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Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated
  Failure Time Models

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
ArXivPDFHTML

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
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
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
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
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
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey
Ragja Palakkadavath
P. K. Srijith
BDL
16
6
0
29 Dec 2021
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
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
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
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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