A Kernel-Expanded Stochastic Neural Network

14 January 2022

Papers citing "A Kernel-Expanded Stochastic Neural Network"

9 / 9 papers shown

Title
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 53 0 0 04 May 2025
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior Mingxuan Zhang Y. Sun F. Liang 34 0 0 01 Nov 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data Yaxin Fang Faming Liang CML 34 1 0 27 Mar 2024
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network Siqi Liang Y. Sun F. Liang BDL 27 8 0 09 Oct 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 32 2 0 12 Jun 2022
Consistent Sparse Deep Learning: Theory and Computation Y. Sun Qifan Song F. Liang BDL 35 27 0 25 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 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