Sparse encoding for more-interpretable feature-selecting representations
in probabilistic matrix factorization

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

8 December 2020

Joshua C. Chang

Shashaank Vattikuti

Papers citing "Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization"

16 / 16 papers shown

Title
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging N. Arun N. Gaw P. Singh Ken Chang M. Aggarwal ... J. Patel M. Gidwani Julius Adebayo M. D. Li Jayashree Kalpathy-Cramer FAtt 38 110 0 06 Aug 2020
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 19 6 0 05 Dec 2019
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 54 809 0 06 Nov 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 33 195 0 22 Jul 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 89 725 0 19 Jul 2019
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 32 77 0 13 Jun 2018
Interpretable VAEs for nonlinear group factor analysis Samuel K. Ainsworth N. Foti Adrian K. C. Lee E. Fox OOD DRL 79 19 0 17 Feb 2018
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 84 349 0 28 Nov 2017
Model Selection in Bayesian Neural Networks via Horseshoe Priors S. Ghosh Finale Doshi-Velez BDL 58 119 0 29 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 100 479 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 49 628 0 19 May 2017
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 73 711 0 02 Mar 2016
A simple sampler for the horseshoe estimator E. Makalic Daniel F. Schmidt 32 233 0 17 Aug 2015
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 61 4,014 0 16 Jul 2015
Comparison of Bayesian predictive methods for model selection Juho Piironen Aki Vehtari 58 280 0 30 Mar 2015
The Horseshoe+ Estimator of Ultra-Sparse Signals A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 56 163 0 02 Feb 2015