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"

17 / 17 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 45 110 0 06 Aug 2020
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 21 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 59 813 0 06 Nov 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 40 196 0 22 Jul 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 91 725 0 19 Jul 2019
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 34 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 90 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 87 349 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 107 479 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 55 628 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 34 233 0 17 Aug 2015
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 66 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 60 163 0 02 Feb 2015
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory Sumio Watanabe 111 2,377 0 14 Apr 2010