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Probabilistic Conformal Prediction Using Conditional Random Samples


Jun 20, 2022
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei


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Learning Transferrable Representations of Career Trajectories for Economic Prediction


Mar 10, 2022
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei


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Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport


Feb 07, 2022
Liyi Zhang, Christian A. Naesseth, David M. Blei

* 14 pages, 8 figures 

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Unsupervised Representation Learning via Neural Activation Coding


Dec 07, 2021
Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei

* Published in International Conference on Machine Learning (ICML), 2021 

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Identifiable Variational Autoencoders via Sparse Decoding


Oct 20, 2021
Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei


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Optimization-based Causal Estimation from Heterogenous Environments


Sep 24, 2021
Mingzhang Yin, Yixin Wang, David M. Blei


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Rationales for Sequential Predictions


Sep 14, 2021
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush

* To appear in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) 

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Text-Based Ideal Points


May 08, 2020
Keyon Vafa, Suresh Naidu, David M. Blei

* To appear in the Proceedings of the 2020 Conference of the Association for Computational Linguistics (ACL 2020) 

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Towards Clarifying the Theory of the Deconfounder


Mar 10, 2020
Yixin Wang, David M. Blei


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