Uncertainty in Gradient Boosting via Ensembles

18 June 2020

Papers citing "Uncertainty in Gradient Boosting via Ensembles"

9 / 59 papers shown

Title
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark Gales UQCV 67 236 0 30 Apr 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 84 808 0 07 Feb 2019
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 88 362 0 22 Mar 2018
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning Stefan Depeweg José Miguel Hernández-Lobato Finale Doshi-Velez Steffen Udluft UQCV PER BDL UD 65 27 0 19 Oct 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,122 0 19 May 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 73 521 0 13 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 832 5,821 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 158 3,454 0 07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015