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Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

16 August 2017
Hossein Soleimani
J. Hensman
Suchi Saria
ArXivPDFHTML

Papers citing "Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction"

13 / 13 papers shown
Title
Heterogeneous Multi-Task Gaussian Cox Processes
Heterogeneous Multi-Task Gaussian Cox Processes
Feng Zhou
Quyu Kong
Zhijie Deng
Fengxiang He
Peng Cui
Jun Zhu
38
2
0
29 Aug 2023
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
When can I Speak? Predicting initiation points for spoken dialogue
  agents
When can I Speak? Predicting initiation points for spoken dialogue agents
Siyan Li
Ashwin Paranjape
Christopher D. Manning
33
4
0
07 Aug 2022
Neighborhood Spatial Aggregation MC Dropout for Efficient
  Uncertainty-aware Semantic Segmentation in Point Clouds
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds
Chao Qi
Jianqin Yin
UQCV
3DPC
BDL
25
2
0
05 Dec 2021
Multi-output Gaussian Process Modulated Poisson Processes for Event
  Prediction
Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction
Salman Jahani
Shiyu Zhou
D. Veeramani
Jeff Schmidt
8
11
0
06 Nov 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task
  Pre-training on EHR Time-series Data
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott
Bret A. Nestor
Evan Kim
Wancong Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi Csail
AI4TS
22
15
0
20 Jul 2020
Machine Learning and Visualization in Clinical Decision Support: Current
  State and Future Directions
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
Gal Levy-Fix
G. Kuperman
Noémie Elhadad
26
12
0
06 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
45
290
0
29 May 2019
Variational Inference of Joint Models using Multivariate Gaussian
  Convolution Processes
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes
Xubo Yue
Raed Al Kontar
32
16
0
09 Mar 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After
  Learning
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
Peter F. Schulam
Suchi Saria
OOD
27
103
0
02 Jan 2019
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
101
4,954
0
19 Jun 2018
Heterogeneous Multi-output Gaussian Process Prediction
Heterogeneous Multi-output Gaussian Process Prediction
P. Moreno-Muñoz
Antonio Artés-Rodríguez
Mauricio A. Alvarez
19
70
0
19 May 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Bryan Lim
M. Schaar
22
32
0
27 Mar 2018
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