wang, DM Blei Journal of the American Statistical Association 114 (528), 1574-1596, 2019 | 350 | 2019 |
| Frequentist Consistency of Variational Bayes Y Wang, DM Blei Journal of the American Statistical Association 114 (527), 1147-1161, 2019 | 283 | 2019 |
| Causal inference for recommender systems Y Wang, D Liang, L Charlin, DM Blei Proceedings of the 14th ACM Conference on Recommender Systems, 426-431, 2020 | 240* | 2020 |
| Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations Y Wang, JR Zubizarreta Biometrika 107 (1), 93-105, 2020 | 154 | 2020 |
| Robust Probabilistic Modeling with Bayesian Data Reweighting Y Wang, A Kucukelbir, DM Blei International Conference on Machine Learning, 3646-3655, 2017 | 120 | 2017 |
| Interventional causal representation learning K Ahuja, D Mahajan, Y Wang, Y Bengio International conference on machine learning, 372-407, 2023 | 116 | 2023 |
| Posterior Collapse and Latent Variable Non-identifiability Y Wang, DM Blei, JP Cunningham Advances in Neural Information Processing Systems, 2021 | 100 | 2021 |
| Using embeddings to correct for unobserved confounding in networks V Veitch, Y Wang, DM Blei Advances in Neural Information Processing Systems, 2019 | 87* | 2019 |
| Desiderata for representation learning: A causal perspective Y Wang, MI Jordan Journal of Machine Learning Research, 2024 | 83 | 2024 |
| Identifiable deep generative models via sparse decoding GE Moran, D Sridhar, Y Wang, D Blei Transactions on Machine Learning Research, 2022 | 77* | 2022 |
| Variational Bayes under Model Misspecification Y Wang, DM Blei Advances in Neural Information Processing Systems, 2019 | 62 | 2019 |
| The Sample Complexity of Online Contract Design B Zhu, S Bates, Z Yang, Y Wang, J Jiao, MI Jordan Proceedings of the 24th ACM Conference on Economics and Computation, 2023 | 59 | 2023 |
| Learning equilibria in matching markets from bandit feedback M Jagadeesan, A Wei, Y Wang, M Jordan, J Steinhardt Advances in Neural Information Processing Systems 34, 3323-3335, 2021 | 54 | 2021 |
| Instrumental variable value iteration for causal offline reinforcement learning L Liao, Z Fu, Z Yang, Y Wang, M Kolar, Z Wang Journal of Machine Learning Research, 2024 | 52 | 2024 |
| Conformal Sensitivity Analysis for Individual Treatment Effects M Yin, C Shi, Y Wang, DM Blei Journal of the American Statistical Association 119 (545), 122-135, 2024 | 47 | 2024 |
| Point process models for sequence detection in high-dimensional neural spike trains AH Williams, A Degleris, Y Wang, SW Linderman Advances in Neural Information Processing Systems, 2020 | 45 | 2020 |
| Anticipating Performativity by Predicting from Predictions C Mendler-Dünner, F Ding, Y Wang Advances in Neural Information Processing Systems, 2022 | 38 | 2022 |
| Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models Y Wang, A Degleris, AH Williams, SW Linderman Journal of the American Statistical Association, 2023 | 35* | 2023 |
| Adjusting for indirectly measured confounding using large-scale propensity score L Zhang, Y Wang, MJ Schuemie, DM Blei, G Hripcsak Journal of biomedical informatics 134, 104204, 2022 | 31 | 2022 |
| A Proxy Variable View of Shared Confounding Y Wang, DM Blei International Conference on Machine Learning, 10697-10707, 2021 | 29* | 2021 |
David BleiProfessor of Statistics and Computer Science, Columbia UniversityE-mail megerősítve itt: columbia.edu