Yixin Wang

发表

Bayesian Inference for Latent Hawkes Processes

Scott W. Linderman, D. Blei, Yixin Wang, 2017 .

Frequentist Consistency of Variational Bayes

David M. Blei, Yixin Wang, D. Blei, 2017, Journal of the American Statistical Association.

The Blessings of Multiple Causes

David M. Blei, Yixin Wang, D. Blei, 2018, Journal of the American Statistical Association.

Variational Bayes under Model Misspecification

Yixin Wang, David M. Blei, D. Blei, 2019, NeurIPS.

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records

George Hripcsak, David M. Blei, Yixin Wang, 2019, MLHC.

Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations

Yixin Wang, J. Zubizarreta, 2017, Biometrika.

Large Sample Properties of Matching for Balance

Yixin Wang, J. Zubizarreta, 2019, Statistica Sinica.

Conformal Sensitivity Analysis for Individual Treatment Effects

David M. Blei, Claudia Shi, Yixin Wang, 2021, 2112.03493.

A Proxy Variable View of Shared Confounding

David M. Blei, Yixin Wang, D. Blei, 2021, ICML.

The Blessings of Multiple Causes: Rejoinder

David M. Blei, Yixin Wang, D. Blei, 2019, Journal of the American Statistical Association.

Black Box FDR pdf

David M. Blei, Raul Rabadan, Yixin Wang, 2018, ICML.

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models pdf

Scott W. Linderman, Yixin Wang, Alex H. Williams, 2022, ArXiv.

A Bayesian hierarchical model for spatial extremes with multiple durations

Yixin Wang, Mike K. P. So, Yixin Wang, 2016, Comput. Stat. Data Anal..

Conformal Sensitivity Analysis for Individual Treatment Effects

D. Blei, Mingzhang Yin, Yixin Wang, 2021, Journal of the American Statistical Association.

Adjusting for indirectly measured confounding using large-scale propensity score

D. Blei, M. Schuemie, G. Hripcsak, 2021, J. Biomed. Informatics.

Posterior Collapse and Latent Variable Non-identifiability

J. Cunningham, D. Blei, Yixin Wang, 2023, NeurIPS.

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making

D. Blei, G. Hripcsak, Yixin Wang, 2022, ArXiv.

Double Empirical Bayes Testing

David Blei, David M. Blei, Yixin Wang, 2020, International statistical review = Revue internationale de statistique.

Identifiable Deep Generative Models via Sparse Decoding

Gemma E. Moran, D. Blei, Yixin Wang, 2021, Trans. Mach. Learn. Res..

Adjusting for Unobserved Confounding Using Large-Scale Propensity Scores

George Hripcsak, David Blei, Linying Zhang, 2021 .

Desiderata for Representation Learning: A Causal Perspective

Michael I. Jordan, Yixin Wang, 2021, ArXiv.

Partial Identification with Noisy Covariates: A Robust Optimization Approach

Michael I. Jordan, M.I. Jordan, Mingzhang Yin, 2022, CLeaR.

Towards Clarifying the Theory of the Deconfounder pdf

David M. Blei, Yixin Wang, D. Blei, 2020, ArXiv.

Optimization-based Causal Estimation from Heterogenous Environments

D. Blei, Mingzhang Yin, Yixin Wang, 2021, J. Mach. Learn. Res..

Using Embeddings to Correct for Unobserved Confounding

David M. Blei, Yixin Wang, Victor Veitch, 2019, NeurIPS.

Causal Inference for Recommender Systems

D. Blei, Laurent Charlin, Yixin Wang, 2020, RecSys.

Identifiable Variational Autoencoders via Sparse Decoding pdf

Dhanya Sridhar, David M. Blei, Gemma E. Moran, 2021, ArXiv.

The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs) pdf

George Hripcsak, Yixin Wang, David M. Blei, 2019, ArXiv.

Learning Equilibria in Matching Markets from Bandit Feedback

Michael I. Jordan, J. Steinhardt, Yixin Wang, 2021, NeurIPS.

Robust Probabilistic Modeling with Bayesian Data Reweighting

David M. Blei, Yixin Wang, Alp Kucukelbir, 2016, ICML.

The Deconfounded Recommender: A Causal Inference Approach to Recommendation pdf

David M. Blei, Dawen Liang, Yixin Wang, 2018, ArXiv.

Comment: Variational Autoencoders as Empirical Bayes

David M. Blei, Yixin Wang, Andrew C. Miller, 2019, Statistical Science.

Posterior Collapse and Latent Variable Non-identifiability

J. Cunningham, D. Blei, Yixin Wang, 2023, NeurIPS.

Point process models for sequence detection in high-dimensional neural spike trains pdf

Scott W. Linderman, Yixin Wang, Alex H. Williams, 2020, NeurIPS.

Evaluating Bayesian Models with Posterior Dispersion Indices

David M. Blei, Yixin Wang, Alp Kucukelbir, 2017, ICML.

Multiple Causes: A Causal Graphical View

D. Blei, Yixin Wang, 2019, ArXiv.

The Blessings of Multiple Causes

D. Blei, Yixin Wang, 2018, Journal of the American Statistical Association.

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models

Scott W. Linderman, Alex H. Williams, Yixin Wang, 2022, Journal of the American Statistical Association.

Equal Opportunity and Affirmative Action via Counterfactual Predictions pdf

Yixin Wang, Dhanya Sridhar, David M. Blei, 2019, ArXiv.

Equal Opportunity and Afﬁrmative Action via Counterfactual Predictions

D. Blei, Yixin Wang, Dhanya Sridhar, 2022 .

Multi-Source Causal Inference Using Control Variates

Michael I. Jordan, Wenshuo Guo, Yixin Wang, 2021, ArXiv.

Multiple Causes: A Causal Graphical View pdf

Yixin Wang, David M. Blei, D. Blei, 2019, ArXiv.

Multi-Source Causal Inference Using Control Variates pdf

Peng Ding, Wenshuo Guo, Serena Wang, 2021, arXiv.org.

Minimal Approximately Balancing Weights: Asymptotic Properties and Practical Considerations

José R. Zubizarreta, Yixin Wang, Yixin Wang, 2017 .

Large Sample Properties of Matching for Balance

Yixin Wang, J. Zubizarreta, 2019, Statistica Sinica.

Causal fairness assessment of treatment allocation with electronic health records

D. Blei, G. Hripcsak, Yixin Wang, 2022, J. Biomed. Informatics.