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Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
26 July 2021
Zhiliang Wu
Yinchong Yang
Peter A. Fasching
Volker Tresp
BDL
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Papers citing
"Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models"
8 / 8 papers shown
Title
Fairness in Survival Analysis with Distributionally Robust Optimization
Shu Hu
George H. Chen
52
4
0
31 Aug 2024
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
Janik-Vasily Benzin
Stefanie Rinderle-Ma
AI4TS
46
2
0
08 Feb 2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics
Shu Hu
George H. Chen
24
13
0
18 Nov 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
George H. Chen
34
2
0
21 Jun 2022
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey
Ragja Palakkadavath
P. K. Srijith
BDL
13
6
0
29 Dec 2021
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
72
171
0
08 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
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