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Yixin Wang
Yixin Wang
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Año
The Blessings of Multiple Causes
Y Wang, DM Blei
Journal of the American Statistical Association, 1-71, 2019
2102019
Frequentist Consistency of Variational Bayes
Y Wang, DM Blei
Journal of the American Statistical Association 114 (527), 1147-1161, 2019
1792019
Causal inference for recommender systems
Y Wang, D Liang, L Charlin, DM Blei
Fourteenth ACM Conference on Recommender Systems, 426-431, 2020
116*2020
Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
Y Wang, JR Zubizarreta
Biometrika 107 (1), 93-105, 2020
912020
Robust Probabilistic Modeling with Bayesian Data Reweighting
Y Wang, A Kucukelbir, DM Blei
International Conference on Machine Learning, 3646-3655, 2017
73*2017
Using embeddings to correct for unobserved confounding in networks
V Veitch, Y Wang, DM Blei
Advances in Neural Information Processing Systems, 2019
47*2019
Variational Bayes under Model Misspecification
Y Wang, DM Blei
Advances in Neural Information Processing Systems, 2019
342019
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
222021
Desiderata for representation learning: A causal perspective
Y Wang, MI Jordan
arXiv preprint arXiv:2109.03795, 2021
192021
Black Box FDR
W Tansey, Y Wang, DM Blei, R Rabadan
International Conference on Machine Learning, 4874-4883, 2018
172018
A Proxy Variable View of Shared Confounding
Y Wang, DM Blei
International Conference on Machine Learning, 10697-10707, 2021
16*2021
Towards clarifying the theory of the deconfounder
Y Wang, DM Blei
arXiv preprint arXiv:2003.04948, 2020
162020
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models
Y Wang, A Degleris, AH Williams, SW Linderman
arXiv preprint arXiv:2201.05044, 2022
15*2022
Equal opportunity and affirmative action via counterfactual predictions
Y Wang, D Sridhar, DM Blei
arXiv preprint arXiv:1905.10870, 2019
152019
Posterior Collapse and Latent Variable Non-identifiability
Y Wang, DM Blei, JP Cunningham
Advances in Neural Information Processing Systems, 2021
142021
A Bayesian Hierarchical Model for Spatial Extremes with Multiple Durations
Y Wang, MKP So
Computational Statistics & Data Analysis 95, 39-56, 2016
142016
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
132021
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records (EHRs)
L Zhang, Y Wang, A Ostropolets, JJ Mulgrave, DM Blei, G Hripcsak
Proceedings of Machine Learning Research 1, 22, 2019
13*2019
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
122020
Identifiable deep generative models via sparse decoding
GE Moran, D Sridhar, Y Wang, D Blei
Transactions on Machine Learning Research, 2022
11*2022
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Artículos 1–20