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Yixin Wang
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Cited by
Year
The Blessings of Multiple Causes
Y Wang, DM Blei
Journal of the American Statistical Association 114 (528), 1574-1596, 2019
3172019
Frequentist Consistency of Variational Bayes
Y Wang, DM Blei
Journal of the American Statistical Association 114 (527), 1147-1161, 2019
2542019
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
201*2020
Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
Y Wang, JR Zubizarreta
Biometrika 107 (1), 93-105, 2020
1312020
Robust Probabilistic Modeling with Bayesian Data Reweighting
Y Wang, A Kucukelbir, DM Blei
International Conference on Machine Learning, 3646-3655, 2017
1052017
Using embeddings to correct for unobserved confounding in networks
V Veitch, Y Wang, DM Blei
Advances in Neural Information Processing Systems, 2019
78*2019
Interventional causal representation learning
K Ahuja, D Mahajan, Y Wang, Y Bengio
International conference on machine learning, 372-407, 2023
752023
Posterior Collapse and Latent Variable Non-identifiability
Y Wang, DM Blei, JP Cunningham
Advances in Neural Information Processing Systems, 2021
702021
Desiderata for representation learning: A causal perspective
Y Wang, MI Jordan
arXiv preprint arXiv:2109.03795, 2021
642021
Identifiable deep generative models via sparse decoding
GE Moran, D Sridhar, Y Wang, D Blei
Transactions on Machine Learning Research, 2022
57*2022
Variational Bayes under Model Misspecification
Y Wang, DM Blei
Advances in Neural Information Processing Systems, 2019
532019
Instrumental variable value iteration for causal offline reinforcement learning
L Liao, Z Fu, Z Yang, Y Wang, M Kolar, Z Wang
arXiv preprint arXiv:2102.09907, 2021
442021
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
402023
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
382024
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
382021
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
352020
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models
Y Wang, A Degleris, AH Williams, SW Linderman
Journal of American Statistical Association, 2023
29*2023
Anticipating Performativity by Predicting from Predictions
C Mendler-Dünner, F Ding, Y Wang
Advances in Neural Information Processing Systems, 2022
262022
A Proxy Variable View of Shared Confounding
Y Wang, DM Blei
International Conference on Machine Learning, 10697-10707, 2021
25*2021
Towards clarifying the theory of the deconfounder
Y Wang, DM Blei
arXiv preprint arXiv:2003.04948, 2020
242020
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Articles 1–20