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Loss function based second-order Jensen inequality and its application
  to particle variational inference
v1v2 (latest)

Loss function based second-order Jensen inequality and its application to particle variational inference

9 June 2021
Futoshi Futami
Tomoharu Iwata
N. Ueda
Issei Sato
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Loss function based second-order Jensen inequality and its application to particle variational inference"

2 / 2 papers shown
Title
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for
  Regression Uncertainty Estimation
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation
Tomoharu Iwata
Atsutoshi Kumagai
BDLUQCV
76
1
0
13 Dec 2023
Excess risk analysis for epistemic uncertainty with application to
  variational inference
Excess risk analysis for epistemic uncertainty with application to variational inference
Futoshi Futami
Tomoharu Iwata
N. Ueda
Issei Sato
Masashi Sugiyama
UQCV
112
1
0
02 Jun 2022
1