Predictive Uncertainty Quantification with Compound Density Networks

4 February 2019

Papers citing "Predictive Uncertainty Quantification with Compound Density Networks"

8 / 8 papers shown

Title
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David A. Clifton CML 63 0 0 12 Feb 2025
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 22 73 0 13 Dec 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 30 8 0 25 May 2023
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Stochastic Maximum Likelihood Optimization via Hypernetworks Abdul-Saboor Sheikh Kashif Rasul A. Merentitis Urs M. Bergmann 50 18 0 04 Dec 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012