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Empirical Gateaux Derivatives for Causal Inference


Aug 31, 2022
Michael I. Jordan, Yixin Wang, Angela Zhou

* Comments welcome 

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Predicting from Predictions


Aug 15, 2022
Celestine Mendler-Dünner, Frances Ding, Yixin Wang


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Valid Inference after Causal Discovery


Aug 11, 2022
Paula Gradu, Tijana Zrnic, Yixin Wang, Michael I. Jordan


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Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection


Jul 22, 2022
Kush Bhatia, Nikki Lijing Kuang, Yi-An Ma, Yixin Wang

* 56 pages, 8 figures 

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Breaking Feedback Loops in Recommender Systems with Causal Inference


Jul 15, 2022
Karl Krauth, Yixin Wang, Michael I. Jordan


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Recommendation Systems with Distribution-Free Reliability Guarantees


Jul 04, 2022
Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan


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Partial Identification with Noisy Covariates: A Robust Optimization Approach


Feb 22, 2022
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan

* Proceedings of Conference on Causal Learning and Reasoning (CLeaR) 2022 

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Augmenting Neural Networks with Priors on Function Values


Feb 21, 2022
Hunter Nisonoff, Yixin Wang, Jennifer Listgarten


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