73 citations · 73 across the 2 of their papers we have counts for
4 papers
Quality of Uncertainty Quantification for Bayesian Neural Network Inference
Jiayu Yao, Weiwei Pan, Soumya Ghosh +1
Bayesian Neural Networks (BNNs) place priors over the parameters in a neural network. Inference in BNNs, however, is difficult; all inference methods for BNNs are approximate. In t…
A general method for regularizing tensor decomposition methods via pseudo-data
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
Tensor decomposition methods allow us to learn the parameters of latent variable models through decomposition of low-order moments of data. A significant limitation of these algori…
An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization
Arjumand Masood, Weiwei Pan, Finale Doshi-Velez
In this work, we empirically explore the question: how can we assess the quality of samples from some target distribution? We assume that the samples are provided by some valid Mon…
A Characterization of the Non-Uniqueness of Nonnegative Matrix Factorizations
W. Pan, F. Doshi-Velez
Nonnegative matrix factorization (NMF) is a popular dimension reduction technique that produces interpretable decomposition of the data into parts. However, this decompostion is no…