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Promises and Pitfalls of Black-Box Concept Learning Models


Jun 24, 2021
Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan


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Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data


Jun 13, 2021
Beau Coker, Weiwei Pan, Finale Doshi-Velez


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Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks


Jul 14, 2020
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

* Accepted at the International Conference on Machine Learning (ICML) Workshop on Uncertainty and Robustness in Deep Learning (UDL) 2020 

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BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty


Jul 12, 2020
Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan

* ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks


Jul 08, 2020
Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan

* ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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Power-Constrained Bandits


Apr 13, 2020
Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez


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Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders


Mar 17, 2020
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

* PMLR 118:1-17, 2020 
* Accepted at the Proceedings of The 2nd Symposium on Advances in Approximate Bayesian Inference 2019 

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Ensembles of Locally Independent Prediction Models


Nov 27, 2019
Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez

* This is an expansion of arXiv:1806.08716 with different applications and focus, accepted to AAAI 2020 

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Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem


Nov 01, 2019
Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

* Accepted at ICML's Uncertainty and Robustness in Deep Learning Workshop 2019 

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Quality of Uncertainty Quantification for Bayesian Neural Network Inference


Jun 24, 2019
Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez

* Accepted to ICML UDL 2019 

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A general method for regularizing tensor decomposition methods via pseudo-data


May 24, 2019
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez


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Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models


Dec 07, 2018
Marouan Belhaj, Pavlos Protopapas, Weiwei Pan


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Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights


Dec 03, 2018
Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-velez


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Learning Qualitatively Diverse and Interpretable Rules for Classification


Jul 19, 2018
Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez

* Presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden (revision fixes minor issues) 

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Weighted Tensor Decomposition for Learning Latent Variables with Partial Data


Oct 18, 2017
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez


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An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization


Jun 20, 2016
Arjumand Masood, Weiwei Pan, Finale Doshi-Velez


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